This data set reports the results of a rainfall exclusion experiment in the Tapajos National Forest (Flona-Tapajos) at km 67 along the Santarem-Cuiaba BR-163 highway. From December 1999 through April 2005, following a one-year pre-treatment phase, rainfall was excluded from one of two 1-hectare plots of seasonally dry humid tropical forest. Soil emissions of carbon dioxide (CO2), nitric oxide (NO), nitrous oxide (N2O), and methane (CH4) were monitored in order to determine the likely effect of increasingly frequent El Nino drought episodes in the Amazon basin. Soil trace gas flux data are provided in one comma-separated data file.
This data set reports the results of a rainfall exclusion experiment in the Tapajos National Forest (Flona-Tapajos) at km 67 along the Santarem-Cuiaba BR-163 highway. From December 1999 through April 2005, following a one-year pre-treatment phase, rainfall was excluded from one of two 1-hectare plots of seasonally dry humid tropical forest. Soil emissions of carbon dioxide (CO2), nitric oxide (NO), nitrous oxide (N2O), and methane (CH4) were monitored in order to determine the likely effect of increasingly frequent El Nino drought episodes in the Amazon basin. Soil trace gas flux data are provided in one comma-separated data file.
ABSTRACT: This data set reports the results of a rainfall exclusion experiment in the Tapajos National Forest (Flona-Tapajos) at km 67 along the Santarem-Cuiaba BR-163 highway. From December 1999 through April 2005, following a one-year pre-treatment phase, rainfall was excluded from one of two 1-hectare plots of seasonally dry humid tropical forest. Soil emissions of carbon dioxide (CO2), nitric oxide (NO), nitrous oxide (N2O), and methane (CH4) were monitored in order to determine the likely effect of increasingly frequent El Nino drought episodes in the Amazon basin. Soil trace gas flux data are provided in one comma-separated data file.
This data set reports the results of a study to quantify the effects of moisture and substrate availability on soil trace gas fluxes in a regrowth forest in Eastern Amazonia, Apeu, Para, Brazil, from 1999-2003. The efflux of carbon dioxide (CO2), nitric oxide (NO), nitrous oxide (N2O), and methane (CH4) from soil was measured as a response to (1) increased soil moisture availability during the dry season by irrigation and (2) decreased substrate availability by continuous removal of aboveground litter and compared to (3) untreated control plots. Soil gas fluxes are reported in one comma-separated data file.
This data set reports the results of a study to quantify the effects of moisture and substrate availability on soil trace gas fluxes in a regrowth forest in Eastern Amazonia, Apeu, Para, Brazil, from 1999-2003. The efflux of carbon dioxide (CO2), nitric oxide (NO), nitrous oxide (N2O), and methane (CH4) from soil was measured as a response to (1) increased soil moisture availability during the dry season by irrigation and (2) decreased substrate availability by continuous removal of aboveground litter and compared to (3) untreated control plots. Soil gas fluxes are reported in one comma-separated data file.
ABSTRACT: This data set reports the results of a study to quantify the effects of moisture and substrate availability on soil trace gas fluxes in a regrowth forest in Eastern Amazonia, Apeu, Para, Brazil, from 1999-2003. The efflux of carbon dioxide (CO2), nitric oxide (NO), nitrous oxide (N2O), and methane (CH4) from soil was measured as a response to (1) increased soil moisture availability during the dry season by irrigation and (2) decreased substrate availability by continuous removal of aboveground litter and compared to (3) untreated control plots. Soil gas fluxes are reported in one comma-separated data file.
This data set reports monthly measured soil volumetric water content (VWC) from a rainfall exclusion experiment that was conducted from 1999-2001 at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad 2002). There are two ASCII comma delimited files with measured VWC, one for the control plot and one for the rainfall exclusion plot.These measured values were used by the authors to develop a model of daily changes in the distribution of water through the soil layers. The simulated daily VWC values are also provided in the file with the measured VWC. For comparison, results of VWC simulation for the control and treatment plots using a STELLA model which incorporates rainfall and plant water uptake are provided. There are two ASCII comma delimited files of simulated results. See Belk et. al., 2007 for details.
This data set reports monthly measured soil volumetric water content (VWC) from a rainfall exclusion experiment that was conducted from 1999-2001 at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad 2002). There are two ASCII comma delimited files with measured VWC, one for the control plot and one for the rainfall exclusion plot.These measured values were used by the authors to develop a model of daily changes in the distribution of water through the soil layers. The simulated daily VWC values are also provided in the file with the measured VWC. For comparison, results of VWC simulation for the control and treatment plots using a STELLA model which incorporates rainfall and plant water uptake are provided. There are two ASCII comma delimited files of simulated results. See Belk et. al., 2007 for details.
ABSTRACT: This data set reports monthly measured soil volumetric water content (VWC) from a rainfall exclusion experiment that was conducted from 1999-2001 at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad 2002). There are two ASCII comma delimited files with measured VWC, one for the control plot and one for the rainfall exclusion plot.These measured values were used by the authors to develop a model of daily changes in the distribution of water through the soil layers. The simulated daily VWC values are also provided in the file with the measured VWC. For comparison, results of VWC simulation for the control and treatment plots using a STELLA model which incorporates rainfall and plant water uptake are provided. There are two ASCII comma delimited files of simulated results. See Belk et. al., 2007 for details.
This data set includes measurements of dissolved nutrient and organic carbon concentrations, as well as dissolved oxygen, alkalinity, conductivity, turbidity, pH, and discharge from three streams located in mixed land use (crop fields, pastures, secondary vegetation, and forest) and two streams in entirely forested landscapes near Paragominas in the state of Para, Brazil. Stream water samples were collected during two different periods: 1) weekly from August 1999 to July 2001 at location Igarape 54, Station 5 and 2) monthly from April 2003 through October 2005 at all of the stations. The exact start date and suite of measurements vary by location. In addition, samples from precipitation collectors at the Paragominas Meteorological Station were measured for nutrient concentrations every two weeks from 1999 to 2001. There are two comma delimited ASCII data files with this data set.
This data set includes measurements of dissolved nutrient and organic carbon concentrations, as well as dissolved oxygen, alkalinity, conductivity, turbidity, pH, and discharge from three streams located in mixed land use (crop fields, pastures, secondary vegetation, and forest) and two streams in entirely forested landscapes near Paragominas in the state of Para, Brazil. Stream water samples were collected during two different periods: 1) weekly from August 1999 to July 2001 at location Igarape 54, Station 5 and 2) monthly from April 2003 through October 2005 at all of the stations. The exact start date and suite of measurements vary by location. In addition, samples from precipitation collectors at the Paragominas Meteorological Station were measured for nutrient concentrations every two weeks from 1999 to 2001. There are two comma delimited ASCII data files with this data set.
ABSTRACT: This data set includes measurements of dissolved nutrient and organic carbon concentrations, as well as dissolved oxygen, alkalinity, conductivity, turbidity, pH, and discharge from three streams located in mixed land use (crop fields, pastures, secondary vegetation, and forest) and two streams in entirely forested landscapes near Paragominas in the state of Para, Brazil. Stream water samples were collected during two different periods: 1) weekly from August 1999 to July 2001 at location Igarape 54, Station 5 and 2) monthly from April 2003 through October 2005 at all of the stations. The exact start date and suite of measurements vary by location. In addition, samples from precipitation collectors at the Paragominas Meteorological Station were measured for nutrient concentrations every two weeks from 1999 to 2001. There are two comma delimited ASCII data files with this data set.
This data set contains soil emissions of nitric oxide (NO), carbon dioxide (CO2), nitrous oxide (N2O), and methane (CH4) measured in plots of a secondary-growth forest fertilization experiment located 6.5-km northwest of the town of Paragominas, Para, Brazil during 1999-2001. Control, pre-, and post-treatment plot trace gas emission results are reported in a single comma-separated file.A highly degraded former pasture with secondary-growth forest (capoeira -- fallow vegetation) at Fazenda Vitoria, 6.5-km northwest of the town of Paragominas, Para, was chosen for this fertilization experiment. Twelve 20m x 20m plots were established: three were fertilized with nitrogen (only), three were fertilized with phosphorus (only), and three were fertilized with both nitrogen and phosphorus. The remaining three plots served as the control for these treatments. Application of the fertilizers occurred Jan 19, 2000 and February 2001, at the beginning of the rainy season.
This data set contains soil emissions of nitric oxide (NO), carbon dioxide (CO2), nitrous oxide (N2O), and methane (CH4) measured in plots of a secondary-growth forest fertilization experiment located 6.5-km northwest of the town of Paragominas, Para, Brazil during 1999-2001. Control, pre-, and post-treatment plot trace gas emission results are reported in a single comma-separated file.A highly degraded former pasture with secondary-growth forest (capoeira -- fallow vegetation) at Fazenda Vitoria, 6.5-km northwest of the town of Paragominas, Para, was chosen for this fertilization experiment. Twelve 20m x 20m plots were established: three were fertilized with nitrogen (only), three were fertilized with phosphorus (only), and three were fertilized with both nitrogen and phosphorus. The remaining three plots served as the control for these treatments. Application of the fertilizers occurred Jan 19, 2000 and February 2001, at the beginning of the rainy season.
ABSTRACT: This data set contains soil emissions of nitric oxide (NO), carbon dioxide (CO2), nitrous oxide (N2O), and methane (CH4) measured in plots of a secondary-growth forest fertilization experiment located 6.5-km northwest of the town of Paragominas, Para, Brazil during 1999-2001. Control, pre-, and post-treatment plot trace gas emission results are reported in a single comma-separated file.A highly degraded former pasture with secondary-growth forest (capoeira -- fallow vegetation) at Fazenda Vitoria, 6.5-km northwest of the town of Paragominas, Para, was chosen for this fertilization experiment. Twelve 20m x 20m plots were established: three were fertilized with nitrogen (only), three were fertilized with phosphorus (only), and three were fertilized with both nitrogen and phosphorus. The remaining three plots served as the control for these treatments. Application of the fertilizers occurred Jan 19, 2000 and February 2001, at the beginning of the rainy season.
This data set consists of water chemistry data from streams, wells, rainwater, and canopy throughfall samples. The field measurements were carried out at Rancho Grande in the Brazilian state of Rondonia, in the southwestern Brazilian Amazon basin, at two adjacent watersheds, a forest (1.37 ha), and pasture (0.73 ha). Samples were collected during one entire rainy season starting in August 2004 and ending in April 2005. There is one comma-delimited data file with this data set.Ridge, Tennessee, U.S.A.
This data set consists of water chemistry data from streams, wells, rainwater, and canopy throughfall samples. The field measurements were carried out at Rancho Grande in the Brazilian state of Rondonia, in the southwestern Brazilian Amazon basin, at two adjacent watersheds, a forest (1.37 ha), and pasture (0.73 ha). Samples were collected during one entire rainy season starting in August 2004 and ending in April 2005. There is one comma-delimited data file with this data set.Ridge, Tennessee, U.S.A.
ABSTRACT: This data set consists of water chemistry data from streams, wells, rainwater, and canopy throughfall samples. The field measurements were carried out at Rancho Grande in the Brazilian state of Rondonia, in the southwestern Brazilian Amazon basin, at two adjacent watersheds, a forest (1.37 ha), and pasture (0.73 ha). Samples were collected during one entire rainy season starting in August 2004 and ending in April 2005. There is one comma-delimited data file with this data set.Ridge, Tennessee, U.S.A.
This data set provides the results of (1) the physical and chemical characterization of streams and (2) comparable chemical analyses of extracted soil water in the Aldeia River basin at Fazenda Nova Vida, a large cattle ranch 50 km from the city of Ariquemes, in central Rondonia, Brazil, from 1994-2001. Data are provided on the stream beds including cross-sectional depth and stream bed surface type. Stream discharge is reported. Streamwater was sampled and analyzed periodically over the eight year duration of the study at numerous steam locations. Soil solution samples were collected at the same frequency with lysimeters placed at 30 cm and 100 cm depths on the floodplain and at upland forest and pasture sites in the Aldeia River watershed. There are five comma-delimited data files in this data set.
This data set provides the results of (1) the physical and chemical characterization of streams and (2) comparable chemical analyses of extracted soil water in the Aldeia River basin at Fazenda Nova Vida, a large cattle ranch 50 km from the city of Ariquemes, in central Rondonia, Brazil, from 1994-2001. Data are provided on the stream beds including cross-sectional depth and stream bed surface type. Stream discharge is reported. Streamwater was sampled and analyzed periodically over the eight year duration of the study at numerous steam locations. Soil solution samples were collected at the same frequency with lysimeters placed at 30 cm and 100 cm depths on the floodplain and at upland forest and pasture sites in the Aldeia River watershed. There are five comma-delimited data files in this data set.
ABSTRACT: This data set provides the results of (1) the physical and chemical characterization of streams and (2) comparable chemical analyses of extracted soil water in the Aldeia River basin at Fazenda Nova Vida, a large cattle ranch 50 km from the city of Ariquemes, in central Rondonia, Brazil, from 1994-2001. Data are provided on the stream beds including cross-sectional depth and stream bed surface type. Stream discharge is reported. Streamwater was sampled and analyzed periodically over the eight year duration of the study at numerous steam locations. Soil solution samples were collected at the same frequency with lysimeters placed at 30 cm and 100 cm depths on the floodplain and at upland forest and pasture sites in the Aldeia River watershed. There are five comma-delimited data files in this data set.
This data set reports the carbon and nutrient stocks of above-ground vegetation and soil pools at three locations where post-pasture secondary forest recovery ranged from 0 to 14 years since abandonment. These sites are located in the state of Amazonas, Brazil, along the road BR-174 north of the city of Manaus within three fazendas (cattle ranches) now in various stages of grazing, pasture abandonment, or pasture reclamation: Fazenda Rodao (km 46), Embrapa-District of SUFRAMA (DAS) pasture research site (km 53) and Fazenda Dimona (km 72). From September 2000 to July 2001, measurements were obtained for aboveground biomass (cite ND-04 Sec For Recovery), foliage and wood samples were collected and analyzed for total nutrient (C, N, P, K, Ca and Mg) concentrations, and soil samples from 0 to 45 cm depth were collected and analyzed for total nutrient (C, N, P, K, Ca and Mg) concentrations. Total carbon (C) and nutrient stocks were calculated for various vegetation and soil pools to gain an understanding of the dynamics of nutrient and C buildup in regenerating secondary forests in central Amazonia (Feldpausch et al., 2004). There are 2 comma-delimited ASCII data files with this data set.
This data set reports the carbon and nutrient stocks of above-ground vegetation and soil pools at three locations where post-pasture secondary forest recovery ranged from 0 to 14 years since abandonment. These sites are located in the state of Amazonas, Brazil, along the road BR-174 north of the city of Manaus within three fazendas (cattle ranches) now in various stages of grazing, pasture abandonment, or pasture reclamation: Fazenda Rodao (km 46), Embrapa-District of SUFRAMA (DAS) pasture research site (km 53) and Fazenda Dimona (km 72). From September 2000 to July 2001, measurements were obtained for aboveground biomass (cite ND-04 Sec For Recovery), foliage and wood samples were collected and analyzed for total nutrient (C, N, P, K, Ca and Mg) concentrations, and soil samples from 0 to 45 cm depth were collected and analyzed for total nutrient (C, N, P, K, Ca and Mg) concentrations. Total carbon (C) and nutrient stocks were calculated for various vegetation and soil pools to gain an understanding of the dynamics of nutrient and C buildup in regenerating secondary forests in central Amazonia (Feldpausch et al., 2004). There are 2 comma-delimited ASCII data files with this data set.
ABSTRACT: This data set reports the carbon and nutrient stocks of above-ground vegetation and soil pools at three locations where post-pasture secondary forest recovery ranged from 0 to 14 years since abandonment. These sites are located in the state of Amazonas, Brazil, along the road BR-174 north of the city of Manaus within three fazendas (cattle ranches) now in various stages of grazing, pasture abandonment, or pasture reclamation: Fazenda Rodao (km 46), Embrapa-District of SUFRAMA (DAS) pasture research site (km 53) and Fazenda Dimona (km 72). From September 2000 to July 2001, measurements were obtained for aboveground biomass (cite ND-04 Sec For Recovery), foliage and wood samples were collected and analyzed for total nutrient (C, N, P, K, Ca and Mg) concentrations, and soil samples from 0 to 45 cm depth were collected and analyzed for total nutrient (C, N, P, K, Ca and Mg) concentrations. Total carbon (C) and nutrient stocks were calculated for various vegetation and soil pools to gain an understanding of the dynamics of nutrient and C buildup in regenerating secondary forests in central Amazonia (Feldpausch et al., 2004). There are 2 comma-delimited ASCII data files with this data set.
This data set reports measurements of the canopy and structure of secondary forests regenerating from abandoned pastures. These secondary forests are located in the state of Amazonas, Brazil, along the road BR-174 north of the city of Manaus within three fazendas (cattle ranches) now in various stages of grazing, pasture abandonment, or pasture reclamation: Fazenda Rodao (km 46), Embrapa-District of SUFRAMA (DAS) pasture research site (km 53), and Fazenda Dimona (km 72). Ten secondary forest study sites were selected within the three fazendas where post-pasture forest recovery ranged from 0 to 14 years since abandonment.From 2000-2001 estimates of leaf area index (LAI) and canopy cover were derived from hemispherical canopy digital photographs, and estimates of aboveground biomass and basal area were derived utilizing allometric equations from diameter at breast height (DBH) measurements. Estimates were classified by growth-form and diameter class. See Feldpausch et al. (2005) for more information. There are four comma-delimited data files with this data set and one companion file with information regarding the allometric equations relating diameter at breast height (for dbh > 5 cm) to dry weight for biomass calculations.
This data set reports measurements of the canopy and structure of secondary forests regenerating from abandoned pastures. These secondary forests are located in the state of Amazonas, Brazil, along the road BR-174 north of the city of Manaus within three fazendas (cattle ranches) now in various stages of grazing, pasture abandonment, or pasture reclamation: Fazenda Rodao (km 46), Embrapa-District of SUFRAMA (DAS) pasture research site (km 53), and Fazenda Dimona (km 72). Ten secondary forest study sites were selected within the three fazendas where post-pasture forest recovery ranged from 0 to 14 years since abandonment.From 2000-2001 estimates of leaf area index (LAI) and canopy cover were derived from hemispherical canopy digital photographs, and estimates of aboveground biomass and basal area were derived utilizing allometric equations from diameter at breast height (DBH) measurements. Estimates were classified by growth-form and diameter class. See Feldpausch et al. (2005) for more information. There are four comma-delimited data files with this data set and one companion file with information regarding the allometric equations relating diameter at breast height (for dbh > 5 cm) to dry weight for biomass calculations.
ABSTRACT: This data set reports measurements of the canopy and structure of secondary forests regenerating from abandoned pastures. These secondary forests are located in the state of Amazonas, Brazil, along the road BR-174 north of the city of Manaus within three fazendas (cattle ranches) now in various stages of grazing, pasture abandonment, or pasture reclamation: Fazenda Rodao (km 46), Embrapa-District of SUFRAMA (DAS) pasture research site (km 53), and Fazenda Dimona (km 72). Ten secondary forest study sites were selected within the three fazendas where post-pasture forest recovery ranged from 0 to 14 years since abandonment.From 2000-2001 estimates of leaf area index (LAI) and canopy cover were derived from hemispherical canopy digital photographs, and estimates of aboveground biomass and basal area were derived utilizing allometric equations from diameter at breast height (DBH) measurements. Estimates were classified by growth-form and diameter class. See Feldpausch et al. (2005) for more information. There are four comma-delimited data files with this data set and one companion file with information regarding the allometric equations relating diameter at breast height (for dbh > 5 cm) to dry weight for biomass calculations.
This data set reports the results of a comprehensive study of mound building termites at the Embrapa research station in the Distrito Agropecuario da SUFRAMA, located at km 53 of the federal highway BR 174 outside Manaus, Amazonas, Brazil. Study areas included a primary forest site, an adjacent 7-8 year old secondary forest site, and two abandoned pasture sites which were being used for agroforest purposes.Reported are (1) the termite species occurrence and areal abundance of mounds, (2) characterization of the mound soil microbiological community, root biomass, seedling emergence success, soil respiration, nitrogen mineralization, and (3) the characterization of the termite mound soil physical, chemical, and hydraulic properties. Analyses were also performed on samples from adjacent control soils for comparison. This data set contains 15 comma-delimited data files.
This data set reports the results of a comprehensive study of mound building termites at the Embrapa research station in the Distrito Agropecuario da SUFRAMA, located at km 53 of the federal highway BR 174 outside Manaus, Amazonas, Brazil. Study areas included a primary forest site, an adjacent 7-8 year old secondary forest site, and two abandoned pasture sites which were being used for agroforest purposes.Reported are (1) the termite species occurrence and areal abundance of mounds, (2) characterization of the mound soil microbiological community, root biomass, seedling emergence success, soil respiration, nitrogen mineralization, and (3) the characterization of the termite mound soil physical, chemical, and hydraulic properties. Analyses were also performed on samples from adjacent control soils for comparison. This data set contains 15 comma-delimited data files.
ABSTRACT: This data set reports the results of a comprehensive study of mound building termites at the Embrapa research station in the Distrito Agropecuario da SUFRAMA, located at km 53 of the federal highway BR 174 outside Manaus, Amazonas, Brazil. Study areas included a primary forest site, an adjacent 7-8 year old secondary forest site, and two abandoned pasture sites which were being used for agroforest purposes.Reported are (1) the termite species occurrence and areal abundance of mounds, (2) characterization of the mound soil microbiological community, root biomass, seedling emergence success, soil respiration, nitrogen mineralization, and (3) the characterization of the termite mound soil physical, chemical, and hydraulic properties. Analyses were also performed on samples from adjacent control soils for comparison. This data set contains 15 comma-delimited data files.
This data set provides measurements of soil properties compiled from 39 studies on nutrient dynamics in natural forests and forest-derived land uses (pasture, shifting cultivation and tree plantations) conducted in Amazonia over the period of 1950-2001. The initial literature survey for the data consisted of more than 100 studies conducted during this period.The objectives of this project were to compare soil data from major land uses across Amazonia and identify gaps in present knowledge that offer direction for future research. Five widely cited hypotheses were tested concerning the effects of land-use change on soil properties by analyzing data compiled from 39 studies in multi-factorial ANOVA models:-- effective cation exchange capacity (ECEC), and exchangeable calcium (Ca) concentrations rise and remain elevated following the slash-and-burn conversion of forest to pasture or crop fields soil contents of total carbon (C), nitrogen (N), and inorganic readily (i.e., Bray, Mehlich I or resin) extractable phosphorus (Pi) decline following forest-to-pasture conversion-- soil concentrations of total C, N, and Pi increase in secondary forests with time since abandonment from agricultural activities-- soil nutrient conditions under all tree-dominated land-use systems (natural or not) remain the same-- higher efficiencies of nutrient utilization occur where soil nutrient pools are lower There is one comma-delimited ASCII file (.csv) with this data set and a list of the 39 studies used in this data set provided as a companion file in text format.
This data set provides measurements of soil properties compiled from 39 studies on nutrient dynamics in natural forests and forest-derived land uses (pasture, shifting cultivation and tree plantations) conducted in Amazonia over the period of 1950-2001. The initial literature survey for the data consisted of more than 100 studies conducted during this period.The objectives of this project were to compare soil data from major land uses across Amazonia and identify gaps in present knowledge that offer direction for future research. Five widely cited hypotheses were tested concerning the effects of land-use change on soil properties by analyzing data compiled from 39 studies in multi-factorial ANOVA models:-- effective cation exchange capacity (ECEC), and exchangeable calcium (Ca) concentrations rise and remain elevated following the slash-and-burn conversion of forest to pasture or crop fields soil contents of total carbon (C), nitrogen (N), and inorganic readily (i.e., Bray, Mehlich I or resin) extractable phosphorus (Pi) decline following forest-to-pasture conversion-- soil concentrations of total C, N, and Pi increase in secondary forests with time since abandonment from agricultural activities-- soil nutrient conditions under all tree-dominated land-use systems (natural or not) remain the same-- higher efficiencies of nutrient utilization occur where soil nutrient pools are lower There is one comma-delimited ASCII file (.csv) with this data set and a list of the 39 studies used in this data set provided as a companion file in text format.
ABSTRACT: This data set provides measurements of soil properties compiled from 39 studies on nutrient dynamics in natural forests and forest-derived land uses (pasture, shifting cultivation and tree plantations) conducted in Amazonia over the period of 1950-2001. The initial literature survey for the data consisted of more than 100 studies conducted during this period.The objectives of this project were to compare soil data from major land uses across Amazonia and identify gaps in present knowledge that offer direction for future research. Five widely cited hypotheses were tested concerning the effects of land-use change on soil properties by analyzing data compiled from 39 studies in multi-factorial ANOVA models:-- effective cation exchange capacity (ECEC), and exchangeable calcium (Ca) concentrations rise and remain elevated following the slash-and-burn conversion of forest to pasture or crop fields soil contents of total carbon (C), nitrogen (N), and inorganic readily (i.e., Bray, Mehlich I or resin) extractable phosphorus (Pi) decline following forest-to-pasture conversion-- soil concentrations of total C, N, and Pi increase in secondary forests with time since abandonment from agricultural activities-- soil nutrient conditions under all tree-dominated land-use systems (natural or not) remain the same-- higher efficiencies of nutrient utilization occur where soil nutrient pools are lower There is one comma-delimited ASCII file (.csv) with this data set and a list of the 39 studies used in this data set provided as a companion file in text format.
This data set provides (1) delta 15N ratios and nitrogen concentrations for foliar samples and (2) delta 13C and delta 15N ratios as well as carbon and nitrogen concentrations for soil samples collected from cerrado sites within the Ecological Reserve of the Brazilian Institute of Geography and Statistic (IBGE), Brasilia, Brazil. Foliar samples, collected from 320 individuals representing 45 woody tree and shrub species, and soil samples were collected from 5 cerrado locations (2 in campo sujo, 2 in cerrado denso and 1 in cerrado). Soil samples were collected to 450 cm depth in the campo sujo and 800 cm depth elsewhere. Samples were collected during the period December 1999 to September 2000.  Eiten (1972) described campo sujo as an open savanna with scattered trees and shrubs, cerrado sensu stricto as a savanna woodland with abundant evergreen and deciduous trees and shrubs and an herbaceous understory, and cerrado denso as medium to tall woodlands with closed or semiclosed canopies (Bustamante et al., 2004).There are two comma-delimited data files with this data set.
This data set provides (1) delta 15N ratios and nitrogen concentrations for foliar samples and (2) delta 13C and delta 15N ratios as well as carbon and nitrogen concentrations for soil samples collected from cerrado sites within the Ecological Reserve of the Brazilian Institute of Geography and Statistic (IBGE), Brasilia, Brazil. Foliar samples, collected from 320 individuals representing 45 woody tree and shrub species, and soil samples were collected from 5 cerrado locations (2 in campo sujo, 2 in cerrado denso and 1 in cerrado). Soil samples were collected to 450 cm depth in the campo sujo and 800 cm depth elsewhere. Samples were collected during the period December 1999 to September 2000.  Eiten (1972) described campo sujo as an open savanna with scattered trees and shrubs, cerrado sensu stricto as a savanna woodland with abundant evergreen and deciduous trees and shrubs and an herbaceous understory, and cerrado denso as medium to tall woodlands with closed or semiclosed canopies (Bustamante et al., 2004).There are two comma-delimited data files with this data set.
ABSTRACT: This data set provides (1) delta 15N ratios and nitrogen concentrations for foliar samples and (2) delta 13C and delta 15N ratios as well as carbon and nitrogen concentrations for soil samples collected from cerrado sites within the Ecological Reserve of the Brazilian Institute of Geography and Statistic (IBGE), Brasilia, Brazil. Foliar samples, collected from 320 individuals representing 45 woody tree and shrub species, and soil samples were collected from 5 cerrado locations (2 in campo sujo, 2 in cerrado denso and 1 in cerrado). Soil samples were collected to 450 cm depth in the campo sujo and 800 cm depth elsewhere. Samples were collected during the period December 1999 to September 2000.  Eiten (1972) described campo sujo as an open savanna with scattered trees and shrubs, cerrado sensu stricto as a savanna woodland with abundant evergreen and deciduous trees and shrubs and an herbaceous understory, and cerrado denso as medium to tall woodlands with closed or semiclosed canopies (Bustamante et al., 2004).There are two comma-delimited data files with this data set.
This data set reports on dissolved nutrient concentrations, as well as dissolved oxygen, alkalinity, conductivity, turbidity, and pH measured in water samples collected from nine streams located in the state of Brasilia, Brazil, between September, 2004 and December, 2006. Streams were located in different land cover types including natural (forest), rural (agricultural), and developed landscapes. In addition, water samples from wells, lysimeters, surface runoff, and precipitation were collected from four sites, 2 natural and 2 rural, and analyzed for nutrient concentrations. Streams were sampled every 2-4 weeks; rain water was collected approximately monthly during the wet season and once during a dry season; wells and lysimeters were sampled monthly; and surface runoff collections were event based. There are three comma-delimited data files with this data set.
This data set reports on dissolved nutrient concentrations, as well as dissolved oxygen, alkalinity, conductivity, turbidity, and pH measured in water samples collected from nine streams located in the state of Brasilia, Brazil, between September, 2004 and December, 2006. Streams were located in different land cover types including natural (forest), rural (agricultural), and developed landscapes. In addition, water samples from wells, lysimeters, surface runoff, and precipitation were collected from four sites, 2 natural and 2 rural, and analyzed for nutrient concentrations. Streams were sampled every 2-4 weeks; rain water was collected approximately monthly during the wet season and once during a dry season; wells and lysimeters were sampled monthly; and surface runoff collections were event based. There are three comma-delimited data files with this data set.
ABSTRACT: This data set reports on dissolved nutrient concentrations, as well as dissolved oxygen, alkalinity, conductivity, turbidity, and pH measured in water samples collected from nine streams located in the state of Brasilia, Brazil, between September, 2004 and December, 2006. Streams were located in different land cover types including natural (forest), rural (agricultural), and developed landscapes. In addition, water samples from wells, lysimeters, surface runoff, and precipitation were collected from four sites, 2 natural and 2 rural, and analyzed for nutrient concentrations. Streams were sampled every 2-4 weeks; rain water was collected approximately monthly during the wet season and once during a dry season; wells and lysimeters were sampled monthly; and surface runoff collections were event based. There are three comma-delimited data files with this data set.
This data set reports the microbial biomass in soil samples collected from the Cerrado, a woodlands-savannah area, in Brasilia, Brazil. Microbial biomass was determined as the total concentration of phospholipid fatty acids (PLFAs). Soil samples (0-5 cm) were collected from June, 2000 to June, 2001 in two native areas of Cerrado that were subjected to a range of fire regimes. Two plots were protected from fire since 1973, another two plots were subjected to prescribed fires every two years since 1992, and a fifth plot was in a 20 year-old active pasture (Brachiaria brizantha). The analyses were conducted to determine the effects of fire regimes and changes in vegetation cover on the microbial communities of Cerrada soils. There is one comma-separated ASCII data file with this data set.
This data set reports the microbial biomass in soil samples collected from the Cerrado, a woodlands-savannah area, in Brasilia, Brazil. Microbial biomass was determined as the total concentration of phospholipid fatty acids (PLFAs). Soil samples (0-5 cm) were collected from June, 2000 to June, 2001 in two native areas of Cerrado that were subjected to a range of fire regimes. Two plots were protected from fire since 1973, another two plots were subjected to prescribed fires every two years since 1992, and a fifth plot was in a 20 year-old active pasture (Brachiaria brizantha). The analyses were conducted to determine the effects of fire regimes and changes in vegetation cover on the microbial communities of Cerrada soils. There is one comma-separated ASCII data file with this data set.
ABSTRACT: This data set reports the microbial biomass in soil samples collected from the Cerrado, a woodlands-savannah area, in Brasilia, Brazil. Microbial biomass was determined as the total concentration of phospholipid fatty acids (PLFAs). Soil samples (0-5 cm) were collected from June, 2000 to June, 2001 in two native areas of Cerrado that were subjected to a range of fire regimes. Two plots were protected from fire since 1973, another two plots were subjected to prescribed fires every two years since 1992, and a fifth plot was in a 20 year-old active pasture (Brachiaria brizantha). The analyses were conducted to determine the effects of fire regimes and changes in vegetation cover on the microbial communities of Cerrada soils. There is one comma-separated ASCII data file with this data set.
This data set reports the results of soil nitric oxide (NO) flux, soil moisture, and soil nitrate (NO3) and ammonium (NH4) concentration measurements on Cerrado soils receiving nitrogen fertilization. Measurements and samples were collected from control and fertillized experimental plots on Cerrado soils within the Ecological Reserve of the Brazilian Institute of Geography and Statistic (IBGE), Brasilia, Brazil. Sampling dates were from March 26, 2004 to November 25, 2004. The soils had received nitrogen and phosphorus fertilization treatments which began in 1998. The objective of this project was to determine the long-term effects of nutrient addition (N and N+P) in native Cerrado area on N oxide fluxes from soil to the atmosphere. There is one comma delimited (.csv) ASCII file with this data set.
This data set reports the results of soil nitric oxide (NO) flux, soil moisture, and soil nitrate (NO3) and ammonium (NH4) concentration measurements on Cerrado soils receiving nitrogen fertilization. Measurements and samples were collected from control and fertillized experimental plots on Cerrado soils within the Ecological Reserve of the Brazilian Institute of Geography and Statistic (IBGE), Brasilia, Brazil. Sampling dates were from March 26, 2004 to November 25, 2004. The soils had received nitrogen and phosphorus fertilization treatments which began in 1998. The objective of this project was to determine the long-term effects of nutrient addition (N and N+P) in native Cerrado area on N oxide fluxes from soil to the atmosphere. There is one comma delimited (.csv) ASCII file with this data set.
ABSTRACT: This data set reports the results of soil nitric oxide (NO) flux, soil moisture, and soil nitrate (NO3) and ammonium (NH4) concentration measurements on Cerrado soils receiving nitrogen fertilization. Measurements and samples were collected from control and fertillized experimental plots on Cerrado soils within the Ecological Reserve of the Brazilian Institute of Geography and Statistic (IBGE), Brasilia, Brazil. Sampling dates were from March 26, 2004 to November 25, 2004. The soils had received nitrogen and phosphorus fertilization treatments which began in 1998. The objective of this project was to determine the long-term effects of nutrient addition (N and N+P) in native Cerrado area on N oxide fluxes from soil to the atmosphere. There is one comma delimited (.csv) ASCII file with this data set.
This data set reports on soil-atmosphere fluxes of trace carbon dioxide, carbon monoxide, nitrous oxide, and nitric oxide (CO2, CO, N2O, NO) under various natural and manipulated land use conditions. The studies were conducted near Brasilia, Brazil in pastures and agricultural areas under a variety of management regimes and in more natural areas of cerrado (20-50% canopy cover) and campo sujo (open, grass-dominated), which were either burned every 2 years or protected from fire. Results provide data and relationships needed for regional trace gas models. There are nine comma-separated ASCII data files with this data set.
This data set reports on soil-atmosphere fluxes of trace carbon dioxide, carbon monoxide, nitrous oxide, and nitric oxide (CO2, CO, N2O, NO) under various natural and manipulated land use conditions. The studies were conducted near Brasilia, Brazil in pastures and agricultural areas under a variety of management regimes and in more natural areas of cerrado (20-50% canopy cover) and campo sujo (open, grass-dominated), which were either burned every 2 years or protected from fire. Results provide data and relationships needed for regional trace gas models. There are nine comma-separated ASCII data files with this data set.
ABSTRACT: This data set reports on soil-atmosphere fluxes of trace carbon dioxide, carbon monoxide, nitrous oxide, and nitric oxide (CO2, CO, N2O, NO) under various natural and manipulated land use conditions. The studies were conducted near Brasilia, Brazil in pastures and agricultural areas under a variety of management regimes and in more natural areas of cerrado (20-50% canopy cover) and campo sujo (open, grass-dominated), which were either burned every 2 years or protected from fire. Results provide data and relationships needed for regional trace gas models. There are nine comma-separated ASCII data files with this data set.
This data set reports the concentrations of the nutrients nitrogen (N), phosphorus (P), magnesium (Mg), calcium (Ca), and potassium (K) in roots, litterfall, leaves, and twigs, biomass of fine roots and litterfall, and the decomposition of leaves and twigs in samples that were collected on the property of Jari Celulose, Monte Dourado, Para, Brazil, from 1999-2001.Samples were collected from two study sites, a eucalyptus plantation and an adjacent primary forest, during both rainy and dry seasons. Roots were sampled from three depths (0-15 cm, 35-50 cm, and 85-100 cm).There are five comma-delimited data files with this data set.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products.KNOWN PROBLEMS: The data files do not identify the year in which samples were collected. The methods for nutrient, decomposition, and biomass sampling and analyses were not provided. The data file descriptions indicate that samples were collected from two soil types (sandy and clay) but there is no documentation of which data field provides that information. Also, there is no documentation for the Location or Block fields in the data files.
This data set reports the concentrations of the nutrients nitrogen (N), phosphorus (P), magnesium (Mg), calcium (Ca), and potassium (K) in roots, litterfall, leaves, and twigs, biomass of fine roots and litterfall, and the decomposition of leaves and twigs in samples that were collected on the property of Jari Celulose, Monte Dourado, Para, Brazil, from 1999-2001.Samples were collected from two study sites, a eucalyptus plantation and an adjacent primary forest, during both rainy and dry seasons. Roots were sampled from three depths (0-15 cm, 35-50 cm, and 85-100 cm).There are five comma-delimited data files with this data set.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products.KNOWN PROBLEMS: The data files do not identify the year in which samples were collected. The methods for nutrient, decomposition, and biomass sampling and analyses were not provided. The data file descriptions indicate that samples were collected from two soil types (sandy and clay) but there is no documentation of which data field provides that information. Also, there is no documentation for the Location or Block fields in the data files.
ABSTRACT: This data set reports the concentrations of the nutrients nitrogen (N), phosphorus (P), magnesium (Mg), calcium (Ca), and potassium (K) in roots, litterfall, leaves, and twigs, biomass of fine roots and litterfall, and the decomposition of leaves and twigs in samples that were collected on the property of Jari Celulose, Monte Dourado, Para, Brazil, from 1999-2001.Samples were collected from two study sites, a eucalyptus plantation and an adjacent primary forest, during both rainy and dry seasons. Roots were sampled from three depths (0-15 cm, 35-50 cm, and 85-100 cm).There are five comma-delimited data files with this data set.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products.KNOWN PROBLEMS: The data files do not identify the year in which samples were collected. The methods for nutrient, decomposition, and biomass sampling and analyses were not provided. The data file descriptions indicate that samples were collected from two soil types (sandy and clay) but there is no documentation of which data field provides that information. Also, there is no documentation for the Location or Block fields in the data files.
This data set provides the results of soil physical property and chemical measurements of samples collected from two pasture chronosequences (years since conversion from primary forest) located on two ranches south of Santarem, Para, Brazil, and east of the Tapajos River. Soil data includes soil classification, bulk density, texture, and mean concentrations of total nitrogen (N), carbon (C), phosphorus (P), and P fractions. The soils were high clay oxisols and highly sandy entisols.One chronosequence of sites was established on oxisol soils dating 2, 7, and 15 years since conversion from primary forest. A second set of sites, 1, 7, and 15 years old was established on the sandy entisols. Five of the six pasture sites were on a single ranch; the 2-year-old oxisol pasture was the exception. Ten soil samples per site were collected from 0-10 cm depth along random intervals within 100-m transects in August 1997.There are two comma-delimited (.csv) data files with this data set.
This data set provides the results of soil physical property and chemical measurements of samples collected from two pasture chronosequences (years since conversion from primary forest) located on two ranches south of Santarem, Para, Brazil, and east of the Tapajos River. Soil data includes soil classification, bulk density, texture, and mean concentrations of total nitrogen (N), carbon (C), phosphorus (P), and P fractions. The soils were high clay oxisols and highly sandy entisols.One chronosequence of sites was established on oxisol soils dating 2, 7, and 15 years since conversion from primary forest. A second set of sites, 1, 7, and 15 years old was established on the sandy entisols. Five of the six pasture sites were on a single ranch; the 2-year-old oxisol pasture was the exception. Ten soil samples per site were collected from 0-10 cm depth along random intervals within 100-m transects in August 1997.There are two comma-delimited (.csv) data files with this data set.
ABSTRACT: This data set provides the results of soil physical property and chemical measurements of samples collected from two pasture chronosequences (years since conversion from primary forest) located on two ranches south of Santarem, Para, Brazil, and east of the Tapajos River. Soil data includes soil classification, bulk density, texture, and mean concentrations of total nitrogen (N), carbon (C), phosphorus (P), and P fractions. The soils were high clay oxisols and highly sandy entisols.One chronosequence of sites was established on oxisol soils dating 2, 7, and 15 years since conversion from primary forest. A second set of sites, 1, 7, and 15 years old was established on the sandy entisols. Five of the six pasture sites were on a single ranch; the 2-year-old oxisol pasture was the exception. Ten soil samples per site were collected from 0-10 cm depth along random intervals within 100-m transects in August 1997.There are two comma-delimited (.csv) data files with this data set.
This data set reports the results of a vegetation survey along transects across the transition zones between the three major forest types in the seasonally dry forest of the southwestern Amazon Basin in the municipality of Juruena, Mato Grosso in 2004. The major forest types are differentiated by tree species composition, biomass, soil type, and landscape position: (1) campinarana; high stem density and low biomass on sandstone outcrops, (2) palm forest; low-lying seasonally inundated areas dominated by palms and, (3) terra firme; low stem density and high biomass. Along these 10 x 100 m transects, all trees, palms, and lianas >= 10 cm DBH in 10 x 10 m plots and, in nested 2 x 10 m subplots, all trees, palms and lianas >=1 cm DBH were measured, identified and georeferenced. Plot locations and survey data are reported in two comma separated files.
This data set reports the results of a vegetation survey along transects across the transition zones between the three major forest types in the seasonally dry forest of the southwestern Amazon Basin in the municipality of Juruena, Mato Grosso in 2004. The major forest types are differentiated by tree species composition, biomass, soil type, and landscape position: (1) campinarana; high stem density and low biomass on sandstone outcrops, (2) palm forest; low-lying seasonally inundated areas dominated by palms and, (3) terra firme; low stem density and high biomass. Along these 10 x 100 m transects, all trees, palms, and lianas >= 10 cm DBH in 10 x 10 m plots and, in nested 2 x 10 m subplots, all trees, palms and lianas >=1 cm DBH were measured, identified and georeferenced. Plot locations and survey data are reported in two comma separated files.
ABSTRACT: This data set reports the results of a vegetation survey along transects across the transition zones between the three major forest types in the seasonally dry forest of the southwestern Amazon Basin in the municipality of Juruena, Mato Grosso in 2004. The major forest types are differentiated by tree species composition, biomass, soil type, and landscape position: (1) campinarana; high stem density and low biomass on sandstone outcrops, (2) palm forest; low-lying seasonally inundated areas dominated by palms and, (3) terra firme; low stem density and high biomass. Along these 10 x 100 m transects, all trees, palms, and lianas >= 10 cm DBH in 10 x 10 m plots and, in nested 2 x 10 m subplots, all trees, palms and lianas >=1 cm DBH were measured, identified and georeferenced. Plot locations and survey data are reported in two comma separated files.
Data were collected in the logging concession at the Fazenda Rohsamar in the municipality of Juruena in northwestern Mato Grosso.  Estimates of damage associated with logging operations were made after logging operations were complete in 2003 and 2004. Damage associated with gaps created by felling single trees was estimated in 54 individual gaps. Characteristics of the single harvested tree were recorded and included species, DBH, commercial height, total height, and canopy proportions.  Damage to all surrounding trees was recorded. Stratified transects in two logging blocks were used to estimate damage associated with road building and skid trails. Twenty-six transects were established in Block 5 and 21 transects in Block 18 to assess the frequency of damage by log skidders and tree felling. The boundaries between different types of damage were noted along the transect  and the length in meters of that damage type along the transect was recorded. From this information, the area of the logging block affected by road building and skid trails was determined.The Gap Survey and the Logging Damage Transects Survey data are provided in comma-separated ASCII files. A third file provides the coordinates of the starting points for the Survey Transects.
Data were collected in the logging concession at the Fazenda Rohsamar in the municipality of Juruena in northwestern Mato Grosso.  Estimates of damage associated with logging operations were made after logging operations were complete in 2003 and 2004. Damage associated with gaps created by felling single trees was estimated in 54 individual gaps. Characteristics of the single harvested tree were recorded and included species, DBH, commercial height, total height, and canopy proportions.  Damage to all surrounding trees was recorded. Stratified transects in two logging blocks were used to estimate damage associated with road building and skid trails. Twenty-six transects were established in Block 5 and 21 transects in Block 18 to assess the frequency of damage by log skidders and tree felling. The boundaries between different types of damage were noted along the transect  and the length in meters of that damage type along the transect was recorded. From this information, the area of the logging block affected by road building and skid trails was determined.The Gap Survey and the Logging Damage Transects Survey data are provided in comma-separated ASCII files. A third file provides the coordinates of the starting points for the Survey Transects.
ABSTRACT: Data were collected in the logging concession at the Fazenda Rohsamar in the municipality of Juruena in northwestern Mato Grosso.  Estimates of damage associated with logging operations were made after logging operations were complete in 2003 and 2004. Damage associated with gaps created by felling single trees was estimated in 54 individual gaps. Characteristics of the single harvested tree were recorded and included species, DBH, commercial height, total height, and canopy proportions.  Damage to all surrounding trees was recorded. Stratified transects in two logging blocks were used to estimate damage associated with road building and skid trails. Twenty-six transects were established in Block 5 and 21 transects in Block 18 to assess the frequency of damage by log skidders and tree felling. The boundaries between different types of damage were noted along the transect  and the length in meters of that damage type along the transect was recorded. From this information, the area of the logging block affected by road building and skid trails was determined.The Gap Survey and the Logging Damage Transects Survey data are provided in comma-separated ASCII files. A third file provides the coordinates of the starting points for the Survey Transects.
This data set reports the results of the analysis of soil samples for Nitrate (NO3) and physical properties that were collected for one year following reduced impact logging in logging concessions at the Fazenda Rohsamar in the municipality of Juruena in northwestern Mato Grosso. Sample locations were randomly selected from stratified regions of the 1,400 ha Block 5 to account for local scale soil variability. Soil samples were collected to 8-m depth in (1) nine gaps formed by single tree removal and (2) nine areas of undisturbed primary forest. Areas of undisturbed forest were confined to patches of forest within Block 5 that were protected from logging.  An additional 3 forested areas were sampled to 3-m depth that contained high sand content. These results quantified the effects of reduced impact logging, to test whether nitrogen (N) loss from leaves and coarse woody debris under reduced impact logging results in a significant accumulation of subsoil nitrate (Feldpausch et al., 2009). One comma separated data file contains the soil moisture results and a second file the soil NO3 content and soil physical properties.
This data set reports the results of the analysis of soil samples for Nitrate (NO3) and physical properties that were collected for one year following reduced impact logging in logging concessions at the Fazenda Rohsamar in the municipality of Juruena in northwestern Mato Grosso. Sample locations were randomly selected from stratified regions of the 1,400 ha Block 5 to account for local scale soil variability. Soil samples were collected to 8-m depth in (1) nine gaps formed by single tree removal and (2) nine areas of undisturbed primary forest. Areas of undisturbed forest were confined to patches of forest within Block 5 that were protected from logging.  An additional 3 forested areas were sampled to 3-m depth that contained high sand content. These results quantified the effects of reduced impact logging, to test whether nitrogen (N) loss from leaves and coarse woody debris under reduced impact logging results in a significant accumulation of subsoil nitrate (Feldpausch et al., 2009). One comma separated data file contains the soil moisture results and a second file the soil NO3 content and soil physical properties.
ABSTRACT: This data set reports the results of the analysis of soil samples for Nitrate (NO3) and physical properties that were collected for one year following reduced impact logging in logging concessions at the Fazenda Rohsamar in the municipality of Juruena in northwestern Mato Grosso. Sample locations were randomly selected from stratified regions of the 1,400 ha Block 5 to account for local scale soil variability. Soil samples were collected to 8-m depth in (1) nine gaps formed by single tree removal and (2) nine areas of undisturbed primary forest. Areas of undisturbed forest were confined to patches of forest within Block 5 that were protected from logging.  An additional 3 forested areas were sampled to 3-m depth that contained high sand content. These results quantified the effects of reduced impact logging, to test whether nitrogen (N) loss from leaves and coarse woody debris under reduced impact logging results in a significant accumulation of subsoil nitrate (Feldpausch et al., 2009). One comma separated data file contains the soil moisture results and a second file the soil NO3 content and soil physical properties.
This data set contains the results of an experiment to determine litter decomposition and dynamics of carbon and nitrogen release from plant litter of differing qualities which occur in combination in agroforestry systems. Reported in five ASCII files are (1) the initial values of soil and plant litter macronutrients, nitrogen; and carbon contents; (2) descriptions of the various experimental treatments; and (3) the final nitrogen and carbon composition of the plant litter and soil and calculated releases from the litter.The study was conducted at the Empresa Brasileira de Pesquisa Agropecuaria-Centro da Pesquisa Agroflorestal (EMBRAPA-CPAA) experimental station located north of Manaus on the BR 174 highway in the central Amazon Basin. The experimental plot, located in an open grassy field, was selected based on low, homogeneous soil C and nutrient contents, minimal prior disturbance, and no previous fertilizer application. The soil was a degraded typic Hapludox with the following soil properties for the upper 0-3 cm: pH in water of 5.05, 1.3 mg N/g, 18.0 mg C/g (automatic CN Analyzer, Elementar), 2.05 mg P/kg, 55.0 mg K/kg (Mehlich-1 extractable), 11.7 mg Ca/kg, and 4.6 mg Mg/kg (KCl extractable). The experiment was conducted in the field in small plots with treatments that vary in the ratio of plant litter of two plants: gliricidia (Gliricidia sepium (Jacq.) Kunth. ex Walp.) and cupuacu (Theobroma grandiflorum). Soil and litter samples were collected prior to and during the experiment. Resin bags were used to retain mineral nitrogen released from the plant litter.
This data set contains the results of an experiment to determine litter decomposition and dynamics of carbon and nitrogen release from plant litter of differing qualities which occur in combination in agroforestry systems. Reported in five ASCII files are (1) the initial values of soil and plant litter macronutrients, nitrogen; and carbon contents; (2) descriptions of the various experimental treatments; and (3) the final nitrogen and carbon composition of the plant litter and soil and calculated releases from the litter.The study was conducted at the Empresa Brasileira de Pesquisa Agropecuaria-Centro da Pesquisa Agroflorestal (EMBRAPA-CPAA) experimental station located north of Manaus on the BR 174 highway in the central Amazon Basin. The experimental plot, located in an open grassy field, was selected based on low, homogeneous soil C and nutrient contents, minimal prior disturbance, and no previous fertilizer application. The soil was a degraded typic Hapludox with the following soil properties for the upper 0-3 cm: pH in water of 5.05, 1.3 mg N/g, 18.0 mg C/g (automatic CN Analyzer, Elementar), 2.05 mg P/kg, 55.0 mg K/kg (Mehlich-1 extractable), 11.7 mg Ca/kg, and 4.6 mg Mg/kg (KCl extractable). The experiment was conducted in the field in small plots with treatments that vary in the ratio of plant litter of two plants: gliricidia (Gliricidia sepium (Jacq.) Kunth. ex Walp.) and cupuacu (Theobroma grandiflorum). Soil and litter samples were collected prior to and during the experiment. Resin bags were used to retain mineral nitrogen released from the plant litter.
ABSTRACT: This data set contains the results of an experiment to determine litter decomposition and dynamics of carbon and nitrogen release from plant litter of differing qualities which occur in combination in agroforestry systems. Reported in five ASCII files are (1) the initial values of soil and plant litter macronutrients, nitrogen; and carbon contents; (2) descriptions of the various experimental treatments; and (3) the final nitrogen and carbon composition of the plant litter and soil and calculated releases from the litter.The study was conducted at the Empresa Brasileira de Pesquisa Agropecuaria-Centro da Pesquisa Agroflorestal (EMBRAPA-CPAA) experimental station located north of Manaus on the BR 174 highway in the central Amazon Basin. The experimental plot, located in an open grassy field, was selected based on low, homogeneous soil C and nutrient contents, minimal prior disturbance, and no previous fertilizer application. The soil was a degraded typic Hapludox with the following soil properties for the upper 0-3 cm: pH in water of 5.05, 1.3 mg N/g, 18.0 mg C/g (automatic CN Analyzer, Elementar), 2.05 mg P/kg, 55.0 mg K/kg (Mehlich-1 extractable), 11.7 mg Ca/kg, and 4.6 mg Mg/kg (KCl extractable). The experiment was conducted in the field in small plots with treatments that vary in the ratio of plant litter of two plants: gliricidia (Gliricidia sepium (Jacq.) Kunth. ex Walp.) and cupuacu (Theobroma grandiflorum). Soil and litter samples were collected prior to and during the experiment. Resin bags were used to retain mineral nitrogen released from the plant litter.
This data set contains stream water exports of coarse particulate organic matter (CPOM) and coarse particulate organic carbon (CPOC) during 2003-2004 from four forested headwater streams near Juruena, Mato Grosso, Brazil (Selva et al. (2007) and Johnson et al. (2006) . Data are reported in a single comma-separated ASCII  file as watershed exports in mass units, carbon content, and watershed exports per watershed area over the reported sampling intervals.Resolving the carbon balance in the Amazonian forest depends on an improved quantification of production and losses of particulate C from forested landscapes via stream export. The export of coarse organic particulate matter (>2 mm) was quantified for one year in four small watersheds (1-2 ha) under native forest in southern Amazonia near Juruena, Mato Grosso, Brazil. Stream-water exports of particulate C were positively correlated with stream flow, increasing in the rainiest months. The export of particulate C in stream flow was found to be a small (less than 1%) percentage of the amount of litterfall produced.
This data set contains stream water exports of coarse particulate organic matter (CPOM) and coarse particulate organic carbon (CPOC) during 2003-2004 from four forested headwater streams near Juruena, Mato Grosso, Brazil (Selva et al. (2007) and Johnson et al. (2006) . Data are reported in a single comma-separated ASCII  file as watershed exports in mass units, carbon content, and watershed exports per watershed area over the reported sampling intervals.Resolving the carbon balance in the Amazonian forest depends on an improved quantification of production and losses of particulate C from forested landscapes via stream export. The export of coarse organic particulate matter (>2 mm) was quantified for one year in four small watersheds (1-2 ha) under native forest in southern Amazonia near Juruena, Mato Grosso, Brazil. Stream-water exports of particulate C were positively correlated with stream flow, increasing in the rainiest months. The export of particulate C in stream flow was found to be a small (less than 1%) percentage of the amount of litterfall produced.
ABSTRACT: This data set contains stream water exports of coarse particulate organic matter (CPOM) and coarse particulate organic carbon (CPOC) during 2003-2004 from four forested headwater streams near Juruena, Mato Grosso, Brazil (Selva et al. (2007) and Johnson et al. (2006) . Data are reported in a single comma-separated ASCII  file as watershed exports in mass units, carbon content, and watershed exports per watershed area over the reported sampling intervals.Resolving the carbon balance in the Amazonian forest depends on an improved quantification of production and losses of particulate C from forested landscapes via stream export. The export of coarse organic particulate matter (>2 mm) was quantified for one year in four small watersheds (1-2 ha) under native forest in southern Amazonia near Juruena, Mato Grosso, Brazil. Stream-water exports of particulate C were positively correlated with stream flow, increasing in the rainiest months. The export of particulate C in stream flow was found to be a small (less than 1%) percentage of the amount of litterfall produced.
This data set reports the results of field surveys to determine: regeneration diversity and size distribution of plants in primary undisturbed forest; and  regeneration diversity and size distribution of trees in a one hundred hectare block, six years after reduced impact logging treatment (vine removal) was applied in 1998.  In addition, wood density and carbon concentrations in commercially harvested species are reported.  All surveys were performed in 2003 and 2004 within block 5 of the logging concession at the Fazenda Rohsamar in the municipality of Jurena in northwestern Mato Grosso, Brazil. The data are reported in three comma separated files.
This data set reports the results of field surveys to determine: regeneration diversity and size distribution of plants in primary undisturbed forest; and  regeneration diversity and size distribution of trees in a one hundred hectare block, six years after reduced impact logging treatment (vine removal) was applied in 1998.  In addition, wood density and carbon concentrations in commercially harvested species are reported.  All surveys were performed in 2003 and 2004 within block 5 of the logging concession at the Fazenda Rohsamar in the municipality of Jurena in northwestern Mato Grosso, Brazil. The data are reported in three comma separated files.
ABSTRACT: This data set reports the results of field surveys to determine: regeneration diversity and size distribution of plants in primary undisturbed forest; and  regeneration diversity and size distribution of trees in a one hundred hectare block, six years after reduced impact logging treatment (vine removal) was applied in 1998.  In addition, wood density and carbon concentrations in commercially harvested species are reported.  All surveys were performed in 2003 and 2004 within block 5 of the logging concession at the Fazenda Rohsamar in the municipality of Jurena in northwestern Mato Grosso, Brazil. The data are reported in three comma separated files.
The results of the analysis of soil chemical parameters, texture, and color are reported for 185 georeferenced soil profile sample points over four forested headwater catchments near Juruena, Mato Grosso, Brazil (Novaes Filho, et al., 2007a and Novaes Filho, et al., 2007b). Samples were collected from an approximately 20 x 20 m grid over each watershed from 2004/05/01 to 2004/08/18. By sampling each location at depths of 0-20 and 40-60 cm it was possible to distinguish and map the principle soil classes found in the study area to the 2nd category level of the Brazilian System of Soil Classification (Cooper et al., 2005) associated with the topographic relief. The data set contains one comma separated ASCII data file with spatially referenced soil nutrient and organic carbon data from 0-20 cm (A layer, topsoil) and 40-60 cm (B layer, subsoil)depths for the Juruena watersheds study area.A satisfactory relationship between the redness index of the diagnostic horizons and the soil class colors was also found. In spite of the apparent homogeneity of the visible landscape characteristics such as slope, soil color, and vegetation, the carbon and soil clay attributes were found to vary greatly. This variability over small distances demonstrates that extrapolation of soil characteristics and soil carbon stocks to larger areas could produce erroneous results if the spatial variability of the soil attributes is not taken into consideration.
The results of the analysis of soil chemical parameters, texture, and color are reported for 185 georeferenced soil profile sample points over four forested headwater catchments near Juruena, Mato Grosso, Brazil (Novaes Filho, et al., 2007a and Novaes Filho, et al., 2007b). Samples were collected from an approximately 20 x 20 m grid over each watershed from 2004/05/01 to 2004/08/18. By sampling each location at depths of 0-20 and 40-60 cm it was possible to distinguish and map the principle soil classes found in the study area to the 2nd category level of the Brazilian System of Soil Classification (Cooper et al., 2005) associated with the topographic relief. The data set contains one comma separated ASCII data file with spatially referenced soil nutrient and organic carbon data from 0-20 cm (A layer, topsoil) and 40-60 cm (B layer, subsoil)depths for the Juruena watersheds study area.A satisfactory relationship between the redness index of the diagnostic horizons and the soil class colors was also found. In spite of the apparent homogeneity of the visible landscape characteristics such as slope, soil color, and vegetation, the carbon and soil clay attributes were found to vary greatly. This variability over small distances demonstrates that extrapolation of soil characteristics and soil carbon stocks to larger areas could produce erroneous results if the spatial variability of the soil attributes is not taken into consideration.
ABSTRACT: The results of the analysis of soil chemical parameters, texture, and color are reported for 185 georeferenced soil profile sample points over four forested headwater catchments near Juruena, Mato Grosso, Brazil (Novaes Filho, et al., 2007a and Novaes Filho, et al., 2007b). Samples were collected from an approximately 20 x 20 m grid over each watershed from 2004/05/01 to 2004/08/18. By sampling each location at depths of 0-20 and 40-60 cm it was possible to distinguish and map the principle soil classes found in the study area to the 2nd category level of the Brazilian System of Soil Classification (Cooper et al., 2005) associated with the topographic relief. The data set contains one comma separated ASCII data file with spatially referenced soil nutrient and organic carbon data from 0-20 cm (A layer, topsoil) and 40-60 cm (B layer, subsoil)depths for the Juruena watersheds study area.A satisfactory relationship between the redness index of the diagnostic horizons and the soil class colors was also found. In spite of the apparent homogeneity of the visible landscape characteristics such as slope, soil color, and vegetation, the carbon and soil clay attributes were found to vary greatly. This variability over small distances demonstrates that extrapolation of soil characteristics and soil carbon stocks to larger areas could produce erroneous results if the spatial variability of the soil attributes is not taken into consideration.
This data set contains information that can be used to examine water fluxes in soils beneath tree crops in an Amazonian agroforest. The data consists of repeated measurements of soil matrix pressure and soil moisture content at several depths. The study was carried out at the Empresa Brasileira de Pesquisa Agropecuaria (Embrapa)-Amazonia Ocidental, 29 km North of Manaus, Brazil (3d 8m S, 59d 52m W, 40 - 50 m above sea level), in 1998 and 1999.Microaggregated tropical soils have shown high water conductivity even under unsaturated conditions in laboratory experiments. It is not clear, however, what depth the infiltrating soil water reaches during storm events under humid tropical conditions. Dynamics and fluxes of water were determined with high temporal resolution to a depth of 5 m in a Xanthic Hapludox of central Amazonia, Brazil. The soil water percolated to a depth of 0.9 m within 2 h of a rainfall event of 48 mm. Water fluxes were significantly slower below 0.9 m (17% of infiltration at 0 - 0.9 m) due to higher bulk densities. Percolation not only started rapidly after a rainfall event when soil water suction reached a certain threshold (ca. 20 - 30 hPa) but was also reduced to background levels less than 1 h after the rain had ended. The demonstrated extremely short-term dynamics of water fluxes have implications for measurement design of water availability and solute leaching in microaggregated tropical soil that require correct time integrals of solution concentrations and soil water dynamics. Measurement intervals of 30 min or less were necessary in our study. Rapid water flows may explain the observed high nutrient losses from the topsoil of microaggregated tropical soil and the large accumulation of nutrients in the deep soil (> 5 m).
This data set contains information that can be used to examine water fluxes in soils beneath tree crops in an Amazonian agroforest. The data consists of repeated measurements of soil matrix pressure and soil moisture content at several depths. The study was carried out at the Empresa Brasileira de Pesquisa Agropecuaria (Embrapa)-Amazonia Ocidental, 29 km North of Manaus, Brazil (3d 8m S, 59d 52m W, 40 - 50 m above sea level), in 1998 and 1999.Microaggregated tropical soils have shown high water conductivity even under unsaturated conditions in laboratory experiments. It is not clear, however, what depth the infiltrating soil water reaches during storm events under humid tropical conditions. Dynamics and fluxes of water were determined with high temporal resolution to a depth of 5 m in a Xanthic Hapludox of central Amazonia, Brazil. The soil water percolated to a depth of 0.9 m within 2 h of a rainfall event of 48 mm. Water fluxes were significantly slower below 0.9 m (17% of infiltration at 0 - 0.9 m) due to higher bulk densities. Percolation not only started rapidly after a rainfall event when soil water suction reached a certain threshold (ca. 20 - 30 hPa) but was also reduced to background levels less than 1 h after the rain had ended. The demonstrated extremely short-term dynamics of water fluxes have implications for measurement design of water availability and solute leaching in microaggregated tropical soil that require correct time integrals of solution concentrations and soil water dynamics. Measurement intervals of 30 min or less were necessary in our study. Rapid water flows may explain the observed high nutrient losses from the topsoil of microaggregated tropical soil and the large accumulation of nutrients in the deep soil (> 5 m).
ABSTRACT: This data set contains information that can be used to examine water fluxes in soils beneath tree crops in an Amazonian agroforest. The data consists of repeated measurements of soil matrix pressure and soil moisture content at several depths. The study was carried out at the Empresa Brasileira de Pesquisa Agropecuaria (Embrapa)-Amazonia Ocidental, 29 km North of Manaus, Brazil (3d 8m S, 59d 52m W, 40 - 50 m above sea level), in 1998 and 1999.Microaggregated tropical soils have shown high water conductivity even under unsaturated conditions in laboratory experiments. It is not clear, however, what depth the infiltrating soil water reaches during storm events under humid tropical conditions. Dynamics and fluxes of water were determined with high temporal resolution to a depth of 5 m in a Xanthic Hapludox of central Amazonia, Brazil. The soil water percolated to a depth of 0.9 m within 2 h of a rainfall event of 48 mm. Water fluxes were significantly slower below 0.9 m (17% of infiltration at 0 - 0.9 m) due to higher bulk densities. Percolation not only started rapidly after a rainfall event when soil water suction reached a certain threshold (ca. 20 - 30 hPa) but was also reduced to background levels less than 1 h after the rain had ended. The demonstrated extremely short-term dynamics of water fluxes have implications for measurement design of water availability and solute leaching in microaggregated tropical soil that require correct time integrals of solution concentrations and soil water dynamics. Measurement intervals of 30 min or less were necessary in our study. Rapid water flows may explain the observed high nutrient losses from the topsoil of microaggregated tropical soil and the large accumulation of nutrients in the deep soil (> 5 m).
This data set contains baseflow streamwater concentrations of pH, specific conductivity, base cations, carbon (dissolved organic carbon (DOC), particulate organic carbon (POC) and bicarbonate alkalinity) and silica for four headwater streams in the seasonally dry Amazon (Johnson et al. (2006a) and Johnson et al. (2006b). Data are provided in one comma-separated ASCII file.This hydrologic study of four headwater watersheds was conducted in an undisturbed forest near Juruena, Mato Grosso in the seasonally dry, southern Amazon. The small catchments range in size from 0.85 to 1.9 ha. Stream water samples were collected weekly during rainy seasons and biweekly during the dry seasons. Baseflow stream water concentrations of base cations, silica, electrical conductivity, DOC, and alkalinity varied inversely with discharge. While there was variation among the watersheds, the concentration-discharge patterns were consistent for each of the four watersheds. Baseflow discharge data are not included in this data set and will be archived separately.
This data set contains baseflow streamwater concentrations of pH, specific conductivity, base cations, carbon (dissolved organic carbon (DOC), particulate organic carbon (POC) and bicarbonate alkalinity) and silica for four headwater streams in the seasonally dry Amazon (Johnson et al. (2006a) and Johnson et al. (2006b). Data are provided in one comma-separated ASCII file.This hydrologic study of four headwater watersheds was conducted in an undisturbed forest near Juruena, Mato Grosso in the seasonally dry, southern Amazon. The small catchments range in size from 0.85 to 1.9 ha. Stream water samples were collected weekly during rainy seasons and biweekly during the dry seasons. Baseflow stream water concentrations of base cations, silica, electrical conductivity, DOC, and alkalinity varied inversely with discharge. While there was variation among the watersheds, the concentration-discharge patterns were consistent for each of the four watersheds. Baseflow discharge data are not included in this data set and will be archived separately.
ABSTRACT: This data set contains baseflow streamwater concentrations of pH, specific conductivity, base cations, carbon (dissolved organic carbon (DOC), particulate organic carbon (POC) and bicarbonate alkalinity) and silica for four headwater streams in the seasonally dry Amazon (Johnson et al. (2006a) and Johnson et al. (2006b). Data are provided in one comma-separated ASCII file.This hydrologic study of four headwater watersheds was conducted in an undisturbed forest near Juruena, Mato Grosso in the seasonally dry, southern Amazon. The small catchments range in size from 0.85 to 1.9 ha. Stream water samples were collected weekly during rainy seasons and biweekly during the dry seasons. Baseflow stream water concentrations of base cations, silica, electrical conductivity, DOC, and alkalinity varied inversely with discharge. While there was variation among the watersheds, the concentration-discharge patterns were consistent for each of the four watersheds. Baseflow discharge data are not included in this data set and will be archived separately.
This data set contains images of fractional cover estimates of photosynthetic vegetation (PV) canopy, nonphotosynthetic vegetation (NPV), and exposed soils (S) derived from Landsat images (30-m resolution) obtained for two ranches in the Brazilian Amazon from 1996 to 2002. The Fazenda Vitoria ranch is located in eastern Para near the city of Paragominas and is a mosaic of primary forest, logged forest, secondary forest, and pasture with moderately dissected topography. The Fazenda Nova Vida ranch is located in the state of Rondonia in western Amazonia and is a mosaic of primary forest, logged forest, and pastures. For Fazenda Vitoria, two dry-season Landsat images were obtained, subset, and analyzed. For Nova Vida three dry-season images and one end-of-wet-season image were obtained, subset, and analyzed. Spectral mixture analysis, which decomposes individual satellite pixels into constituent cover fractions of surface materials, was used with a general probabilistic modeling approach to derive subpixel cover fractions of PV, NPV, and S. There are six GeoTIFF (.tif) files with this data set.
This data set contains images of fractional cover estimates of photosynthetic vegetation (PV) canopy, nonphotosynthetic vegetation (NPV), and exposed soils (S) derived from Landsat images (30-m resolution) obtained for two ranches in the Brazilian Amazon from 1996 to 2002. The Fazenda Vitoria ranch is located in eastern Para near the city of Paragominas and is a mosaic of primary forest, logged forest, secondary forest, and pasture with moderately dissected topography. The Fazenda Nova Vida ranch is located in the state of Rondonia in western Amazonia and is a mosaic of primary forest, logged forest, and pastures. For Fazenda Vitoria, two dry-season Landsat images were obtained, subset, and analyzed. For Nova Vida three dry-season images and one end-of-wet-season image were obtained, subset, and analyzed. Spectral mixture analysis, which decomposes individual satellite pixels into constituent cover fractions of surface materials, was used with a general probabilistic modeling approach to derive subpixel cover fractions of PV, NPV, and S. There are six GeoTIFF (.tif) files with this data set.
ABSTRACT: This data set contains images of fractional cover estimates of photosynthetic vegetation (PV) canopy, nonphotosynthetic vegetation (NPV), and exposed soils (S) derived from Landsat images (30-m resolution) obtained for two ranches in the Brazilian Amazon from 1996 to 2002. The Fazenda Vitoria ranch is located in eastern Para near the city of Paragominas and is a mosaic of primary forest, logged forest, secondary forest, and pasture with moderately dissected topography. The Fazenda Nova Vida ranch is located in the state of Rondonia in western Amazonia and is a mosaic of primary forest, logged forest, and pastures. For Fazenda Vitoria, two dry-season Landsat images were obtained, subset, and analyzed. For Nova Vida three dry-season images and one end-of-wet-season image were obtained, subset, and analyzed. Spectral mixture analysis, which decomposes individual satellite pixels into constituent cover fractions of surface materials, was used with a general probabilistic modeling approach to derive subpixel cover fractions of PV, NPV, and S. There are six GeoTIFF (.tif) files with this data set.
This data set provides fine litterfall mass and nutrient concentrations from samples collected at chronosequences established at Sao Francisco do Para and Capitao Poco, Para, Brazil. Nitrogen (N) and phosphorus (P) concentrations were determined for litterfall samples from the Sao Francisco do Para, and N, P, potassium (K), calcium (Ca), and magnesium (Mg) concentrations are reported for samples from the Capitao Poco. In addition, carbon (C), N, delta C13, and delta N15 values were determined for leaves from the dominant species of the forests at Sao Francisco do Para; soil physical and chemical characteristics were determined for a subset of the chronosequence plots at the two study sites; and soil trace gas fluxes were determined from the Sao Francisco do Para site. All samples were collected between March 2001-February 2005. Trace gas fluxes were measured 10 times between October 2000 and June 2002 with 5 sample periods in dry season and 5 in wet season months. There are five comma-delimited data files with this data set.
This data set provides fine litterfall mass and nutrient concentrations from samples collected at chronosequences established at Sao Francisco do Para and Capitao Poco, Para, Brazil. Nitrogen (N) and phosphorus (P) concentrations were determined for litterfall samples from the Sao Francisco do Para, and N, P, potassium (K), calcium (Ca), and magnesium (Mg) concentrations are reported for samples from the Capitao Poco. In addition, carbon (C), N, delta C13, and delta N15 values were determined for leaves from the dominant species of the forests at Sao Francisco do Para; soil physical and chemical characteristics were determined for a subset of the chronosequence plots at the two study sites; and soil trace gas fluxes were determined from the Sao Francisco do Para site. All samples were collected between March 2001-February 2005. Trace gas fluxes were measured 10 times between October 2000 and June 2002 with 5 sample periods in dry season and 5 in wet season months. There are five comma-delimited data files with this data set.
ABSTRACT: This data set provides fine litterfall mass and nutrient concentrations from samples collected at chronosequences established at Sao Francisco do Para and Capitao Poco, Para, Brazil. Nitrogen (N) and phosphorus (P) concentrations were determined for litterfall samples from the Sao Francisco do Para, and N, P, potassium (K), calcium (Ca), and magnesium (Mg) concentrations are reported for samples from the Capitao Poco. In addition, carbon (C), N, delta C13, and delta N15 values were determined for leaves from the dominant species of the forests at Sao Francisco do Para; soil physical and chemical characteristics were determined for a subset of the chronosequence plots at the two study sites; and soil trace gas fluxes were determined from the Sao Francisco do Para site. All samples were collected between March 2001-February 2005. Trace gas fluxes were measured 10 times between October 2000 and June 2002 with 5 sample periods in dry season and 5 in wet season months. There are five comma-delimited data files with this data set.
This data set reports the results of chemical analyses of rainfall, throughfall, litter leachate, and soil water samples collected before, during, and after a rainfall exclusion experiment conducted at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. Samples were collected every two weeks from May 17, 1999 through May 10, 2006. Measurements included alkalinity, conductivity, pH, and selected anions and cations analyzed by ion chromatography.The exclusion treatment, began in late January 2000 and continued through December 2004, involved diverting about 60% of throughfall (equivalent to approximately half the rainfall) from a 1-hectare plot using plastic panels installed in the understory. The comparable 1-hectare control plot was unaltered. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad et al., 2002 and Nepstad et al., 2007). There are five comma-delimited data files with this data set.
This data set reports the results of chemical analyses of rainfall, throughfall, litter leachate, and soil water samples collected before, during, and after a rainfall exclusion experiment conducted at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. Samples were collected every two weeks from May 17, 1999 through May 10, 2006. Measurements included alkalinity, conductivity, pH, and selected anions and cations analyzed by ion chromatography.The exclusion treatment, began in late January 2000 and continued through December 2004, involved diverting about 60% of throughfall (equivalent to approximately half the rainfall) from a 1-hectare plot using plastic panels installed in the understory. The comparable 1-hectare control plot was unaltered. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad et al., 2002 and Nepstad et al., 2007). There are five comma-delimited data files with this data set.
ABSTRACT: This data set reports the results of chemical analyses of rainfall, throughfall, litter leachate, and soil water samples collected before, during, and after a rainfall exclusion experiment conducted at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. Samples were collected every two weeks from May 17, 1999 through May 10, 2006. Measurements included alkalinity, conductivity, pH, and selected anions and cations analyzed by ion chromatography.The exclusion treatment, began in late January 2000 and continued through December 2004, involved diverting about 60% of throughfall (equivalent to approximately half the rainfall) from a 1-hectare plot using plastic panels installed in the understory. The comparable 1-hectare control plot was unaltered. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad et al., 2002 and Nepstad et al., 2007). There are five comma-delimited data files with this data set.
This data set reports concentrations of biogenic volatile organic compounds (BVOCs) collected from tethered balloon-sampling platforms above selected forest and pasture sites in the Brazilian Amazon in March 1998, February 1999, and February 2000. The air samples were collected from forested sites in Brazil: the Tapajos forest (Para) in the Tapajos/Xingu moist forest; Balbina (Amazonas) in the Uatuma moist forest; and Jaru (Rondonia) in the Purus/Madeira moist forest. Two other sites were also located in Rondonia: at a forest reserve (Rebio Jaru) and a pasture (Fazenda Nossa Senhora Aparecida). The BVOCs measured included isoprene, alpha and beta pinene, camphene, sabinene, myrcene, limonene, and other monoterpenes. Approximately 24 to 40 soundings, including as many as four VOC samples collected simultaneously at various altitudes, were made at each site. There is one comma-delimited data file with this data set.
This data set reports concentrations of biogenic volatile organic compounds (BVOCs) collected from tethered balloon-sampling platforms above selected forest and pasture sites in the Brazilian Amazon in March 1998, February 1999, and February 2000. The air samples were collected from forested sites in Brazil: the Tapajos forest (Para) in the Tapajos/Xingu moist forest; Balbina (Amazonas) in the Uatuma moist forest; and Jaru (Rondonia) in the Purus/Madeira moist forest. Two other sites were also located in Rondonia: at a forest reserve (Rebio Jaru) and a pasture (Fazenda Nossa Senhora Aparecida). The BVOCs measured included isoprene, alpha and beta pinene, camphene, sabinene, myrcene, limonene, and other monoterpenes. Approximately 24 to 40 soundings, including as many as four VOC samples collected simultaneously at various altitudes, were made at each site. There is one comma-delimited data file with this data set.
ABSTRACT: This data set reports concentrations of biogenic volatile organic compounds (BVOCs) collected from tethered balloon-sampling platforms above selected forest and pasture sites in the Brazilian Amazon in March 1998, February 1999, and February 2000. The air samples were collected from forested sites in Brazil: the Tapajos forest (Para) in the Tapajos/Xingu moist forest; Balbina (Amazonas) in the Uatuma moist forest; and Jaru (Rondonia) in the Purus/Madeira moist forest. Two other sites were also located in Rondonia: at a forest reserve (Rebio Jaru) and a pasture (Fazenda Nossa Senhora Aparecida). The BVOCs measured included isoprene, alpha and beta pinene, camphene, sabinene, myrcene, limonene, and other monoterpenes. Approximately 24 to 40 soundings, including as many as four VOC samples collected simultaneously at various altitudes, were made at each site. There is one comma-delimited data file with this data set.
This data set includes aerosol optical thickness measurements from the CIMEL sunphotometer for 22 sites in Brazil during the period from 1993-2005. The AERONET (AErosol RObotic NETwork) program is an inclusive federation of ground-based remote sensing aerosol networks established by AERONET and  the PHOtometrie pour le Traitement Operationnel de Normalisation Satellitaire (PHOTONS) and greatly expanded by AEROCAN (the Canadian sunphotometer network) and other agency, institute and university partners. The goal is to assess aerosol optical properties and validate satellite retrievals of aerosol optical properties. The network imposes standardization of instruments, calibration, and processing. Data from this collaboration provides globally distributed observations of spectral aerosol optical depths, inversion products, and precipitable water in geographically diverse aerosol regimes. Three levels of data are available from the AERONET website: Level 1.0 (unscreened), Level 1.5 (cloud-screened), and Level 2.0 (cloud-screened and quality-assured). Data provided here are Level 2.0. There are 22 comma-delimited data files with this data set and one companion text file which contains the latitude, longitude, and elevation of the 22 sites.
This data set includes aerosol optical thickness measurements from the CIMEL sunphotometer for 22 sites in Brazil during the period from 1993-2005. The AERONET (AErosol RObotic NETwork) program is an inclusive federation of ground-based remote sensing aerosol networks established by AERONET and  the PHOtometrie pour le Traitement Operationnel de Normalisation Satellitaire (PHOTONS) and greatly expanded by AEROCAN (the Canadian sunphotometer network) and other agency, institute and university partners. The goal is to assess aerosol optical properties and validate satellite retrievals of aerosol optical properties. The network imposes standardization of instruments, calibration, and processing. Data from this collaboration provides globally distributed observations of spectral aerosol optical depths, inversion products, and precipitable water in geographically diverse aerosol regimes. Three levels of data are available from the AERONET website: Level 1.0 (unscreened), Level 1.5 (cloud-screened), and Level 2.0 (cloud-screened and quality-assured). Data provided here are Level 2.0. There are 22 comma-delimited data files with this data set and one companion text file which contains the latitude, longitude, and elevation of the 22 sites.
ABSTRACT: This data set includes aerosol optical thickness measurements from the CIMEL sunphotometer for 22 sites in Brazil during the period from 1993-2005. The AERONET (AErosol RObotic NETwork) program is an inclusive federation of ground-based remote sensing aerosol networks established by AERONET and  the PHOtometrie pour le Traitement Operationnel de Normalisation Satellitaire (PHOTONS) and greatly expanded by AEROCAN (the Canadian sunphotometer network) and other agency, institute and university partners. The goal is to assess aerosol optical properties and validate satellite retrievals of aerosol optical properties. The network imposes standardization of instruments, calibration, and processing. Data from this collaboration provides globally distributed observations of spectral aerosol optical depths, inversion products, and precipitable water in geographically diverse aerosol regimes. Three levels of data are available from the AERONET website: Level 1.0 (unscreened), Level 1.5 (cloud-screened), and Level 2.0 (cloud-screened and quality-assured). Data provided here are Level 2.0. There are 22 comma-delimited data files with this data set and one companion text file which contains the latitude, longitude, and elevation of the 22 sites.
This data set includes solar surface irradiance from Kipp and Zonen CM-21 pyranometers, both total unfiltered and filtered (RG695), and photosynthetically active radiation (PAR) from Skye-Probetech SKE-510 PAR sensors. Measurements were made at six sites acrosss the Brazilian Amazon during the period from 1999 to 2004. These sites were co-located with AERONET (AErosol RObotic NETwork) program sites. There are 17 comma-delimited data files (.csv) with this data set. The AERONET program is an inclusive federation of ground-based remote sensing aerosol networks established by AERONET and  the PHOtometrie pour le Traitement Operationnel de Normalisation Satellitaire (PHOTONS) and greatly expanded by AEROCAN (the Canadian sunphotometer network) and other agency, institute and university partners. The goal is to assess aerosol optical properties and validate satellite retrievals of those properties. The network imposes standardization of instruments, calibration, and processing.
This data set includes solar surface irradiance from Kipp and Zonen CM-21 pyranometers, both total unfiltered and filtered (RG695), and photosynthetically active radiation (PAR) from Skye-Probetech SKE-510 PAR sensors. Measurements were made at six sites acrosss the Brazilian Amazon during the period from 1999 to 2004. These sites were co-located with AERONET (AErosol RObotic NETwork) program sites. There are 17 comma-delimited data files (.csv) with this data set. The AERONET program is an inclusive federation of ground-based remote sensing aerosol networks established by AERONET and  the PHOtometrie pour le Traitement Operationnel de Normalisation Satellitaire (PHOTONS) and greatly expanded by AEROCAN (the Canadian sunphotometer network) and other agency, institute and university partners. The goal is to assess aerosol optical properties and validate satellite retrievals of those properties. The network imposes standardization of instruments, calibration, and processing.
ABSTRACT: This data set includes solar surface irradiance from Kipp and Zonen CM-21 pyranometers, both total unfiltered and filtered (RG695), and photosynthetically active radiation (PAR) from Skye-Probetech SKE-510 PAR sensors. Measurements were made at six sites acrosss the Brazilian Amazon during the period from 1999 to 2004. These sites were co-located with AERONET (AErosol RObotic NETwork) program sites. There are 17 comma-delimited data files (.csv) with this data set. The AERONET program is an inclusive federation of ground-based remote sensing aerosol networks established by AERONET and  the PHOtometrie pour le Traitement Operationnel de Normalisation Satellitaire (PHOTONS) and greatly expanded by AEROCAN (the Canadian sunphotometer network) and other agency, institute and university partners. The goal is to assess aerosol optical properties and validate satellite retrievals of those properties. The network imposes standardization of instruments, calibration, and processing.
This data set provides maps produced from model output data from the National Aeronautics and Space Administration-Carnegie Ames Stanford Approach (NASA-CASA) model and other modeling approaches. The maps include estimated annual Net Primary Production (ANPP), leaf (live) biomass carbon, wood (live) biomass carbon, fine root (live) biomass carbon, metabolic leaf litter (dead) carbon, structural leaf litter (dead) carbon, woody detritus (dead) carbon, and slow soil carbon, gridded at half-degree spatial resolution for the years 1982-1998, and 2001 (NPP data) for Brazil. Maps are provided at one-degree resolution for monthly soil emissions and soil uptake of N2O, NO, CO, and CH4. In addition, there are maps in 8-km resolution for soil texture, soil carbon, soil pH, soil maximum plant available water (paw), and net primary productivity (NPP).There are three files with this data set in tar.gz format. The files are in half-degree, one-degree, and 8-km resolution. When expanded, the half degree and one degree files contain 83 map files in GeoTIFF (.tif) format. The third file (8-km resolution) contains the soil and productivity maps. When expanded, this file contains 22 files in GeoTIFF (.tif) format.
This data set provides maps produced from model output data from the National Aeronautics and Space Administration-Carnegie Ames Stanford Approach (NASA-CASA) model and other modeling approaches. The maps include estimated annual Net Primary Production (ANPP), leaf (live) biomass carbon, wood (live) biomass carbon, fine root (live) biomass carbon, metabolic leaf litter (dead) carbon, structural leaf litter (dead) carbon, woody detritus (dead) carbon, and slow soil carbon, gridded at half-degree spatial resolution for the years 1982-1998, and 2001 (NPP data) for Brazil. Maps are provided at one-degree resolution for monthly soil emissions and soil uptake of N2O, NO, CO, and CH4. In addition, there are maps in 8-km resolution for soil texture, soil carbon, soil pH, soil maximum plant available water (paw), and net primary productivity (NPP).There are three files with this data set in tar.gz format. The files are in half-degree, one-degree, and 8-km resolution. When expanded, the half degree and one degree files contain 83 map files in GeoTIFF (.tif) format. The third file (8-km resolution) contains the soil and productivity maps. When expanded, this file contains 22 files in GeoTIFF (.tif) format.
ABSTRACT: This data set provides maps produced from model output data from the National Aeronautics and Space Administration-Carnegie Ames Stanford Approach (NASA-CASA) model and other modeling approaches. The maps include estimated annual Net Primary Production (ANPP), leaf (live) biomass carbon, wood (live) biomass carbon, fine root (live) biomass carbon, metabolic leaf litter (dead) carbon, structural leaf litter (dead) carbon, woody detritus (dead) carbon, and slow soil carbon, gridded at half-degree spatial resolution for the years 1982-1998, and 2001 (NPP data) for Brazil. Maps are provided at one-degree resolution for monthly soil emissions and soil uptake of N2O, NO, CO, and CH4. In addition, there are maps in 8-km resolution for soil texture, soil carbon, soil pH, soil maximum plant available water (paw), and net primary productivity (NPP).There are three files with this data set in tar.gz format. The files are in half-degree, one-degree, and 8-km resolution. When expanded, the half degree and one degree files contain 83 map files in GeoTIFF (.tif) format. The third file (8-km resolution) contains the soil and productivity maps. When expanded, this file contains 22 files in GeoTIFF (.tif) format.
This data set contains measurements of atmospheric carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), hydrogen (H2), nitrous oxide (N2O), and sulfur hexafluoride (SF6) collected from December 2000-November 2005 as vertical profiles above three sites in Brazil: Fortaleza, Santarem, and Manaus. At Santarem, ascending profiles were made above the Tapajos National Forest, near the km 67 Tower Site. At Manaus, ascending profiles were made above the K34 flux tower (aka, ZF2 km 34 tower) to the northwest of the city of Manaus. Descending profiles were flown nearby, but at locations upwind of population centers to avoid possible pollution. Fortaleza samples were collected off the coast, over the Atlantic Ocean to sample background air before it flows over the Amazon Basin.Air samples were collected as discrete samples aboard light aircraft and shipped to laboratories for analysis relative to internationally accepted calibration standards.There are three comma-delimited (.csv) data files with this data set.
This data set contains measurements of atmospheric carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), hydrogen (H2), nitrous oxide (N2O), and sulfur hexafluoride (SF6) collected from December 2000-November 2005 as vertical profiles above three sites in Brazil: Fortaleza, Santarem, and Manaus. At Santarem, ascending profiles were made above the Tapajos National Forest, near the km 67 Tower Site. At Manaus, ascending profiles were made above the K34 flux tower (aka, ZF2 km 34 tower) to the northwest of the city of Manaus. Descending profiles were flown nearby, but at locations upwind of population centers to avoid possible pollution. Fortaleza samples were collected off the coast, over the Atlantic Ocean to sample background air before it flows over the Amazon Basin.Air samples were collected as discrete samples aboard light aircraft and shipped to laboratories for analysis relative to internationally accepted calibration standards.There are three comma-delimited (.csv) data files with this data set.
ABSTRACT: This data set contains measurements of atmospheric carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), hydrogen (H2), nitrous oxide (N2O), and sulfur hexafluoride (SF6) collected from December 2000-November 2005 as vertical profiles above three sites in Brazil: Fortaleza, Santarem, and Manaus. At Santarem, ascending profiles were made above the Tapajos National Forest, near the km 67 Tower Site. At Manaus, ascending profiles were made above the K34 flux tower (aka, ZF2 km 34 tower) to the northwest of the city of Manaus. Descending profiles were flown nearby, but at locations upwind of population centers to avoid possible pollution. Fortaleza samples were collected off the coast, over the Atlantic Ocean to sample background air before it flows over the Amazon Basin.Air samples were collected as discrete samples aboard light aircraft and shipped to laboratories for analysis relative to internationally accepted calibration standards.There are three comma-delimited (.csv) data files with this data set.
This data set reports the characterization of fallen necromass as the volume and density of coarse woody debris (CWD), and standing necromass as the volume and density of standing dead trees. Measurements were made in undisturbed and logged forest areas of the Tapajos National Forest, and Cauaxi Forest, Para, Brazil,  and Juruena Forest, Mato Grosso, Brazil from 2002-2004. Fallen and standing necromass were classified into one of five categories according to its state of decomposition. There are two comma-delimited ASCII data files with this data set: two files contain the sampling information, decomposition state, and DBH measurements. There are also two files provided as companion data files which provide sampling transect descriptions.
This data set reports the characterization of fallen necromass as the volume and density of coarse woody debris (CWD), and standing necromass as the volume and density of standing dead trees. Measurements were made in undisturbed and logged forest areas of the Tapajos National Forest, and Cauaxi Forest, Para, Brazil,  and Juruena Forest, Mato Grosso, Brazil from 2002-2004. Fallen and standing necromass were classified into one of five categories according to its state of decomposition. There are two comma-delimited ASCII data files with this data set: two files contain the sampling information, decomposition state, and DBH measurements. There are also two files provided as companion data files which provide sampling transect descriptions.
ABSTRACT: This data set reports the characterization of fallen necromass as the volume and density of coarse woody debris (CWD), and standing necromass as the volume and density of standing dead trees. Measurements were made in undisturbed and logged forest areas of the Tapajos National Forest, and Cauaxi Forest, Para, Brazil,  and Juruena Forest, Mato Grosso, Brazil from 2002-2004. Fallen and standing necromass were classified into one of five categories according to its state of decomposition. There are two comma-delimited ASCII data files with this data set: two files contain the sampling information, decomposition state, and DBH measurements. There are also two files provided as companion data files which provide sampling transect descriptions.
This data set reports phosphorus (P), carbon (C), and nitrogen (N) nutrient pool concentrations for forest soils and roots and P pool concentrations for forest floor litter, soil solutions, and microbial extracts. Soils samples were also extracted using the Hedley sequential fractionation method and the extracts analyzed for P. Nutrient pool concentrations are presented on an areal basis of 1 hectare to a depth of 10 cm, as calculated from soil bulk densities and respective pool biomass quantities. There is one comma-delimited ASCII file with this data set. These measurements were made during a soil P addition fertilization experiment conducted at the km 83 site, Tapajos National Forest, Para, Brazil. Control and fertilized plots were established in both sandy loam and clay soils. Soil cores were collected every 4 months from August 1999 through April 2000 (McGroddy et al. 2008).
This data set reports phosphorus (P), carbon (C), and nitrogen (N) nutrient pool concentrations for forest soils and roots and P pool concentrations for forest floor litter, soil solutions, and microbial extracts. Soils samples were also extracted using the Hedley sequential fractionation method and the extracts analyzed for P. Nutrient pool concentrations are presented on an areal basis of 1 hectare to a depth of 10 cm, as calculated from soil bulk densities and respective pool biomass quantities. There is one comma-delimited ASCII file with this data set. These measurements were made during a soil P addition fertilization experiment conducted at the km 83 site, Tapajos National Forest, Para, Brazil. Control and fertilized plots were established in both sandy loam and clay soils. Soil cores were collected every 4 months from August 1999 through April 2000 (McGroddy et al. 2008).
ABSTRACT: This data set reports phosphorus (P), carbon (C), and nitrogen (N) nutrient pool concentrations for forest soils and roots and P pool concentrations for forest floor litter, soil solutions, and microbial extracts. Soils samples were also extracted using the Hedley sequential fractionation method and the extracts analyzed for P. Nutrient pool concentrations are presented on an areal basis of 1 hectare to a depth of 10 cm, as calculated from soil bulk densities and respective pool biomass quantities. There is one comma-delimited ASCII file with this data set. These measurements were made during a soil P addition fertilization experiment conducted at the km 83 site, Tapajos National Forest, Para, Brazil. Control and fertilized plots were established in both sandy loam and clay soils. Soil cores were collected every 4 months from August 1999 through April 2000 (McGroddy et al. 2008).
This data set provides the results of a GLAS (the Geoscience Laser Altimeter System) forest structure validation survey conducted in Santarem and Sao Jorge, Para during November 2004 (Lefsky et al., 2005). DBH, total height, commercial height, canopy width and canopy class description were measured for 11 primary forest sites in Santarem along two 75m transects per GLAS measurement. For 10 secondary forest sites in Sao Jorge, the number of stems 0-2cm, 2-5cm, 5-10cm, and greater than 10cm were measured. For all stems greater than 10cm the DBH was measured, and for all sites, the maximum height was recorded. The basal area was calculated for all trees with DBH greater than 10cm within our transects, and biomass was calculated using the Brown, 1997 formula.Exchange of carbon between forests and the atmosphere is a vital component of the global carbon cycle. Satellite laser altimetry has a unique capability for estimating forest canopy height, which has a direct and increasingly well understood relationship to aboveground carbon storage.
This data set provides the results of a GLAS (the Geoscience Laser Altimeter System) forest structure validation survey conducted in Santarem and Sao Jorge, Para during November 2004 (Lefsky et al., 2005). DBH, total height, commercial height, canopy width and canopy class description were measured for 11 primary forest sites in Santarem along two 75m transects per GLAS measurement. For 10 secondary forest sites in Sao Jorge, the number of stems 0-2cm, 2-5cm, 5-10cm, and greater than 10cm were measured. For all stems greater than 10cm the DBH was measured, and for all sites, the maximum height was recorded. The basal area was calculated for all trees with DBH greater than 10cm within our transects, and biomass was calculated using the Brown, 1997 formula.Exchange of carbon between forests and the atmosphere is a vital component of the global carbon cycle. Satellite laser altimetry has a unique capability for estimating forest canopy height, which has a direct and increasingly well understood relationship to aboveground carbon storage.
ABSTRACT: This data set provides the results of a GLAS (the Geoscience Laser Altimeter System) forest structure validation survey conducted in Santarem and Sao Jorge, Para during November 2004 (Lefsky et al., 2005). DBH, total height, commercial height, canopy width and canopy class description were measured for 11 primary forest sites in Santarem along two 75m transects per GLAS measurement. For 10 secondary forest sites in Sao Jorge, the number of stems 0-2cm, 2-5cm, 5-10cm, and greater than 10cm were measured. For all stems greater than 10cm the DBH was measured, and for all sites, the maximum height was recorded. The basal area was calculated for all trees with DBH greater than 10cm within our transects, and biomass was calculated using the Brown, 1997 formula.Exchange of carbon between forests and the atmosphere is a vital component of the global carbon cycle. Satellite laser altimetry has a unique capability for estimating forest canopy height, which has a direct and increasingly well understood relationship to aboveground carbon storage.
A field inventory of trees was conducted in March of 1997 in a logging concession at the Tapajos National Forest, south of Santarem, Para, Brazil. The inventory was conducted by the foresters and technicians of the Tropical Forest Foundation (FFT) and included all trees with diameter at breast height greater than or equal to 35 cm. Four blocks of approximately 100 ha each within the 3,200 ha concession were inventoried. Within each block, parallel trails 50 m apart were established, and the location of each tree measured was recorded to the nearest meter using an orthogonal coordinate system based on these trails. Field data for each tree includes: identification number, ground position, diameter, common name, scientific name and qualitative estimates of bole and canopy quality. Data are provided in one ASCII comma separated file. These data were used to calculate above-ground live biomass as described in Keller et al. (2001), but biomass data are not included in this data set.
A field inventory of trees was conducted in March of 1997 in a logging concession at the Tapajos National Forest, south of Santarem, Para, Brazil. The inventory was conducted by the foresters and technicians of the Tropical Forest Foundation (FFT) and included all trees with diameter at breast height greater than or equal to 35 cm. Four blocks of approximately 100 ha each within the 3,200 ha concession were inventoried. Within each block, parallel trails 50 m apart were established, and the location of each tree measured was recorded to the nearest meter using an orthogonal coordinate system based on these trails. Field data for each tree includes: identification number, ground position, diameter, common name, scientific name and qualitative estimates of bole and canopy quality. Data are provided in one ASCII comma separated file. These data were used to calculate above-ground live biomass as described in Keller et al. (2001), but biomass data are not included in this data set.
ABSTRACT: A field inventory of trees was conducted in March of 1997 in a logging concession at the Tapajos National Forest, south of Santarem, Para, Brazil. The inventory was conducted by the foresters and technicians of the Tropical Forest Foundation (FFT) and included all trees with diameter at breast height greater than or equal to 35 cm. Four blocks of approximately 100 ha each within the 3,200 ha concession were inventoried. Within each block, parallel trails 50 m apart were established, and the location of each tree measured was recorded to the nearest meter using an orthogonal coordinate system based on these trails. Field data for each tree includes: identification number, ground position, diameter, common name, scientific name and qualitative estimates of bole and canopy quality. Data are provided in one ASCII comma separated file. These data were used to calculate above-ground live biomass as described in Keller et al. (2001), but biomass data are not included in this data set.
The goal of this study was to determine the effects of soil phosphorus (P) status on litter decomposition rates using two factors: soil texture (with associated differences in soil P pools) and fertilization, in a fully factorial design. Mass and nutrient pools in litter from a single species, Marupa (Simaruba amara (Aubl.)), were measured quarterly between March 2000 and February 2001 in an undisturbed mature forest within the Tapajos National Forest at the kilometer 83 site. Reported here are litter mass and nutrients (carbon, nitrogen and phosphorus) as both raw values (grams for mass, percent for carbon and nitrogen and mg per kg for phosphorus), and as proportion of the initial mass and nutrient pool. Data are provided in a comma separated ASCII format.
The goal of this study was to determine the effects of soil phosphorus (P) status on litter decomposition rates using two factors: soil texture (with associated differences in soil P pools) and fertilization, in a fully factorial design. Mass and nutrient pools in litter from a single species, Marupa (Simaruba amara (Aubl.)), were measured quarterly between March 2000 and February 2001 in an undisturbed mature forest within the Tapajos National Forest at the kilometer 83 site. Reported here are litter mass and nutrients (carbon, nitrogen and phosphorus) as both raw values (grams for mass, percent for carbon and nitrogen and mg per kg for phosphorus), and as proportion of the initial mass and nutrient pool. Data are provided in a comma separated ASCII format.
ABSTRACT: The goal of this study was to determine the effects of soil phosphorus (P) status on litter decomposition rates using two factors: soil texture (with associated differences in soil P pools) and fertilization, in a fully factorial design. Mass and nutrient pools in litter from a single species, Marupa (Simaruba amara (Aubl.)), were measured quarterly between March 2000 and February 2001 in an undisturbed mature forest within the Tapajos National Forest at the kilometer 83 site. Reported here are litter mass and nutrients (carbon, nitrogen and phosphorus) as both raw values (grams for mass, percent for carbon and nitrogen and mg per kg for phosphorus), and as proportion of the initial mass and nutrient pool. Data are provided in a comma separated ASCII format.
This data set reports measurements of trace gas fluxes of methane (CH4), nitric oxide (N2O), nitrous oxide (NO), carbon dioxide (CO2) from soils at a study site in the Tapajos National Forest (TNF), near the km 83 on the Santarem-Cuiaba Highway south of Santarem, Para, Brazil. Data for root mass and carbon content, soil nitrogen (N), nitrification, and moisture content are also provided. There are five comma-delimited data files with this data set.The research was conducted to test the effects of root mortality on the soil-atmosphere trace-gas fluxes over the course of one year. Root mortality was induced by isolating blocks of land to 1 m depth using trenching and root exclusion screening. Gas fluxes were measured weekly for ten weeks following the trenching treatment and monthly for the remainder of the year.Note: The related  data set LBA-ECO TG-07 Soil Trace Gas Flux and Root Mortality, Tapajos National Forest contains the same flux data that were measured weekly for ten weeks following the trenching treatment. This data set also provides the monthly data for the remainder of the year.
This data set reports measurements of trace gas fluxes of methane (CH4), nitric oxide (N2O), nitrous oxide (NO), carbon dioxide (CO2) from soils at a study site in the Tapajos National Forest (TNF), near the km 83 on the Santarem-Cuiaba Highway south of Santarem, Para, Brazil. Data for root mass and carbon content, soil nitrogen (N), nitrification, and moisture content are also provided. There are five comma-delimited data files with this data set.The research was conducted to test the effects of root mortality on the soil-atmosphere trace-gas fluxes over the course of one year. Root mortality was induced by isolating blocks of land to 1 m depth using trenching and root exclusion screening. Gas fluxes were measured weekly for ten weeks following the trenching treatment and monthly for the remainder of the year.Note: The related  data set LBA-ECO TG-07 Soil Trace Gas Flux and Root Mortality, Tapajos National Forest contains the same flux data that were measured weekly for ten weeks following the trenching treatment. This data set also provides the monthly data for the remainder of the year.
ABSTRACT: This data set reports measurements of trace gas fluxes of methane (CH4), nitric oxide (N2O), nitrous oxide (NO), carbon dioxide (CO2) from soils at a study site in the Tapajos National Forest (TNF), near the km 83 on the Santarem-Cuiaba Highway south of Santarem, Para, Brazil. Data for root mass and carbon content, soil nitrogen (N), nitrification, and moisture content are also provided. There are five comma-delimited data files with this data set.The research was conducted to test the effects of root mortality on the soil-atmosphere trace-gas fluxes over the course of one year. Root mortality was induced by isolating blocks of land to 1 m depth using trenching and root exclusion screening. Gas fluxes were measured weekly for ten weeks following the trenching treatment and monthly for the remainder of the year.Note: The related  data set LBA-ECO TG-07 Soil Trace Gas Flux and Root Mortality, Tapajos National Forest contains the same flux data that were measured weekly for ten weeks following the trenching treatment. This data set also provides the monthly data for the remainder of the year.
This data set provides concentrations of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) from air samples collected at several heights on towers at three locations in upland old growth forests in the Brazilian Amazon during the wet and dry seasons of 2004 and 2005. Towers are located in the Caxiuana National Forest, in the state of Amazonas; the Manaus, Para, site in the Cuieiras Reserve; and the Sinop site, located north of that city in the state of Mato Grosso. Two sampling campaigns were conducted at each location. Samples were collected from each height 3-5 times on several nights and at least once during well-mixed daytime conditions during each campaign for a total of 75 profiles on 19 dates. There is one comma-delimited ASCII file with this data set.
This data set provides concentrations of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) from air samples collected at several heights on towers at three locations in upland old growth forests in the Brazilian Amazon during the wet and dry seasons of 2004 and 2005. Towers are located in the Caxiuana National Forest, in the state of Amazonas; the Manaus, Para, site in the Cuieiras Reserve; and the Sinop site, located north of that city in the state of Mato Grosso. Two sampling campaigns were conducted at each location. Samples were collected from each height 3-5 times on several nights and at least once during well-mixed daytime conditions during each campaign for a total of 75 profiles on 19 dates. There is one comma-delimited ASCII file with this data set.
ABSTRACT: This data set provides concentrations of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) from air samples collected at several heights on towers at three locations in upland old growth forests in the Brazilian Amazon during the wet and dry seasons of 2004 and 2005. Towers are located in the Caxiuana National Forest, in the state of Amazonas; the Manaus, Para, site in the Cuieiras Reserve; and the Sinop site, located north of that city in the state of Mato Grosso. Two sampling campaigns were conducted at each location. Samples were collected from each height 3-5 times on several nights and at least once during well-mixed daytime conditions during each campaign for a total of 75 profiles on 19 dates. There is one comma-delimited ASCII file with this data set.
Measurements of the soil-atmosphere flux of CO2 were made at the km 67 flux tower site in the Tapajos National Forest, Santarem, Para, Brazil. Eight chambers were set up to measure trace gas exchange between the soil and atmosphere about 5 times a day (during daylight and night) at this undisturbed forest site from April 2001 to April 2003. CO2 soil efflux data are reported in one ASCII comma separated file.The automated chamber system consisted of 8 automatically opening and closing aluminum chambers with an infrared gas analyzer. The chambers were installed in a 0.5 ha area close to the flux tower on patches of ground without apparent photosynthetic vegetation. Each chamber was sequentially closed, sampled, and re-opened 5 times per day (closed 7% of the day). The maximum daily average flux was 4.3 and the minimum was 1.3 umol CO2 m-2 s-1.
Measurements of the soil-atmosphere flux of CO2 were made at the km 67 flux tower site in the Tapajos National Forest, Santarem, Para, Brazil. Eight chambers were set up to measure trace gas exchange between the soil and atmosphere about 5 times a day (during daylight and night) at this undisturbed forest site from April 2001 to April 2003. CO2 soil efflux data are reported in one ASCII comma separated file.The automated chamber system consisted of 8 automatically opening and closing aluminum chambers with an infrared gas analyzer. The chambers were installed in a 0.5 ha area close to the flux tower on patches of ground without apparent photosynthetic vegetation. Each chamber was sequentially closed, sampled, and re-opened 5 times per day (closed 7% of the day). The maximum daily average flux was 4.3 and the minimum was 1.3 umol CO2 m-2 s-1.
ABSTRACT: Measurements of the soil-atmosphere flux of CO2 were made at the km 67 flux tower site in the Tapajos National Forest, Santarem, Para, Brazil. Eight chambers were set up to measure trace gas exchange between the soil and atmosphere about 5 times a day (during daylight and night) at this undisturbed forest site from April 2001 to April 2003. CO2 soil efflux data are reported in one ASCII comma separated file.The automated chamber system consisted of 8 automatically opening and closing aluminum chambers with an infrared gas analyzer. The chambers were installed in a 0.5 ha area close to the flux tower on patches of ground without apparent photosynthetic vegetation. Each chamber was sequentially closed, sampled, and re-opened 5 times per day (closed 7% of the day). The maximum daily average flux was 4.3 and the minimum was 1.3 umol CO2 m-2 s-1.
This data set reports the results of an experiment that tested the short-term effects of root mortality on the soil-atmosphere fluxes of nitrous oxide, nitric oxide, methane, and carbon dioxide in a tropical evergreen forest. Weekly trace gas fluxes are provided for treatment and control plots on sand and clay tropical forest soils in two comma separated ASCII files.The study site in the Tapajos National Forest (TNF) is near km 83 on the Santarem-Cuiaba Highway south of Santarem, Para, Brazil. Root mortality was induced by isolating blocks of land to 1 m depth using trenching and root exclusion screening. Gas fluxes were measured weekly for ten weeks following the trenching treatment and monthly for the remainder of the year. Monthly data are not included at this time.
This data set reports the results of an experiment that tested the short-term effects of root mortality on the soil-atmosphere fluxes of nitrous oxide, nitric oxide, methane, and carbon dioxide in a tropical evergreen forest. Weekly trace gas fluxes are provided for treatment and control plots on sand and clay tropical forest soils in two comma separated ASCII files.The study site in the Tapajos National Forest (TNF) is near km 83 on the Santarem-Cuiaba Highway south of Santarem, Para, Brazil. Root mortality was induced by isolating blocks of land to 1 m depth using trenching and root exclusion screening. Gas fluxes were measured weekly for ten weeks following the trenching treatment and monthly for the remainder of the year. Monthly data are not included at this time.
ABSTRACT: This data set reports the results of an experiment that tested the short-term effects of root mortality on the soil-atmosphere fluxes of nitrous oxide, nitric oxide, methane, and carbon dioxide in a tropical evergreen forest. Weekly trace gas fluxes are provided for treatment and control plots on sand and clay tropical forest soils in two comma separated ASCII files.The study site in the Tapajos National Forest (TNF) is near km 83 on the Santarem-Cuiaba Highway south of Santarem, Para, Brazil. Root mortality was induced by isolating blocks of land to 1 m depth using trenching and root exclusion screening. Gas fluxes were measured weekly for ten weeks following the trenching treatment and monthly for the remainder of the year. Monthly data are not included at this time.
Trace gas fluxes of carbon dioxide, methane, nitrous oxide, and nitric oxide (CO2, CH4, N2O, and NO) from surface soil were measured manually in an undisturbed forest at the Tapajos National Forest Seca-Floresta Site, which is within the footprint of the km 67 eddy flux tower. Measurements were made in January 2000 through April 2004, approximately twice per month. On each sampling date, up to four sets of 30-m lines were established off the existing transects at the Seca-Floresta site. Along each line eight chambers were installed for gas collection. In addition soil samples were collected for analysis of soil moisture as water-filled pore space (WFPS). There is one comma-delimited ASCII file with this data set.
Trace gas fluxes of carbon dioxide, methane, nitrous oxide, and nitric oxide (CO2, CH4, N2O, and NO) from surface soil were measured manually in an undisturbed forest at the Tapajos National Forest Seca-Floresta Site, which is within the footprint of the km 67 eddy flux tower. Measurements were made in January 2000 through April 2004, approximately twice per month. On each sampling date, up to four sets of 30-m lines were established off the existing transects at the Seca-Floresta site. Along each line eight chambers were installed for gas collection. In addition soil samples were collected for analysis of soil moisture as water-filled pore space (WFPS). There is one comma-delimited ASCII file with this data set.
ABSTRACT: Trace gas fluxes of carbon dioxide, methane, nitrous oxide, and nitric oxide (CO2, CH4, N2O, and NO) from surface soil were measured manually in an undisturbed forest at the Tapajos National Forest Seca-Floresta Site, which is within the footprint of the km 67 eddy flux tower. Measurements were made in January 2000 through April 2004, approximately twice per month. On each sampling date, up to four sets of 30-m lines were established off the existing transects at the Seca-Floresta site. Along each line eight chambers were installed for gas collection. In addition soil samples were collected for analysis of soil moisture as water-filled pore space (WFPS). There is one comma-delimited ASCII file with this data set.
Trace gas fluxes of carbon dioxide, methane, nitrous oxide, and nitric oxide were measured manually at undisturbed and logged forest sites in the Tapajos National Forest, near Santarem, Para, Brazil. Manual measurements were made approximately weekly at both the undisturbed and logged sites. Fluxes from clay and sand soils were completed at the undisturbed sites. Fluxes were measured at the deck (patio), skid trail, clearing and forest at the logged sites. Soil moisture is reported as daily average water-filled pore space (WFPS) for the undisturbed forest clay and sand soils. Data are reported in three ASCII comma separated files.
Trace gas fluxes of carbon dioxide, methane, nitrous oxide, and nitric oxide were measured manually at undisturbed and logged forest sites in the Tapajos National Forest, near Santarem, Para, Brazil. Manual measurements were made approximately weekly at both the undisturbed and logged sites. Fluxes from clay and sand soils were completed at the undisturbed sites. Fluxes were measured at the deck (patio), skid trail, clearing and forest at the logged sites. Soil moisture is reported as daily average water-filled pore space (WFPS) for the undisturbed forest clay and sand soils. Data are reported in three ASCII comma separated files.
ABSTRACT: Trace gas fluxes of carbon dioxide, methane, nitrous oxide, and nitric oxide were measured manually at undisturbed and logged forest sites in the Tapajos National Forest, near Santarem, Para, Brazil. Manual measurements were made approximately weekly at both the undisturbed and logged sites. Fluxes from clay and sand soils were completed at the undisturbed sites. Fluxes were measured at the deck (patio), skid trail, clearing and forest at the logged sites. Soil moisture is reported as daily average water-filled pore space (WFPS) for the undisturbed forest clay and sand soils. Data are reported in three ASCII comma separated files.
Canopy measurements in an undisturbed eastern Amazon forest (Cauxi, Para, Brazil. See Figure 1) were derived from a one-time event in 2000 using a hand-held laser range finder, and diameter at breast height (DBH) was determined manually. Parameters reported include: Crown Width, Crown Depth, Tree Height, and DBH. There is one comma-delimited ASCII data file with this data set. In addition, these manually derived measurements were compared to the IKONOS satellite data of crown dimensions that were acquired on 2 November 2000, from an orbital altitude of 680 km. The data from a 600 x 600 m block of undisturbed forest, including the 50 ha area surveyed in the field, were analyzed in a combined image processing and geographic information system environment.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products. KNOWN PROBLEMS: Only the general location for this study was identified -- Cauaxi, Para, Brazil. The tree measurement data are of limited use because coordinates for the study site, coordinates of the beginning and end of the transects, and coordinates of the measured trees were not provided. Also, the area that the IKONOS image captured was not provided and the IKONOS image is not available due to restricted distribution.
Canopy measurements in an undisturbed eastern Amazon forest (Cauxi, Para, Brazil. See Figure 1) were derived from a one-time event in 2000 using a hand-held laser range finder, and diameter at breast height (DBH) was determined manually. Parameters reported include: Crown Width, Crown Depth, Tree Height, and DBH. There is one comma-delimited ASCII data file with this data set. In addition, these manually derived measurements were compared to the IKONOS satellite data of crown dimensions that were acquired on 2 November 2000, from an orbital altitude of 680 km. The data from a 600 x 600 m block of undisturbed forest, including the 50 ha area surveyed in the field, were analyzed in a combined image processing and geographic information system environment.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products. KNOWN PROBLEMS: Only the general location for this study was identified -- Cauaxi, Para, Brazil. The tree measurement data are of limited use because coordinates for the study site, coordinates of the beginning and end of the transects, and coordinates of the measured trees were not provided. Also, the area that the IKONOS image captured was not provided and the IKONOS image is not available due to restricted distribution.
ABSTRACT: Canopy measurements in an undisturbed eastern Amazon forest (Cauxi, Para, Brazil. See Figure 1) were derived from a one-time event in 2000 using a hand-held laser range finder, and diameter at breast height (DBH) was determined manually. Parameters reported include: Crown Width, Crown Depth, Tree Height, and DBH. There is one comma-delimited ASCII data file with this data set. In addition, these manually derived measurements were compared to the IKONOS satellite data of crown dimensions that were acquired on 2 November 2000, from an orbital altitude of 680 km. The data from a 600 x 600 m block of undisturbed forest, including the 50 ha area surveyed in the field, were analyzed in a combined image processing and geographic information system environment.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products. KNOWN PROBLEMS: Only the general location for this study was identified -- Cauaxi, Para, Brazil. The tree measurement data are of limited use because coordinates for the study site, coordinates of the beginning and end of the transects, and coordinates of the measured trees were not provided. Also, the area that the IKONOS image captured was not provided and the IKONOS image is not available due to restricted distribution.
This data set provides nitric oxide (NO), nitrous oxide (N2O), carbon dioxide (CO2) flux measurements, nitrogen (N) and phosphorus (P) pools, net N mineralization and nitrification rates, and measurements of soil moisture, in response to nitrogen and phosphorus soil fertilization treatments. The research was conducted in a mature moist tropical forest and an 11-year pasture at Nova Vida in Rondonia, in the Brazilian Amazon, in 1998 and 1999. There is one comma-delimited ASCII data file with this data set.
This data set provides nitric oxide (NO), nitrous oxide (N2O), carbon dioxide (CO2) flux measurements, nitrogen (N) and phosphorus (P) pools, net N mineralization and nitrification rates, and measurements of soil moisture, in response to nitrogen and phosphorus soil fertilization treatments. The research was conducted in a mature moist tropical forest and an 11-year pasture at Nova Vida in Rondonia, in the Brazilian Amazon, in 1998 and 1999. There is one comma-delimited ASCII data file with this data set.
ABSTRACT: This data set provides nitric oxide (NO), nitrous oxide (N2O), carbon dioxide (CO2) flux measurements, nitrogen (N) and phosphorus (P) pools, net N mineralization and nitrification rates, and measurements of soil moisture, in response to nitrogen and phosphorus soil fertilization treatments. The research was conducted in a mature moist tropical forest and an 11-year pasture at Nova Vida in Rondonia, in the Brazilian Amazon, in 1998 and 1999. There is one comma-delimited ASCII data file with this data set.
This data set includes the results of measurements of the soil gas fluxes of nitric oxide (NO), nitrous oxide (N2O), and carbon dioxide (CO2), soil moisture, soil temperature, and soil pools of ammonium and nitrate in response to a simulated rain event. Study sites were soils in mature forests and pastures of two ages (11 and 26 yrs old). The study took place during the dry season in August 1998 at Fazenda Nova Vida, Rondonia in the Brazilian Amazon. There is one comma-delimited ASCII file with this data set. This study investigated how changes in soil moisture (i.e., rains at the end of the dry season) affected the fluxes of NO, N20 and CO2 from forest and pasture soils in the southwestern Brazilian Amazon (Garcia-Montiel, et al., 2003). The main objectives were to measure the short-term dynamics of soil emissions of NO, N20, and CO2 in forest and pasture soils associated with soil wetting after prolonged dryness; and quantify the contribution of the pulses of N oxide fluxes resulting from soil wetting to dry season and annual fluxes.
This data set includes the results of measurements of the soil gas fluxes of nitric oxide (NO), nitrous oxide (N2O), and carbon dioxide (CO2), soil moisture, soil temperature, and soil pools of ammonium and nitrate in response to a simulated rain event. Study sites were soils in mature forests and pastures of two ages (11 and 26 yrs old). The study took place during the dry season in August 1998 at Fazenda Nova Vida, Rondonia in the Brazilian Amazon. There is one comma-delimited ASCII file with this data set. This study investigated how changes in soil moisture (i.e., rains at the end of the dry season) affected the fluxes of NO, N20 and CO2 from forest and pasture soils in the southwestern Brazilian Amazon (Garcia-Montiel, et al., 2003). The main objectives were to measure the short-term dynamics of soil emissions of NO, N20, and CO2 in forest and pasture soils associated with soil wetting after prolonged dryness; and quantify the contribution of the pulses of N oxide fluxes resulting from soil wetting to dry season and annual fluxes.
ABSTRACT: This data set includes the results of measurements of the soil gas fluxes of nitric oxide (NO), nitrous oxide (N2O), and carbon dioxide (CO2), soil moisture, soil temperature, and soil pools of ammonium and nitrate in response to a simulated rain event. Study sites were soils in mature forests and pastures of two ages (11 and 26 yrs old). The study took place during the dry season in August 1998 at Fazenda Nova Vida, Rondonia in the Brazilian Amazon. There is one comma-delimited ASCII file with this data set. This study investigated how changes in soil moisture (i.e., rains at the end of the dry season) affected the fluxes of NO, N20 and CO2 from forest and pasture soils in the southwestern Brazilian Amazon (Garcia-Montiel, et al., 2003). The main objectives were to measure the short-term dynamics of soil emissions of NO, N20, and CO2 in forest and pasture soils associated with soil wetting after prolonged dryness; and quantify the contribution of the pulses of N oxide fluxes resulting from soil wetting to dry season and annual fluxes.
This data set reports the results of carbon, nitrogen, and oxygen isotopic analyses of soil, soil water, and N2O soil gas samples; total soil carbon and nitrogen concentrations; and soil texture and bulk density. Samples were collected from the km 83 Logged Forest Tower Site and the km 67 Seca-Floresta Site in the Tapajos National Forest (TNF) near Santarem, Para, Brazil. Soil samples were collected in July of 2000 and soil gas samples were collected in 2001 and 2002. Soil and gas samples were collected from various soil types at each site and from several depths in specially constructed pits. There is one comma-delimited ASCII data file with this data set.
This data set reports the results of carbon, nitrogen, and oxygen isotopic analyses of soil, soil water, and N2O soil gas samples; total soil carbon and nitrogen concentrations; and soil texture and bulk density. Samples were collected from the km 83 Logged Forest Tower Site and the km 67 Seca-Floresta Site in the Tapajos National Forest (TNF) near Santarem, Para, Brazil. Soil samples were collected in July of 2000 and soil gas samples were collected in 2001 and 2002. Soil and gas samples were collected from various soil types at each site and from several depths in specially constructed pits. There is one comma-delimited ASCII data file with this data set.
ABSTRACT: This data set reports the results of carbon, nitrogen, and oxygen isotopic analyses of soil, soil water, and N2O soil gas samples; total soil carbon and nitrogen concentrations; and soil texture and bulk density. Samples were collected from the km 83 Logged Forest Tower Site and the km 67 Seca-Floresta Site in the Tapajos National Forest (TNF) near Santarem, Para, Brazil. Soil samples were collected in July of 2000 and soil gas samples were collected in 2001 and 2002. Soil and gas samples were collected from various soil types at each site and from several depths in specially constructed pits. There is one comma-delimited ASCII data file with this data set.
This data set provides derived emission factors (EFs), reported in grams of compound emitted per kilogram of dry fuel (g/kg), for PM10 (particulate matter up to 10 micrometers in size), O3, CO2, CO, NO, NO2, HONO, HCN, NH3, OCS, DMS, CH4, and up to 48 non-methane organic compounds (NMOC) from the Tropical Forest and Fire Emissions Experiment (TROFFEE). TROFFEE used laboratory measurements followed by airborne and ground based field campaigns in Mato Grosso, Para, and Amazonas, Brazil during the 2004 Amazon dry season to quantify the emissions from pristine tropical forest and several plantations as well as the emissions, fuel consumption, and fire ecology of tropical deforestation fires. EFs were determined for 19 tropical deforestation fires in August and September, 2004. The combined output of these fires created a massive megaplume more than 500-km wide and covered a large area in Brazil, Bolivia, and Paraguay for about one month. For the megaplume, the EFs (reported in grams of compound emitted per kilogram of dry fuel (g/kg)) represented the effective emissions factor measured downwind from the source.There are two comma-delimited data files (.csv) and one text file (.txt) with this data set. The text file contains information regarding the fuel/fire sources, latitude and longitudes (also provided in the data files).
This data set provides derived emission factors (EFs), reported in grams of compound emitted per kilogram of dry fuel (g/kg), for PM10 (particulate matter up to 10 micrometers in size), O3, CO2, CO, NO, NO2, HONO, HCN, NH3, OCS, DMS, CH4, and up to 48 non-methane organic compounds (NMOC) from the Tropical Forest and Fire Emissions Experiment (TROFFEE). TROFFEE used laboratory measurements followed by airborne and ground based field campaigns in Mato Grosso, Para, and Amazonas, Brazil during the 2004 Amazon dry season to quantify the emissions from pristine tropical forest and several plantations as well as the emissions, fuel consumption, and fire ecology of tropical deforestation fires. EFs were determined for 19 tropical deforestation fires in August and September, 2004. The combined output of these fires created a massive megaplume more than 500-km wide and covered a large area in Brazil, Bolivia, and Paraguay for about one month. For the megaplume, the EFs (reported in grams of compound emitted per kilogram of dry fuel (g/kg)) represented the effective emissions factor measured downwind from the source.There are two comma-delimited data files (.csv) and one text file (.txt) with this data set. The text file contains information regarding the fuel/fire sources, latitude and longitudes (also provided in the data files).
ABSTRACT: This data set provides derived emission factors (EFs), reported in grams of compound emitted per kilogram of dry fuel (g/kg), for PM10 (particulate matter up to 10 micrometers in size), O3, CO2, CO, NO, NO2, HONO, HCN, NH3, OCS, DMS, CH4, and up to 48 non-methane organic compounds (NMOC) from the Tropical Forest and Fire Emissions Experiment (TROFFEE). TROFFEE used laboratory measurements followed by airborne and ground based field campaigns in Mato Grosso, Para, and Amazonas, Brazil during the 2004 Amazon dry season to quantify the emissions from pristine tropical forest and several plantations as well as the emissions, fuel consumption, and fire ecology of tropical deforestation fires. EFs were determined for 19 tropical deforestation fires in August and September, 2004. The combined output of these fires created a massive megaplume more than 500-km wide and covered a large area in Brazil, Bolivia, and Paraguay for about one month. For the megaplume, the EFs (reported in grams of compound emitted per kilogram of dry fuel (g/kg)) represented the effective emissions factor measured downwind from the source.There are two comma-delimited data files (.csv) and one text file (.txt) with this data set. The text file contains information regarding the fuel/fire sources, latitude and longitudes (also provided in the data files).
This data set provides the mean diurnal cycle of precipitation, near-surface thermodynamics, and surface fluxes generated from short-term forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF) model.The model outputs were 12- to 36-hour short-range forecasts, run at a triangular truncation of T319 and a vertical resolution of 60 levels, from each daily 1200 (UTC) analysis. The version of the forecast model used to prepare this data product was the operational ECMWF model in fall 2000, which included the tiled land-surface scheme (TESSEL) (Van den Hurk et al., 2000) and recent revisions to the convection, radiation, and cloud schemes described by Gregory et al., (2000). The ECMWF model was run for two Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) campaigns conducted in Rondonia, Brazil, during January and February of 1999: the Wet Season Atmospheric Mesoscale Campaign (WETAMC) and the Tropical Rainfall Measuring Mission (TRMM). See Silva Dias et al.,(2002) for additional information regarding the WETAMAC and TRMM campaigns. There are two comma-delimited data files with this data set: the ECMWF model output data and a file containing the mean hourly precipitation observations used to check the model output for biases.
This data set provides the mean diurnal cycle of precipitation, near-surface thermodynamics, and surface fluxes generated from short-term forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF) model.The model outputs were 12- to 36-hour short-range forecasts, run at a triangular truncation of T319 and a vertical resolution of 60 levels, from each daily 1200 (UTC) analysis. The version of the forecast model used to prepare this data product was the operational ECMWF model in fall 2000, which included the tiled land-surface scheme (TESSEL) (Van den Hurk et al., 2000) and recent revisions to the convection, radiation, and cloud schemes described by Gregory et al., (2000). The ECMWF model was run for two Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) campaigns conducted in Rondonia, Brazil, during January and February of 1999: the Wet Season Atmospheric Mesoscale Campaign (WETAMC) and the Tropical Rainfall Measuring Mission (TRMM). See Silva Dias et al.,(2002) for additional information regarding the WETAMAC and TRMM campaigns. There are two comma-delimited data files with this data set: the ECMWF model output data and a file containing the mean hourly precipitation observations used to check the model output for biases.
ABSTRACT: This data set provides the mean diurnal cycle of precipitation, near-surface thermodynamics, and surface fluxes generated from short-term forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF) model.The model outputs were 12- to 36-hour short-range forecasts, run at a triangular truncation of T319 and a vertical resolution of 60 levels, from each daily 1200 (UTC) analysis. The version of the forecast model used to prepare this data product was the operational ECMWF model in fall 2000, which included the tiled land-surface scheme (TESSEL) (Van den Hurk et al., 2000) and recent revisions to the convection, radiation, and cloud schemes described by Gregory et al., (2000). The ECMWF model was run for two Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) campaigns conducted in Rondonia, Brazil, during January and February of 1999: the Wet Season Atmospheric Mesoscale Campaign (WETAMC) and the Tropical Rainfall Measuring Mission (TRMM). See Silva Dias et al.,(2002) for additional information regarding the WETAMAC and TRMM campaigns. There are two comma-delimited data files with this data set: the ECMWF model output data and a file containing the mean hourly precipitation observations used to check the model output for biases.
Orientation of leaves of 10 different species
Orientation of leaves of 10 different species
ABSTRACT: Orientation of leaves of 10 different species
LAI estimates computed from unweighted openness by the CANOPY program from digitized canopy photographs
LAI estimates computed from unweighted openness by the CANOPY program from digitized canopy photographs
ABSTRACT: LAI estimates computed from unweighted openness by the CANOPY program from digitized canopy photographs
This data set provides local LAI maps for the selected measured sites in Canada. These derived maps may also be useful for validating other LAI maps over these same sites given that the areas are protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The data set may also be useful for monitoring changes in the land surface.The Leaf Area Index (LAI) maps are at 30-m resolution for the selected sites. LAI is defined here as half the total (all-sided) live foliage area per unit horizontal projected ground surface area. Overstory LAI corresponds to all tree foliage except for treeless areas where it corresponds to total foliage. The algorithms were developed from ground measurements and Landsat TM and ETM+ images (Fernandes et. al., 2003). A mask was developed using the Landsat ETM+/TM5 image and available land cover map to identify only those areas with land cover belonging to the sample land cover classes and with Landsat ETM+/TM5 spectral reflectance values that fell within the convex hull of the spectral reflectance values over the plots. LAI was mapped within the masked region using the Landsat ETM+/TM5 image and the developed transfer function. The final LAI map was scaled by a factor of 20 (offset 0). The LAI maps are in Tagged Image File Format (TIFF).
This data set provides local LAI maps for the selected measured sites in Canada. These derived maps may also be useful for validating other LAI maps over these same sites given that the areas are protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The data set may also be useful for monitoring changes in the land surface.The Leaf Area Index (LAI) maps are at 30-m resolution for the selected sites. LAI is defined here as half the total (all-sided) live foliage area per unit horizontal projected ground surface area. Overstory LAI corresponds to all tree foliage except for treeless areas where it corresponds to total foliage. The algorithms were developed from ground measurements and Landsat TM and ETM+ images (Fernandes et. al., 2003). A mask was developed using the Landsat ETM+/TM5 image and available land cover map to identify only those areas with land cover belonging to the sample land cover classes and with Landsat ETM+/TM5 spectral reflectance values that fell within the convex hull of the spectral reflectance values over the plots. LAI was mapped within the masked region using the Landsat ETM+/TM5 image and the developed transfer function. The final LAI map was scaled by a factor of 20 (offset 0). The LAI maps are in Tagged Image File Format (TIFF).
ABSTRACT: This data set provides local LAI maps for the selected measured sites in Canada. These derived maps may also be useful for validating other LAI maps over these same sites given that the areas are protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The data set may also be useful for monitoring changes in the land surface.The Leaf Area Index (LAI) maps are at 30-m resolution for the selected sites. LAI is defined here as half the total (all-sided) live foliage area per unit horizontal projected ground surface area. Overstory LAI corresponds to all tree foliage except for treeless areas where it corresponds to total foliage. The algorithms were developed from ground measurements and Landsat TM and ETM+ images (Fernandes et. al., 2003). A mask was developed using the Landsat ETM+/TM5 image and available land cover map to identify only those areas with land cover belonging to the sample land cover classes and with Landsat ETM+/TM5 spectral reflectance values that fell within the convex hull of the spectral reflectance values over the plots. LAI was mapped within the masked region using the Landsat ETM+/TM5 image and the developed transfer function. The final LAI map was scaled by a factor of 20 (offset 0). The LAI maps are in Tagged Image File Format (TIFF).
This data set provide local LAI maps for the Larose (Ontario) site in Canada. These derived maps may also be useful for validating other LAI maps over this same site given that the area is protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The dataset may also be useful for monitoring changes in the land surface. A complete description of producing the maps for the Larose site and the ground measurement campaign is provided in the companion document Larose2003FTReport.pdf.
This data set provide local LAI maps for the Larose (Ontario) site in Canada. These derived maps may also be useful for validating other LAI maps over this same site given that the area is protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The dataset may also be useful for monitoring changes in the land surface. A complete description of producing the maps for the Larose site and the ground measurement campaign is provided in the companion document Larose2003FTReport.pdf.
ABSTRACT: This data set provide local LAI maps for the Larose (Ontario) site in Canada. These derived maps may also be useful for validating other LAI maps over this same site given that the area is protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The dataset may also be useful for monitoring changes in the land surface. A complete description of producing the maps for the Larose site and the ground measurement campaign is provided in the companion document Larose2003FTReport.pdf.
Carbon and nitrogen concentrations of fresh forest foliage were determined. Results were used to calibrate Visible/NIR reflectance for estimation of canopy carbon and nitrogen.
Carbon and nitrogen concentrations of fresh forest foliage were determined. Results were used to calibrate Visible/NIR reflectance for estimation of canopy carbon and nitrogen.
ABSTRACT: Carbon and nitrogen concentrations of fresh forest foliage were determined. Results were used to calibrate Visible/NIR reflectance for estimation of canopy carbon and nitrogen.
Measurements of leaf photosynthesis rates measured with Li-Cor LI-6200
Measurements of leaf photosynthesis rates measured with Li-Cor LI-6200
ABSTRACT: Measurements of leaf photosynthesis rates measured with Li-Cor LI-6200
The variability of bi-directional spectral reflectance of cut conifer foliage between age classes, species and sites, measured by LICOR
The variability of bi-directional spectral reflectance of cut conifer foliage between age classes, species and sites, measured by LICOR
ABSTRACT: The variability of bi-directional spectral reflectance of cut conifer foliage between age classes, species and sites, measured by LICOR
Absolute (diffuse & specular) reflectance of leaves measured in the lab by Perkin-Elmer spectrophotometer to aid in understanding remotely sensed spectral data
Absolute (diffuse & specular) reflectance of leaves measured in the lab by Perkin-Elmer spectrophotometer to aid in understanding remotely sensed spectral data
ABSTRACT: Absolute (diffuse & specular) reflectance of leaves measured in the lab by Perkin-Elmer spectrophotometer to aid in understanding remotely sensed spectral data
The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) is a NASA project to map disturbance, regrowth, and permanent forest conversion across the continent (Masek et al., 2006). The LEDAPS processes Landsat imagery to surface reflectance, using atmospheric correction routines developed for the Terra MODIS instrument (Vermote et al., 1997). The original LEDAPS software was developed at NASA GSFC by Eric Vermote, Nazmi Saleous, Jonathan Kutler, and Robert Wolfe with support from the NASA Terrestrial Ecology program (PI: Jeff Masek). This version was adapted by Dr. Feng Gao. It is a stand-alone version of Landsat 1T calibration, TOA reflectance, cloud masking, and atmospheric correction preprocessing chain. This software is designed to work with the standard web-enabled EROS L1T product for Landsat-5 and Landsat-7. Version 2, the latest version, was updated to support both old and new metadata formats for Landsat L1T products. This change was necessitated when USGS EROS changed their metadata format in August 2012.The source code, installation and run instructions, and required ancillary data files are provided.  Ancillary data for 1980 to 2010 are NCEP (National Centers for Environmental Prediction) water vapor data and TOMS (Total Ozone Mapping Spectrometer) ozone data.  The 2011 and 2012  ancillary data additions are also provided. To update your existing ancillary data, you only need to download recent updates.The ancillary data are updated and maintained on a monthly basis by the Hydrology and Remote Sensing Laboratory, USDA-ARS by Feng Gao [ftp://hrsl.arsusda.gov/pub/fgao/Ledaps/ ].
The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) is a NASA project to map disturbance, regrowth, and permanent forest conversion across the continent (Masek et al., 2006). The LEDAPS processes Landsat imagery to surface reflectance, using atmospheric correction routines developed for the Terra MODIS instrument (Vermote et al., 1997). The original LEDAPS software was developed at NASA GSFC by Eric Vermote, Nazmi Saleous, Jonathan Kutler, and Robert Wolfe with support from the NASA Terrestrial Ecology program (PI: Jeff Masek). This version was adapted by Dr. Feng Gao. It is a stand-alone version of Landsat 1T calibration, TOA reflectance, cloud masking, and atmospheric correction preprocessing chain. This software is designed to work with the standard web-enabled EROS L1T product for Landsat-5 and Landsat-7. Version 2, the latest version, was updated to support both old and new metadata formats for Landsat L1T products. This change was necessitated when USGS EROS changed their metadata format in August 2012.The source code, installation and run instructions, and required ancillary data files are provided.  Ancillary data for 1980 to 2010 are NCEP (National Centers for Environmental Prediction) water vapor data and TOMS (Total Ozone Mapping Spectrometer) ozone data.  The 2011 and 2012  ancillary data additions are also provided. To update your existing ancillary data, you only need to download recent updates.The ancillary data are updated and maintained on a monthly basis by the Hydrology and Remote Sensing Laboratory, USDA-ARS by Feng Gao [ftp://hrsl.arsusda.gov/pub/fgao/Ledaps/ ].
ABSTRACT: The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) is a NASA project to map disturbance, regrowth, and permanent forest conversion across the continent (Masek et al., 2006). The LEDAPS processes Landsat imagery to surface reflectance, using atmospheric correction routines developed for the Terra MODIS instrument (Vermote et al., 1997). The original LEDAPS software was developed at NASA GSFC by Eric Vermote, Nazmi Saleous, Jonathan Kutler, and Robert Wolfe with support from the NASA Terrestrial Ecology program (PI: Jeff Masek). This version was adapted by Dr. Feng Gao. It is a stand-alone version of Landsat 1T calibration, TOA reflectance, cloud masking, and atmospheric correction preprocessing chain. This software is designed to work with the standard web-enabled EROS L1T product for Landsat-5 and Landsat-7. Version 2, the latest version, was updated to support both old and new metadata formats for Landsat L1T products. This change was necessitated when USGS EROS changed their metadata format in August 2012.The source code, installation and run instructions, and required ancillary data files are provided.  Ancillary data for 1980 to 2010 are NCEP (National Centers for Environmental Prediction) water vapor data and TOMS (Total Ozone Mapping Spectrometer) ozone data.  The 2011 and 2012  ancillary data additions are also provided. To update your existing ancillary data, you only need to download recent updates.The ancillary data are updated and maintained on a monthly basis by the Hydrology and Remote Sensing Laboratory, USDA-ARS by Feng Gao [ftp://hrsl.arsusda.gov/pub/fgao/Ledaps/ ].
ABSTRACT: The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) is a NASA project to map disturbance, regrowth, and permanent forest conversion across the continent (Masek et al., 2006). The LEDAPS processes Landsat imagery to surface reflectance, using atmospheric correction routines developed for the Terra MODIS instrument (Vermote et al., 1997). The original LEDAPS software was developed at NASA GSFC by Eric Vermote, Nazmi Saleous, Jonathan Kutler, and Robert Wolfe with support from the NASA Terrestrial Ecology program (PI: Jeff Masek). This version was adapted by Dr. Feng Gao. It is a stand-alone version of Landsat 1T calibration, TOA reflectance, cloud masking, and atmospheric correction preprocessing chain. This version is designed to work with the standard web enabled EROS L1T product for Landsat-5 and Landsat-7. The source code, installation and run instructions, and required ancillary data files are provided.  Ancillary data for 1980 to 2010 are NCEP (National Centers for Environmental Prediction) water vapor data and TOMS (Total Ozone Mapping Spectrometer) ozone data.  The 2011 ancillary data additions are also provided. To update your existing ancillary data, you only need to download recent updates.The ancillary data are updated and maintained on a monthly basis by the Hydrology and Remote Sensing Laboratory, USDA-ARS by Feng Gao [ftp://hrsl.arsusda.gov/pub/fgao/Ledaps/ ].
ABSTRACT: The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) is a NASA project to map disturbance, regrowth, and permanent forest conversion across the continent (Masek et al., 2006). The LEDAPS processes Landsat imagery to surface reflectance, using atmospheric correction routines developed for the Terra MODIS instrument (Vermote et al., 1997). The original LEDAPS software was developed at NASA GSFC by Eric Vermote, Nazmi Saleous, Jonathan Kutler, and Robert Wolfe with support from the NASA Terrestrial Ecology program (PI: Jeff Masek). This version was adapted by Dr. Feng Gao. It is a stand-alone version of Landsat 1T calibration, TOA reflectance, cloud masking, and atmospheric correction preprocessing chain. This version is designed to work with the standard web enabled EROS L1T product for Landsat-5 and Landsat-7. The source code, installation and run instructions, and required ancillary data files are provided.  Ancillary data for 1980 to 2010 are NCEP (National Centers for Environmental Prediction) water vapor data and TOMS (Total Ozone Mapping Spectrometer) ozone data.  The 2011 ancillary data additions are also provided. To update your existing ancillary data, you only need to download recent updates.The ancillary data are updated and maintained on a monthly basis by the Hydrology and Remote Sensing Laboratory, USDA-ARS by Feng Gao [ftp://hrsl.arsusda.gov/pub/fgao/Ledaps/ ].
ABSTRACT: The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) is a NASA project to map disturbance, regrowth, and permanent forest conversion across the continent (Masek et al., 2006). The LEDAPS processes Landsat imagery to surface reflectance, using atmospheric correction routines developed for the Terra MODIS instrument (Vermote et al., 1997). The original LEDAPS software was developed at NASA GSFC by Eric Vermote, Nazmi Saleous, Jonathan Kutler, and Robert Wolfe with support from the NASA Terrestrial Ecology program (PI: Jeff Masek). This version was adapted by Dr. Feng Gao. It is a stand-alone version of Landsat 1T calibration, TOA reflectance, cloud masking, and atmospheric correction preprocessing chain. This version is designed to work with the standard web enabled EROS L1T product for Landsat-5 and Landsat-7. The source code, installation and run instructions, and required ancillary data files are provided.  Ancillary data for 1980 to 2010 are NCEP (National Centers for Environmental Prediction) water vapor data and TOMS (Total Ozone Mapping Spectrometer) ozone data.  The 2011 ancillary data additions are also provided. To update your existing ancillary data, you only need to download recent updates.The ancillary data are updated and maintained on a monthly basis by the Hydrology and Remote Sensing Laboratory, USDA-ARS by Feng Gao [ftp://hrsl.arsusda.gov/pub/fgao/Ledaps/ ].
LDAR Raw data consists of level 1 data, and contains the date, time and spatial location in three dimensions of an individual event (K change).
LDAR Raw data consists of level 1 data, and contains the date, time and spatial location in three dimensions of an individual event (K change).
LDAR Raw data consists of level 1 data, and contains the date, time and spatial location in three dimensions of an individual event (K change).
Images created approximately every second from the LIS sensor used to facilitate the scene geo-location.
Images created approximately every second from the LIS sensor used to facilitate the scene geo-location.
Images created approximately every second from the LIS sensor used to facilitate the scene geo-location.
The Lightning Imaging Sensor (LIS) is an instrument on the Tropical Rainfall Measurement Mission satellite (TRMM) used to detect the distribution and variability of total lightning occurring in the Earth's tropical and subtropical regions. This information can be used for severe storm detection and analysis, and also for lightning-atmosphere interaction studies. The LIS instrument makes measurements during both day and night with high detection efficiency.
The Lightning Imaging Sensor (LIS) is an instrument on the Tropical Rainfall Measurement Mission satellite (TRMM) used to detect the distribution and variability of total lightning occurring in the Earth's tropical and subtropical regions. This information can be used for severe storm detection and analysis, and also for lightning-atmosphere interaction studies. The LIS instrument makes measurements during both day and night with high detection efficiency.
The Lightning Imaging Sensor (LIS) is an instrument on the Tropical Rainfall Measurement Mission satellite (TRMM) used to detect the distribution and variability of total lightning occurring in the Earth's tropical and subtropical regions. This information can be used for severe storm detection and analysis, and also for lightning-atmosphere interaction studies. The LIS instrument makes measurements during both day and night with high detection efficiency.
The Limb Infrared Monitor of the Stratosphere (LIMS) version 6 Level-2 data product consists of daily, geolocated, vertical profiles of temperature, geopotential height, and mixing ratios of ozone (O3), nitrogen dioxide (NO2), water vapor (H2O), and nitric acid (HNO3). These data supersede the previous version 5 product, known as the LIMS Inverted Profile Archival Tape (LAIPAT). Version 6 data have improved spatial resolution in both the vertical and along the orbital track, as well as improved accuracy and precision of measured geophysical parameters. The data files are in an ASCII text format and each data file is accompanied by three data screening files. The LIMS instrument was launched on the Nimbus-7 satellite and was operational from 25 October 1978 until May 28, 1979.

Parameters contained in the data files include the following:
Variable Name|Description|Units
O3|Ozone (O<sub>3</sub>) Volume Mixing Ratio|mol/mol
NO2|Nitrogen Dioxide (NO<sub>2</sub>) Volume Mixing Ratio|mol/mol
H2O|Water Vapor (H<sub>2</sub>O) Volume Mixing Ratio|mol/mol
HNO3|Nitric Acid (HNO<sub>3</sub>) Volume Mixing Ratio|mol/mol
T|Temperature Profile|K
GPH|Geopotential Height|m
End of parameter information
The Limb Infrared Monitor of the Stratosphere (LIMS) version 6 Level-3 data product consists of daily, 2 degree zonal Fourier coefficients, of vertical profiles of temperature, geopotential height, and mixing ratios of ozone (O3), nitrogen dioxide (NO2), water vapor (H2O), and nitric acid (HNO3). The data are on 28 pressure levels, equally spaced logarithmically, between 316 hPa and 0.01 hPa. These data supercede the previous version 5 products, known as the LIMS Map Archival Tape (LAMAT) and the LIMS Seasonal Map Archival Tape (LASMAT). Version 6 data have improved accuracy and precision of measured geophysical parameters. The data files are in an ASCII text format. The LIMS instrument was launched on the Nimbus-7 satellite and was operational from 25 October 1978 until May 28, 1979.

Parameters contained in the data files include the following:
Variable Name|Description|Units
O3|Ozone (O<sub>3</sub>) Volume Mixing Ratio|mol/mol
NO2|Nitrogen Dioxide (NO<sub>2</sub>) Volume Mixing Ratio|mol/mol
H2O|Water Vapor (H<sub>2</sub>O) Volume Mixing Ratio|mol/mol
HNO3|Nitric Acid (HNO<sub>3</sub>) Volume Mixing Ratio|mol/mol
T|Temperature Profile|K
GPH|Geopotential Height|m
End of parameter information
This model product contains the source codes for version 1 of the individual-based forest ecosystem biogeochemistry model LINKAGES and two subsequent versions as well as example input and output data. LINKAGES predicts long-term structure and dynamics of forest ecosystems as constrained by nitrogen availability, climate, and soil moisture. Model simulations compare favorably to field data from different geographic areas worldwide. LINKAGES, written in FORTRAN and provided in ASCII format, simulates birth, growth, and death of all trees greater than 1.43-cm dbh. Litter fall and decomposition are also simulated. Sunlight is the driving variable. Growing season degree days, soil water availability, and AET are calculated from precipitation, temperature, soil field moisture capacity, and wilting point. Decomposition and soil N availability are calculated from organic matter quantity and carbon chemistry, evapotranspiration, and degree of canopy closure. Light availability to each tree is a function of leaf biomass of taller trees. Degree days and availabilities of light and water constrain species reproduction. These variables plus soil N constrain tree growth and carbon accumulation in biomass. Tree death probability increases with age and slow growth. Leaf, root, and woody litter are returned to the soil at the end of each year to decay the following year. Climatic and forest data for eastern North America and New South Wales are provided as example model inputs. Modelers may use their own site data within any version of LINKAGES. Example model output is also provided.
This model product contains the source codes for version 1 of the individual-based forest ecosystem biogeochemistry model LINKAGES and two subsequent versions as well as example input and output data. LINKAGES predicts long-term structure and dynamics of forest ecosystems as constrained by nitrogen availability, climate, and soil moisture. Model simulations compare favorably to field data from different geographic areas worldwide. LINKAGES, written in FORTRAN and provided in ASCII format, simulates birth, growth, and death of all trees greater than 1.43-cm dbh. Litter fall and decomposition are also simulated. Sunlight is the driving variable. Growing season degree days, soil water availability, and AET are calculated from precipitation, temperature, soil field moisture capacity, and wilting point. Decomposition and soil N availability are calculated from organic matter quantity and carbon chemistry, evapotranspiration, and degree of canopy closure. Light availability to each tree is a function of leaf biomass of taller trees. Degree days and availabilities of light and water constrain species reproduction. These variables plus soil N constrain tree growth and carbon accumulation in biomass. Tree death probability increases with age and slow growth. Leaf, root, and woody litter are returned to the soil at the end of each year to decay the following year. Climatic and forest data for eastern North America and New South Wales are provided as example model inputs. Modelers may use their own site data within any version of LINKAGES. Example model output is also provided.
ABSTRACT: This model product contains the source codes for version 1 of the individual-based forest ecosystem biogeochemistry model LINKAGES and two subsequent versions as well as example input and output data. LINKAGES predicts long-term structure and dynamics of forest ecosystems as constrained by nitrogen availability, climate, and soil moisture. Model simulations compare favorably to field data from different geographic areas worldwide. LINKAGES, written in FORTRAN and provided in ASCII format, simulates birth, growth, and death of all trees greater than 1.43-cm dbh. Litter fall and decomposition are also simulated. Sunlight is the driving variable. Growing season degree days, soil water availability, and AET are calculated from precipitation, temperature, soil field moisture capacity, and wilting point. Decomposition and soil N availability are calculated from organic matter quantity and carbon chemistry, evapotranspiration, and degree of canopy closure. Light availability to each tree is a function of leaf biomass of taller trees. Degree days and availabilities of light and water constrain species reproduction. These variables plus soil N constrain tree growth and carbon accumulation in biomass. Tree death probability increases with age and slow growth. Leaf, root, and woody litter are returned to the soil at the end of each year to decay the following year. Climatic and forest data for eastern North America and New South Wales are provided as example model inputs. Modelers may use their own site data within any version of LINKAGES. Example model output is also provided.
The product is a 0.5 deg x 0.5 deg gridded composite of total (IC+CG) lightning bulk production, expressed as a flash density (fl/km2/yr).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations, as of the product generation date (09/01/06), have been applied.
The product is a 0.5 deg x 0.5 deg gridded composite of total (IC+CG) lightning bulk production, expressed as a flash density (fl/km2/yr).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations, as of the product generation date (09/01/06), have been applied.
The product is a 0.5 deg x 0.5 deg gridded composite of total (IC+CG) lightning bulk production, expressed as a flash density (fl/km2/yr).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations, as of the product generation date (09/01/06), have been applied.
The product is a 0.5 deg x 0.5 deg gridded composite of total (IC+CG) lightning bulk production, expressed as a flash rate density (fl/km2/yr).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations, as of the product generation date (09/01/06), have been applied.
The product is a 0.5 deg x 0.5 deg gridded composite of total (IC+CG) lightning bulk production, expressed as a flash rate density (fl/km2/yr).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations, as of the product generation date (09/01/06), have been applied.
The product is a 0.5 deg x 0.5 deg gridded composite of total (IC+CG) lightning bulk production, expressed as a flash rate density (fl/km2/yr).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations, as of the product generation date (09/01/06), have been applied.
The product is a 0.5 deg x 0.5 deg gridded composite of total (IC+CG) lightning bulk production, expressed as a flash density (fl/km2/yr).  Contains monthly and seasonal climatologies.  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations, as of the product generation date (09/01/06), have been applied.
The product is a 0.5 deg x 0.5 deg gridded composite of total (IC+CG) lightning bulk production, expressed as a flash density (fl/km2/yr).  Contains monthly and seasonal climatologies.  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations, as of the product generation date (09/01/06), have been applied.
The product is a 0.5 deg x 0.5 deg gridded composite of total (IC+CG) lightning bulk production, expressed as a flash density (fl/km2/yr).  Contains monthly and seasonal climatologies.  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations, as of the product generation date (09/01/06), have been applied.
The product is a 2.5 deg x 2.5 deg gridded composite of climatological total (IC+CG) lightning bulk production as a function of local hour, expressed as a flash rate density (fl/km2/yr).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations have been applied.
The product is a 2.5 deg x 2.5 deg gridded composite of climatological total (IC+CG) lightning bulk production as a function of local hour, expressed as a flash rate density (fl/km2/yr).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations have been applied.
The product is a 2.5 deg x 2.5 deg gridded composite of climatological total (IC+CG) lightning bulk production as a function of local hour, expressed as a flash rate density (fl/km2/yr).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations have been applied.
The product is a 2.5 deg x 2.5 deg gridded composite of climatological total (IC+CG) lightning bulk production as a function of day of year, expressed as a flash rate density (fl/km2/day).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations have been applied.
The product is a 2.5 deg x 2.5 deg gridded composite of climatological total (IC+CG) lightning bulk production as a function of day of year, expressed as a flash rate density (fl/km2/day).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations have been applied.
The product is a 2.5 deg x 2.5 deg gridded composite of climatological total (IC+CG) lightning bulk production as a function of day of year, expressed as a flash rate density (fl/km2/day).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations have been applied.
The product is a 2.5 deg x 2.5 deg gridded composite of daily time-series of total (IC+CG) lightning bulk production, expressed as a flash rate density (fl/km2/day), representing a climatological year from the OTD, LIS and combined OTD/LIS missions.  It is similar to the Low Res Annual Climatologies (LRAC) product but uses the space-and-time smoothing procedure employed for the Low Resolution Time Series (LRTS) daily gridded products, hence, it is appropriate as a baseline against which to compute anomalies in the LRTS product.
The product is a 2.5 deg x 2.5 deg gridded composite of daily time-series of total (IC+CG) lightning bulk production, expressed as a flash rate density (fl/km2/day), representing a climatological year from the OTD, LIS and combined OTD/LIS missions.  It is similar to the Low Res Annual Climatologies (LRAC) product but uses the space-and-time smoothing procedure employed for the Low Resolution Time Series (LRTS) daily gridded products, hence, it is appropriate as a baseline against which to compute anomalies in the LRTS product.
The product is a 2.5 deg x 2.5 deg gridded composite of daily time-series of total (IC+CG) lightning bulk production, expressed as a flash rate density (fl/km2/day), representing a climatological year from the OTD, LIS and combined OTD/LIS missions.  It is similar to the Low Res Annual Climatologies (LRAC) product but uses the space-and-time smoothing procedure employed for the Low Resolution Time Series (LRTS) daily gridded products, hence, it is appropriate as a baseline against which to compute anomalies in the LRTS product.
The product is a 2.5 deg x 2.5 deg gridded composite of climatological total (IC+CG) lightning bulk production as a function of local hour, expressed as a flash rate density (fl/km2/hr).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations have been applied.
The product is a 2.5 deg x 2.5 deg gridded composite of climatological total (IC+CG) lightning bulk production as a function of local hour, expressed as a flash rate density (fl/km2/hr).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations have been applied.
The product is a 2.5 deg x 2.5 deg gridded composite of climatological total (IC+CG) lightning bulk production as a function of local hour, expressed as a flash rate density (fl/km2/hr).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations have been applied.
The product is a 2.5 deg x 2.5 deg gridded composite of total (IC+CG) lightning bulk production, expressed as a flash rate density (fl/km2/yr).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations have been applied.
The product is a 2.5 deg x 2.5 deg gridded composite of total (IC+CG) lightning bulk production, expressed as a flash rate density (fl/km2/yr).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations have been applied.
The product is a 2.5 deg x 2.5 deg gridded composite of total (IC+CG) lightning bulk production, expressed as a flash rate density (fl/km2/yr).  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross normalizations have been applied.
The product is a 2.5 deg x 2.5 deg gridded composite of total (IC+CG) lightning bulk production, expressed as a flash rate density (fl/km2/yr) Monthly Time Series.  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross-normalizations, as of the product generation date (09/01/06), have been applied.
The product is a 2.5 deg x 2.5 deg gridded composite of total (IC+CG) lightning bulk production, expressed as a flash rate density (fl/km2/yr) Monthly Time Series.  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross-normalizations, as of the product generation date (09/01/06), have been applied.
The product is a 2.5 deg x 2.5 deg gridded composite of total (IC+CG) lightning bulk production, expressed as a flash rate density (fl/km2/yr) Monthly Time Series.  Climatologies from the OTD and LIS missions are included, as well as a combined OTD+LIS climatology and supporting base data (flash counts and viewing times).  Best-available detection efficiency corrections and instrument cross-normalizations, as of the product generation date (09/01/06), have been applied.
The product is a 2.5 deg x 2.5 deg gridded composite of daily time-series of total (IC+CG) lightning bulk production, expressed as a flash rate density (fl/km2/day).  Separate gridded time series from the OTD and LIS missions are included, as well as a combined OTD+LIS product.  Lowpass temporal filtering (110-day for OTD, 98-day for LIS, 110-day for combined) and spatial moving average filtering (7.5 deg) have been applied, as well as best-available detection efficiency corrections and instrument cross-normalizations, as of the product generation date (09/01/06).
The product is a 2.5 deg x 2.5 deg gridded composite of daily time-series of total (IC+CG) lightning bulk production, expressed as a flash rate density (fl/km2/day).  Separate gridded time series from the OTD and LIS missions are included, as well as a combined OTD+LIS product.  Lowpass temporal filtering (110-day for OTD, 98-day for LIS, 110-day for combined) and spatial moving average filtering (7.5 deg) have been applied, as well as best-available detection efficiency corrections and instrument cross-normalizations, as of the product generation date (09/01/06).
The product is a 2.5 deg x 2.5 deg gridded composite of daily time-series of total (IC+CG) lightning bulk production, expressed as a flash rate density (fl/km2/day).  Separate gridded time series from the OTD and LIS missions are included, as well as a combined OTD+LIS product.  Lowpass temporal filtering (110-day for OTD, 98-day for LIS, 110-day for combined) and spatial moving average filtering (7.5 deg) have been applied, as well as best-available detection efficiency corrections and instrument cross-normalizations, as of the product generation date (09/01/06).
ABSTRACT: Various aspects of primary production of a variety of plant species found in natural temperate biomes were compiled from literature and presented for use with process-based ecosystem simulation models or ecosystem studies.  Information was selected according to the input parameter needs of the BIOME-BGC process-based simulation model.
ABSTRACT: Various aspects of primary production of a variety of plant species found in natural temperate biomes were compiled from literature and presented for use with process-based ecosystem simulation models or ecosystem studies.  Information was selected according to the input parameter needs of the BIOME-BGC process-based simulation model.
ABSTRACT: Various aspects of primary production of a variety of plant species found in natural temperate biomes were compiled from literature and presented for use with process-based ecosystem simulation models or ecosystem studies.  Information was selected according to the input parameter needs of the BIOME-BGC process-based simulation model.
Level 3 parameters from HIRS/2 and MSU radiances using the Improved Initialization Inversion (3I) classification retrieval scheme by the Laboratoire de  Meteorologie Dynamique (Ecole Polytechnique) averaged over 5 days and mapped on to a 1x1 degree grid
Level 3 parameters from HIRS/2 and MSU radiances using the Improved 
            Initialization Inversion (3I) classification retrieval scheme by the Laboratoire
            de  Meteorologie Dynamique (Ecole Polytechnique) averaged over 5 days and
            mapped on to a 1x1 degree grid
Level 3 parameters from HIRS/2 and MSU radiances using the Improved Initialization Inversion (3I) classification retrieval scheme by the Laboratoire de Meteorologie Dynamique (Ecole Polytechnique) averaged over 5 days and mapped on to a 1x1 degree grid
Level 3 parameters from HIRS/2 and MSU radiances using the Improved Initialization Inversion (3I) classification retrieval scheme by the Laboratoire de  Meteorologie Dynamique (Ecole Polytechnique) averaged over 5 days and mapped on to a 1x1 degree grid
Level 3 parameters from HIRS/2 and MSU radiances using the Improved Initialization Inversion (3I) classification retrieval scheme by the Laboratoire de Meteorologie Dynamique (Ecole Polytechnique) averaged over 5 days and mapped on to a 1x1 degree grid
Level 3 parameters from HIRS/2 and MSU radiances using the Improved Initialization Inversion (3I) classification retrieval scheme by the Laboratoire de Meteorologie Dynamique (Ecole Polytechnique) averaged over 5 days and mapped on to a 1x1 degree grid
Average incoming longwave radiation measured by University of Nebraska
Average incoming longwave radiation measured by University of Nebraska
ABSTRACT: Average incoming longwave radiation measured by University of Nebraska
The Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 2 data 

set consists of country-level estimates of urban population, rural population, total population and land area country-wide and in LECZs for 

years 1990, 2000, 2010, and 2100. The LECZs were derived from Shuttle Radar Topography Mission (SRTM), 3 arc second (~90m) data which were 

post processed by ISciences LLC to include only elevations less than 20m contiguous to coastlines; and to supplement SRTM data in northern 

and southern latitudes. The population and land area statistics presented herein are summarized at the low coastal elevations of less than 

or equal to 1m, 3m, 5m, 7m, 9m, 10m, 12m, and 20m. Additionally, estimates are provided for elevations > 20m, and nationally. The spatial 

coverage of this data set includes 202 of the 232 countries and statistical areas delineated in the Gridded Rural-Urban Mapping Project 

version 1 (GRUMPv1) dataset. The 30 omitted areas were not included because they were landlocked, or otherwise lacked coastal features. 

This data set makes use of the population inputs of GRUMPv1 allocated at 3 arc seconds to match the SRTM elevations, and at 30 arc seconds 

resolution in order to reflect uncertainty levels in the product resulting from the interplay of input population data resolutions (based 

on census units) and the elevation data.. Urban and rural areas are differentiated by the GRUMPv1 Urban Extents. See data set documentation 

for specifics on the methodologies used. This data set is produced by the Columbia University Center for International Earth Science 

Information Network (CIESIN).
The Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 2 data 

set consists of country-level estimates of urban population, rural population, total population and land area country-wide and in LECZs for 

years 1990, 2000, 2010, and 2100. The LECZs were derived from Shuttle Radar Topography Mission (SRTM), 3 arc second (~90m) data which were 

post processed by ISciences LLC to include only elevations less than 20m contiguous to coastlines; and to supplement SRTM data in northern 

and southern latitudes. The population and land area statistics presented herein are summarized at the low coastal elevations of less than 

or equal to 1m, 3m, 5m, 7m, 9m, 10m, 12m, and 20m. Additionally, estimates are provided for elevations > 20m, and nationally. The spatial 

coverage of this data set includes 202 of the 232 countries and statistical areas delineated in the Gridded Rural-Urban Mapping Project 

version 1 (GRUMPv1) dataset. The 30 omitted areas were not included because they were landlocked, or otherwise lacked coastal features. 

This data set makes use of the population inputs of GRUMPv1 allocated at 3 arc seconds to match the SRTM elevations, and at 30 arc seconds 

resolution in order to reflect uncertainty levels in the product resulting from the interplay of input population data resolutions (based 

on census units) and the elevation data.. Urban and rural areas are differentiated by the GRUMPv1 Urban Extents. See data set documentation 

for specifics on the methodologies used. This data set is produced by the Columbia University Center for International Earth Science 

Information Network (CIESIN).
The Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 2 data 

set consists of country-level estimates of urban population, rural population, total population and land area country-wide and in LECZs for 

years 1990, 2000, 2010, and 2100. The LECZs were derived from Shuttle Radar Topography Mission (SRTM), 3 arc second (~90m) data which were 

post processed by ISciences LLC to include only elevations less than 20m contiguous to coastlines; and to supplement SRTM data in northern 

and southern latitudes. The population and land area statistics presented herein are summarized at the low coastal elevations of less than 

or equal to 1m, 3m, 5m, 7m, 9m, 10m, 12m, and 20m. Additionally, estimates are provided for elevations > 20m, and nationally. The spatial 

coverage of this data set includes 202 of the 232 countries and statistical areas delineated in the Gridded Rural-Urban Mapping Project 

version 1 (GRUMPv1) dataset. The 30 omitted areas were not included because they were landlocked, or otherwise lacked coastal features. 

This data set makes use of the population inputs of GRUMPv1 allocated at 3 arc seconds to match the SRTM elevations, and at 30 arc seconds 

resolution in order to reflect uncertainty levels in the product resulting from the interplay of input population data resolutions (based 

on census units) and the elevation data.. Urban and rural areas are differentiated by the GRUMPv1 Urban Extents. See data set documentation 

for specifics on the methodologies used. This data set is produced by the Columbia University Center for International Earth Science 

Information Network (CIESIN).
The Low Elevation Coastal Zone (LECZ) Urban-Rural Estimates consists of country-level estimates of 

urban, rural and total population and land area 

country-wide and in the LECZ, if applicable. Additionally, the dataset provides the number of urban extents, their population and land area 

that intersect the LECZ, by city-size population 

classifications of less than 100,000, 100,000 to 500,000, 500,000 to 1,000,000, 1,000,000 to 5,000,000, and 5,000,000 +. All estimates are 

based on GRUMP alpha data products. The LECZ was 

generated using SRTM Digital Elevation Model data and includes all land area that is contiguous with the coast and 10 meters or less in 

elevation. All grids used for population, land area, 

urban mask, and LECZ were of 1 km (30 arc-second) resolution. This dataset is produced by the Columbia University Center for International 

Earth Science Information Network (CIESIN) in 

collaboration with the International Institute for Environment and Development (IIED).
The Low Elevation Coastal Zone (LECZ) Urban-Rural Estimates consists of country-level estimates of 

urban, rural and total population and land area 

country-wide and in the LECZ, if applicable. Additionally, the dataset provides the number of urban extents, their population and land area 

that intersect the LECZ, by city-size population 

classifications of less than 100,000, 100,000 to 500,000, 500,000 to 1,000,000, 1,000,000 to 5,000,000, and 5,000,000 +. All estimates are 

based on GRUMP alpha data products. The LECZ was 

generated using SRTM Digital Elevation Model data and includes all land area that is contiguous with the coast and 10 meters or less in 

elevation. All grids used for population, land area, 

urban mask, and LECZ were of 1 km (30 arc-second) resolution. This dataset is produced by the Columbia University Center for International 

Earth Science Information Network (CIESIN) in 

collaboration with the International Institute for Environment and Development (IIED).
The Low Elevation Coastal Zone (LECZ) Urban-Rural Estimates consists of country-level estimates of 

urban, rural and total population and land area 

country-wide and in the LECZ, if applicable. Additionally, the dataset provides the number of urban extents, their population and land area 

that intersect the LECZ, by city-size population 

classifications of less than 100,000, 100,000 to 500,000, 500,000 to 1,000,000, 1,000,000 to 5,000,000, and 5,000,000 +. All estimates are 

based on GRUMP alpha data products. The LECZ was 

generated using SRTM Digital Elevation Model data and includes all land area that is contiguous with the coast and 10 meters or less in 

elevation. All grids used for population, land area, 

urban mask, and LECZ were of 1 km (30 arc-second) resolution. This dataset is produced by the Columbia University Center for International 

Earth Science Information Network (CIESIN) in 

collaboration with the International Institute for Environment and Development (IIED).
This Level 3 (gridded) data set’s land surface parameters, surface soil moisture, land surface (skin) temperature, and vegetation water content, are derived from passive microwave remote sensing data from the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E), using the Land Parameter Retrieval Model (LPRM). There are two files per day, one ascending (daytime) and one descending (nighttime), archived as two different products. This document is for the daytime product. The data set covers the period from June 2002 to October 2011 (when the AMSR-E on the NASA EOS Aqua satellite stopped producing data due to a problem with the rotation of its antenna), at a spatial resolution of 0.25 degree. The data are stored in netCDF format.
                   
                   The LPRM is based on a forward radiative transfer model to retrieve surface soil moisture and vegetation optical depth. The land surface temperature is derived separately from the AMSR-E's Ka-band (36.5 GHz). A unique feature of this method is that it can be applied at any microwave frequency, making it very suitable to exploit all the available passive microwave data from various satellites.
                   
                   Input data are from the AMSR-E resampled brightness temperatures (AE_L2A) product, daytime passes, as processed using LPRM (i.e., LPRM/AMSR-E/Aqua L2B product, GES_DISC_LPRM_AMSRE_SOILM2_V002).
This Level 3 (gridded) root-zone soil moisture product is derived via the assimilation of Land Parameter Retrieval Model (LPRM)/Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E)/NASA EOS Aqua surface soil moisture retrievals into the 2-Layer Palmer Water Balance Model, using a 1-dimensional, 30-member Ensemble Kalman filter (EnKF). The 2-Layer Palmer Water Balance Model was forced with meteorological forcing data obtained from the Air Force Weather Agency (AFWA). The EnKF seeks to (1) optimally combine soil moisture information derived from model forecast and satellite retrieval and (2) vertically extrapolate surface soil moisture retrievals into deeper root zone soil moisture predictions. There is one file per day (nighttime). The data set covers the period from June 2002 to December 2010, at a spatial resolution of 0.25 degree. The data are stored in netCDF format.
This Level 3 (gridded) data set’s land surface parameters, surface soil moisture, land surface (skin) temperature, and vegetation water content, are derived from passive microwave remote sensing data from the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E), using the Land Parameter Retrieval Model (LPRM). There are two files per day, one ascending (daytime) and one descending (nighttime), archived as two different products. This document is for the nighttime product. The data set covers the period from June 2002 to October 2011 (when the AMSR-E on the NASA EOS Aqua satellite stopped producing data due to a problem with the rotation of its antenna), at a spatial resolution of 0.25 degree. The data are stored in netCDF format.
                   
The LPRM is based on a forward radiative transfer model to retrieve surface soil moisture and vegetation optical depth. The land surface temperature is derived separately from the AMSR-E's Ka-band (36.5 GHz). A unique feature of this method is that it can be applied at any microwave frequency, making it very suitable to exploit all the available passive microwave data from various satellites.
                   
Input data are from the AMSR-E resampled brightness temperatures (AE_L2A) product, nighttime passes, as processed using LPRM (i.e., LPRM/AMSR-E/Aqua L2B product, GES_DISC_LPRM_AMSRE_SOILM2_V002).
This Level 2 (swath) data set’s land surface parameters, surface soil moisture, land surface (skin) temperature, and vegetation water content, are derived from passive microwave remote sensing data from the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E), using the Land Parameter Retrieval Model (LPRM). Each swath is packaged with associated geolocation fields. The data set covers the period from June 2002 to October 2011 (when the AMSR-E on the NASA EOS Aqua satellite stopped producing data due to a problem with the rotation of its antenna), at the spatial resolution (nominally 56 and 38 km, respectively) of AMSR-E's C and X bands (6.9 and 10.7 GHz, respectively). The data are stored in netCDF format.
                   
The LPRM is based on a forward radiative transfer model to retrieve surface soil moisture and vegetation optical depth. The land surface temperature is derived separately from the AMSR-E's Ka-band (36.5 GHz). A unique feature of this method is that it can be applied at any microwave frequency, making it very suitable to exploit all the available passive microwave data from various satellites.
                   
Input data are from the AMSR-E resampled brightness temperatures (AE_L2A) product, archived at the National Snow and Ice Data Center (NSIDC).
This Level 3 (gridded) data set’s land surface parameters, surface soil moisture, land surface (skin) temperature, and vegetation water content, are derived from passive microwave remote sensing data from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), using the Land Parameter Retrieval Model (LPRM). There are two files per day, one day and one night, archived as two different products. This document is for the daytime product. The data set covers the period from December 1997 to present, at a spatial resolution of 0.25 degree. The data are stored in netCDF format.
                   
                   The LPRM is based on a forward radiative transfer model to retrieve surface soil moisture and vegetation optical depth. The land surface temperature is derived separately from TMI's Ka-band (37 GHz). A unique feature of this method is that it can be applied at any microwave frequency, making it very suitable to exploit all the available passive microwave data from various satellites.
                   
Input data are from the TMI Brightness Temperatures (1B-11) product, daytime passes, as processed using LPRM (i.e., LPRM/TMI/TRMM L2 product, GES_DISC_LPRM_TMI_SOILM2_V001).
This Level 3 (gridded) data set’s land surface parameters, surface soil moisture, land surface (skin) temperature, and vegetation water content, are derived from passive microwave remote sensing data from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), using the Land Parameter Retrieval Model (LPRM). There are two files per day, one day and one night, archived as two different products. This document is for the nighttime product. The data set covers the period from December 1997 to present, at a spatial resolution of 0.25 degree. The data are stored in netCDF format.
                   
                   The LPRM is based on a forward radiative transfer model to retrieve surface soil moisture and vegetation optical depth. The land surface temperature is derived separately from TMI's Ka-band (37 GHz). A unique feature of this method is that it can be applied at any microwave frequency, making it very suitable to exploit all the available passive microwave data from various satellites.
                   
Input data are from the TMI Brightness Temperatures (1B-11) product, nighttime passes, as processed using LPRM (i.e., LPRM/TMI/TRMM L2 product, GES_DISC_LPRM_TMI_SOILM2_V001).
This Level 2 (swath) data set’s land surface parameters, surface soil moisture, land surface (skin) temperature, and vegetation water content, are derived from passive microwave remote sensing data from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), using the Land Parameter Retrieval Model (LPRM). Each swath is packaged with associated geolocation fields. The data set covers the period from December 1997 to present, at the spatial resolution (nominally 45 km) of TMI's X band (10.7 GHz). The data are stored in netCDF format.
                   
                   The LPRM is based on a forward radiative transfer model to retrieve surface soil moisture and vegetation optical depth. The land surface temperature is derived separately from TMI's Ka-band (37 GHz). A unique feature of this method is that it can be applied at any microwave frequency, making it very suitable to exploit all the available passive microwave data from various satellites.
                   
Input data are from the TMI Brightness Temperatures (1B-11) product, archived at the Goddard Earth Sciences Data and Information Services Center (GES DISC).
This model product provides the Fortran 77 source code for the Lund-Potsdam-Jena (LPJ) Wetland Hydrology and Methane Dynamic Global Vegetation Model (LPJ-WHyMe v1.3.1), auxiliary C++ routines, ASCII and NetCDF input data, and NetCDF example output data. LPJ-WHyMe v1.3.1 simulates peatland hydrology, permafrost dynamics, peatland vegetation, and methane emissions.The model processes can be simulated on an area-averaged 0.5 or 1.0 degree grid cell basis at global, regional, or site scales and on a daily, monthly, or annual time step as appropriate. Input driver data are monthly mean air temperature, total precipitation, percentage of full sunshine, annual atmospheric CO2 concentration, and soil texture class. The simulation for each grid cell begins from "bare ground", requiring a "spin up" (under non-transient climate) of ca. 1,000 years to develop equilibrium vegetation, carbon, and soil structure. Model simulations compare favorably, with some exceptions, to field observations collected from peatland sites (e.g., Degero, Sweden; Lakkasuo, Finland; BOREAS Northern Study Area, Canada; and others) and non-peatland sites (e.g., Point Barrow, Alaska, and Spasskaya, Siberia). LPJ-WHyMe is a further development of LPJ-WHy, which dealt with the introduction of permafrost and peatlands into LPJ. Implementing peatlands in LPJ required the addition of two new plant functional types (PFTs) (flood tolerant C3 graminoids and Sphagnum mosses) to the already existing ten PFTs, the introduction of inundation stress for non-peatland PFTs, a slow-down in decomposition under inundation, and the addition of a root exudates pool. LPJ-WHyMe v1.3.1 adds a methane model subroutine. This model product has one compressed data file (*.zip) and seven companion files.
This model product provides the Fortran 77 source code for the Lund-Potsdam-Jena (LPJ) Wetland Hydrology and Methane Dynamic Global Vegetation Model (LPJ-WHyMe v1.3.1), auxiliary C++ routines, ASCII and NetCDF input data, and NetCDF example output data. LPJ-WHyMe v1.3.1 simulates peatland hydrology, permafrost dynamics, peatland vegetation, and methane emissions.The model processes can be simulated on an area-averaged 0.5 or 1.0 degree grid cell basis at global, regional, or site scales and on a daily, monthly, or annual time step as appropriate. Input driver data are monthly mean air temperature, total precipitation, percentage of full sunshine, annual atmospheric CO2 concentration, and soil texture class. The simulation for each grid cell begins from "bare ground", requiring a "spin up" (under non-transient climate) of ca. 1,000 years to develop equilibrium vegetation, carbon, and soil structure. Model simulations compare favorably, with some exceptions, to field observations collected from peatland sites (e.g., Degero, Sweden; Lakkasuo, Finland; BOREAS Northern Study Area, Canada; and others) and non-peatland sites (e.g., Point Barrow, Alaska, and Spasskaya, Siberia). LPJ-WHyMe is a further development of LPJ-WHy, which dealt with the introduction of permafrost and peatlands into LPJ. Implementing peatlands in LPJ required the addition of two new plant functional types (PFTs) (flood tolerant C3 graminoids and Sphagnum mosses) to the already existing ten PFTs, the introduction of inundation stress for non-peatland PFTs, a slow-down in decomposition under inundation, and the addition of a root exudates pool. LPJ-WHyMe v1.3.1 adds a methane model subroutine. This model product has one compressed data file (*.zip) and seven companion files.
ABSTRACT: This model product provides the Fortran 77 source code for the Lund-Potsdam-Jena (LPJ) Wetland Hydrology and Methane Dynamic Global Vegetation Model (LPJ-WHyMe v1.3.1), auxiliary C++ routines, ASCII and NetCDF input data, and NetCDF example output data. LPJ-WHyMe v1.3.1 simulates peatland hydrology, permafrost dynamics, peatland vegetation, and methane emissions.The model processes can be simulated on an area-averaged 0.5 or 1.0 degree grid cell basis at global, regional, or site scales and on a daily, monthly, or annual time step as appropriate. Input driver data are monthly mean air temperature, total precipitation, percentage of full sunshine, annual atmospheric CO2 concentration, and soil texture class. The simulation for each grid cell begins from "bare ground", requiring a "spin up" (under non-transient climate) of ca. 1,000 years to develop equilibrium vegetation, carbon, and soil structure. Model simulations compare favorably, with some exceptions, to field observations collected from peatland sites (e.g., Degero, Sweden; Lakkasuo, Finland; BOREAS Northern Study Area, Canada; and others) and non-peatland sites (e.g., Point Barrow, Alaska, and Spasskaya, Siberia). LPJ-WHyMe is a further development of LPJ-WHy, which dealt with the introduction of permafrost and peatlands into LPJ. Implementing peatlands in LPJ required the addition of two new plant functional types (PFTs) (flood tolerant C3 graminoids and Sphagnum mosses) to the already existing ten PFTs, the introduction of inundation stress for non-peatland PFTs, a slow-down in decomposition under inundation, and the addition of a root exudates pool. LPJ-WHyMe v1.3.1 adds a methane model subroutine. This model product has one compressed data file (*.zip) and seven companion files.
MAPSS (Mapped Atmosphere-Plant-Soil System) is a landscape to global vegetation distribution model that was developed to simulate the potential biosphere impacts and biosphere-atmosphere feedbacks from climatic change. Model output from MAPSS has been used extensively in the Intergovernmental Panel on Climate Change's (IPCC) regional and global assessments of climate change impacts on vegetation and in several other projects.
MAPSS (Mapped Atmosphere-Plant-Soil System) is a landscape to global vegetation distribution model that was developed to simulate the potential biosphere impacts and biosphere-atmosphere feedbacks from climatic change. Model output from MAPSS has been used extensively in the Intergovernmental Panel on Climate Change's (IPCC) regional and global assessments of climate change impacts on vegetation and in several other projects.
ABSTRACT: MAPSS (Mapped Atmosphere-Plant-Soil System) is a landscape to global vegetation distribution model that was developed to simulate the potential biosphere impacts and biosphere-atmosphere feedbacks from climatic change. Model output from MAPSS has been used extensively in the Intergovernmental Panel on Climate Change's (IPCC) regional and global assessments of climate change impacts on vegetation and in several other projects.
MERIS is a programmable, medium-spectral resolution, imaging spectrometer operating in the solar reflective spectral range. Fifteen spectral bands can be selected by ground command.  MERIS is designed so that it can acquire data over the Earth whenever illumination conditions are suitable. The instrument's 68.5\'b0 field of view around nadir covers a swath width of 1150 km. This wide field of view is shared between five identical optical modules arranged in a fan shape configuration.  The instrument is capable of 300m resolution delivered via direct broadcast, but collects a reduced resolution (~1.2km) global coverage data set on-board the spacecraft.    This product is the calibrated top-of-atmosphere radiances in the 15 spectral bands at this reduced resolution.
MERIS is a programmable, medium-spectral resolution, imaging spectrometer operating in the solar reflective spectral range. Fifteen spectral bands can be selected by ground command.  MERIS is designed so that it can acquire data over the Earth whenever illumination conditions are suitable. The instrument's 68.5\'b0 field of view around nadir covers a swath width of 1150 km. This wide field of view is shared between five identical optical modules arranged in a fan shape configuration.  The instrument is capable of 300m resolution delivered via direct broadcast, but collects a reduced resolution (~1.2km) global coverage data set on-board the spacecraft.    This product is the calibrated top-of-atmosphere radiances in the 15 spectral bands at this reduced resolution.
MERIS is a programmable, medium-spectral resolution, imaging spectrometer operating in the solar reflective spectral range. Fifteen spectral bands can be selected by ground command.  MERIS is designed so that it can acquire data over the Earth whenever illumination conditions are suitable. The instrument's 68.5\'b0 field of view around nadir covers a swath width of 1150 km. This wide field of view is shared between five identical optical modules arranged in a fan shape configuration.  The instrument is capable of 300m resolution delivered via direct broadcast, but collects a reduced resolution (~1.2km) global coverage data set on-board the spacecraft.    This product is the calibrated top-of-atmosphere radiances in the 15 spectral bands at this reduced resolution.
MERIS is a programmable, medium-spectral resolution, imaging spectrometer operating in the solar reflective spectral range. Fifteen spectral bands can be selected by ground command.  MERIS is designed so that it can acquire data over the Earth whenever illumination conditions are suitable. The instrument's 68.5° field of view around nadir covers a swath width of 1150 km. This wide field of view is shared between five identical optical modules arranged in a fan shape configuration.  The instrument is capable of 300m resolution delivered via direct broadcast, but collects a reduced resolution (~1.2km) global coverage data set on-board the spacecraft.  This product contains the geophysical data products in sensor coordinates at the reduced resolution.  The products included: chlorophyll a, remote sensing reflectance in the visible bands, aerosol optical depth at 86nm, aerosol angstrom parameter, diffuse attenuation at 490nm, particulate inorganic carbon concentration, particulate organic carbon concentration and the Morel CDOM index.  These data were processed to Level 2 using NASA's OBPG l2gen software.
MERIS is a programmable, medium-spectral resolution, imaging spectrometer operating in the solar reflective spectral range. Fifteen spectral bands can be selected by ground command.  MERIS is designed so that it can acquire data over the Earth whenever illumination conditions are suitable. The instrument's 68.5° field of view around nadir covers a swath width of 1150 km. This wide field of view is shared between five identical optical modules arranged in a fan shape configuration.  The instrument is capable of 300m resolution delivered via direct broadcast, but collects a reduced resolution (~1.2km) global coverage data set on-board the spacecraft.  This product contains the geophysical data products in sensor coordinates at the reduced resolution.  The products included: chlorophyll a, remote sensing reflectance in the visible bands, aerosol optical depth at 86nm, aerosol angstrom parameter, diffuse attenuation at 490nm, particulate inorganic carbon concentration, particulate organic carbon concentration and the Morel CDOM index.  These data were processed to Level 2 using NASA's OBPG l2gen software.
MERIS is a programmable, medium-spectral resolution, imaging spectrometer operating in the solar reflective spectral range. Fifteen spectral bands can be selected by ground command.  MERIS is designed so that it can acquire data over the Earth whenever illumination conditions are suitable. The instrument's 68.5° field of view around nadir covers a swath width of 1150 km. This wide field of view is shared between five identical optical modules arranged in a fan shape configuration.  The instrument is capable of 300m resolution delivered via direct broadcast, but collects a reduced resolution (~1.2km) global coverage data set on-board the spacecraft.  This product contains the geophysical data products in sensor coordinates at the reduced resolution.  The products included: chlorophyll a, remote sensing reflectance in the visible bands, aerosol optical depth at 86nm, aerosol angstrom parameter, diffuse attenuation at 490nm, particulate inorganic carbon concentration, particulate organic carbon concentration and the Morel CDOM index.  These data were processed to Level 2 using NASA's OBPG l2gen software.
The MATUNXLND or tavgU_2d_lnd_Nx data product is the MERRA Data Assimilation System 2-Dimensional land surface diagnostic that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                                          The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATMNXLND or tavgM_2d_lnd_Nx data product is the MERRA Data Assimilation System 2-Dimensional land surface diagnostic that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;amp;deg; longitude x 1/2&amp;amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATUNXRAD or tavgU_2d_rad_Nx data product is the MERRA Data Assimilation System 2-Dimensional surface and TOA radiation flux that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                                          The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATMNXRAD or tavgM_2d_rad_Nx data product is the MERRA Data Assimilation System 2-Dimensional surface and TOA radiation flux that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT1NXRAD or tavg1_2d_rad_Nx data product is the MERRA Data Assimilation System 2-Dimensional surface and TOA radiation flux that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                              
                              This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                              The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATUNXSLV or tavgU_2d_slv_Nx data product is the MERRA Data Assimilation System 2-Dimensional atmospheric single-level diagnostics that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                                          The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATMNXSLV or tavgM_2d_slv_Nx data product is the MERRA Data Assimilation System 2-Dimensional atmospheric single-level diagnostics that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional fields that do not vary during the reanalysis.                                     
                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. The files contain the monthly mean. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT1NXSLV or tavg1_2d_slv_Nx data product is the MERRA Data Assimilation System 2-Dimensional atmospheric single-level diagnostics that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. The files contain the following times compacted into a daily file: 0:30, 1:30, 2:30, 3:30, 4:30, &amp; GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATUNXFLX or tavgU_2d_flx_Nx data product is the MERRA Data Assimilation System 2-Dimensional surface turbulence flux diagnostic that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                                          The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATMNXFLX or tavgM_2d_flx_Nx data product is the MERRA Data Assimilation System 2-Dimensional surface turbulence flux diagnostic that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional fields that do not vary during the reanalysis.  

                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT1NXFLX or tavg1_2d_flx_Nx data product is the MERRA Data Assimilation System 2-Dimensional surface turbulence flux diagnostic that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATUNXINT or tavgU_2d_int_Nx data product is the MERRA Data Assimilation System 2-Dimensional vertical integral that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                                          The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAI1NXINT or inst1_2d_int_Nx data product is the MERRA Data Assimilation System 2-Dimensional vertical integral that is Instantaneous single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                                
                                                This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                                          
                                                The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATMNXINT or tavgM_2d_int_Nx data product is the MERRA Data Assimilation System 2-Dimensional vertical integral that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATUNXOCN or tavgU_2d_ocn_Nx data product is the MERRA Data Assimilation System 2-Dimensional ocean surface single-level diagnostics that is monthly mean single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATMNXOCN or tavgM_2d_ocn_Nx data product is the MERRA Data Assimilation System 2-Dimensional ocean surface single-level diagnostics that is monthly mean single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. The file contains the monthly mean. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT1NXOCN or tavg1_2d_ocn_Nx data product is the MERRA Data Assimilation System 2-Dimensional ocean surface single-level diagnostics that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. The files contain the following times compacted into a daily file: 0:30, 1:30, 2:30, 3:30, 4:30, &amp; GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAI6NVANA or inst6_3d_ana_Nv data product is the MERRA Data Assimilation System 3-Dimensional instantaneous, on model levels, at native resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional and 3-dimensional fields that do not vary during the reanalysis. 
                                    
                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&deg; longitude x 1/2&deg; latitude resolution.  File sizes are about 1347 Mbytes per day with the following times compacted into a daily file: 00, 06, 12, 18 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAI6NPANA or inst6_3d_ana_Np data product is the MERRA Data Assimilation System 3-Dimensional instantaneous, on pressure levels, at native resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                              
                              This data product contains 2-dimensional and 3-dimensional fields that do not vary during the reanalysis. 
                              The data are on the GEOS-5 native 540 x 361 grid with 2/3&deg; longitude x 1/2&deg; latitude resolution. The pressure-level data will be output in 42 pressure levels.  File sizes are about 792 Mbytes per day with the following times compacted into a daily file: 00, 06, 12, 18 GMT; monthly and seasonal are also available. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAIUNPANA or instU_3d_ana_Np data product is the MERRA Data Assimilation System 3-Dimensional instantaneous, on pressure levels, at native resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional and 3-dimensional fields that do not vary during the reanalysis. 
                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&deg; longitude x 1/2&deg; latitude resolution. The pressure-level data will be output in 42 pressure levels.  File sizes are about 792 Mbytes per day with the following times compacted into a daily file: 00, 06, 12, 18 GMT; monthly and seasonal are also available. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAIMNPANA or instM_3d_ana_Np data product is the MERRA Data Assimilation System 3-Dimensional instantaneous, on pressure levels, at native resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional and 3-dimensional fields that do not vary during the reanalysis. 
                                    
                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&deg; longitude x 1/2&deg; latitude resolution. The pressure-level data will be output in 42 pressure levels.  File sizes are about 792 Mbytes per day with the following times compacted into a daily file: 00, 06, 12, 18 GMT; monthly and seasonal are also available. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATUCPCLD or tavgU_3d_cld_Cp data product is the MERRA Data Assimilation System 3-Dimensional cloud diagnostic that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 2-dimensional and 3-dimensional fields that do not vary during the reanalysis. 
                                          The data are on the GEOS-5 native 288 x 144 grid with 1.25&amp;deg; longitude x 1.25&amp;deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATMCPCLD or tavgM_3d_cld_Cp data product is the MERRA Data Assimilation System 3-Dimensional cloud diagnostic that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 2-dimensional and 3-dimensional fields that do not vary during the reanalysis. 
                                          The data are on the GEOS-5 native 288 x 144 grid with 1.25&amp;deg; longitude x 1.25&amp;deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the monthly means. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT3CPCLD or tavg3_3d_cld_Cp data product is the MERRA Data Assimilation System 3-Dimensional cloud diagnostic that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 2-dimensional and 3-dimensional fields that do not vary during the reanalysis. 
                                          The data are on the GEOS-5 native 288 x 144 grid with 1.25&amp;deg; longitude x 1.25&amp;deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the following times compacted into a daily file: 1:30, 4:30, 7:30, 10:30, 13:30, 16:30, 19:30, 22:30 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATUCPMST or tavgU_3d_mst_Cp data product is the MERRA Data Assimilation System 3-Dimensional moist process diagnostic that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 2-dimensional and 3-dimensional fields that do not vary during the reanalysis. 
                                          The data are on the GEOS-5 native 288 x 144 grid with 1.25&amp;deg; longitude x 1.25&amp;deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATMCPMST or tavgM_3d_mst_Cp data product is the MERRA Data Assimilation System 3-Dimensional moist process diagnostic that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional and 3-dimensional fields that do not vary during the reanalysis. 
                                    The data are on the GEOS-5 native 288 x 144 grid with 1.25&amp;deg; longitude x 1.25&amp;deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the monthly means. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT3CPMST or tavg3_3d_mst_Cp data product is the MERRA Data Assimilation System 3-Dimensional moist process diagnostic that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 2-dimensional and 3-dimensional fields that do not vary during the reanalysis. 
                                          The data are on the GEOS-5 native 288 x 144 grid with 1.25&amp;deg; longitude x 1.25&amp;deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the following times compacted into a daily file: 1:30, 4:30, 7:30, 10:30, 13:30, 16:30, 19:30, 22:30 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATUCPRAD or tavgU_3d_rad_Cp data product is the MERRA Data Assimilation System 3-Dimensional radiation diagnostic that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                                
                                                This data product contains 2-dimensional and 3-dimensional fields that do not vary during the reanalysis. 
                                                The data are on the GEOS-5 native 288 x 144 grid with 1.25&amp;deg; longitude x 1.25&amp;deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATMCPRAD or tavgM_3d_rad_Cp data product is the MERRA Data Assimilation System 3-Dimensional radiation diagnostic that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 2-dimensional and 3-dimensional fields that do not vary during the reanalysis. 
                                          The data are on the GEOS-5 native 288 x 144 grid with 1.25&amp;deg; longitude x 1.25&amp;deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the monthly mean. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT3CPRAD or tavg3_3d_rad_Cp data product is the MERRA Data Assimilation System 3-Dimensional radiation diagnostic that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 2-dimensional and 3-dimensional fields that do not vary during the reanalysis. 
                                          The data are on the GEOS-5 native 288 x 144 grid with 1.25&amp;deg; longitude x 1.25&amp;deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the following times compacted into a daily file: 1:30, 4:30, 7:30, 10:30, 13:30, 16:30, 19:30, 22:30 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATUCPTRB or tavgU_3d_trb_Cp data product is the MERRA Data Assimilation System 3-Dimensional turbulence diagnostic that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 3-dimensional fields that do not vary during the reanalysis. 
                                    
                                          The data are on the GEOS-5 native 288 x 144 grid with 1.25&deg; longitude x 1.25&deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATMCPTRB or tavgM_3d_trb_Cp data product is the MERRA Data Assimilation System 3-Dimensional turbulence diagnostic that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 3-dimensional fields that do not vary during the reanalysis.                                     
                                    The data are on the GEOS-5 native 288 x 144 grid with 1.25&deg; longitude x 1.25&deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the monthly means. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT3CPTRB or tavg3_3d_trb_Cp data product is the MERRA Data Assimilation System 3-Dimensional turbulence diagnostic that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                                
                                                This data product contains 3-dimensional fields that do not vary during the reanalysis. 
                                                The data are on the GEOS-5 native 288 x 144 grid with 1.25&deg; longitude x 1.25&deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the following times compacted into a daily file: 1:30, 4:30, 7:30, 10:30, 13:30, 16:30, 19:30, 22:30 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAI3CPASM or inst3_3d_asm_Cp data product is the MERRA Data Assimilation System 3-Dimensional assimilated state on pressure, at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional and 3-dimensional fields that do not vary during the reanalysis. 
                                    The data are on the GEOS-5 native 288 x 144 grid with 1.25&amp;deg; longitude x 1.25&amp;deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the following times compacted into a daily file: 00, 03, 06, 09, 12, 15, 18, 21 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAIUCPASM or instU_3d_asm_Cp data product is the MERRA Data Assimilation System 3-Dimensional assimilated state on pressure, at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional and 3-dimensional fields that do not vary during the reanalysis. 
                                    The data are on the GEOS-5 native 288 x 144 grid with 1.25&amp;deg; longitude x 1.25&amp;deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the data processed as Diurnal. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAIMCPASM or instM_3d_asm_Cp data product is the MERRA Data Assimilation System 3-Dimensional assimilated state on pressure, at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional and 3-dimensional fields that do not vary during the reanalysis. 
                                    
                                    The data are on the GEOS-5 native 288 x 144 grid with 1.25&amp;deg; longitude x 1.25&amp;deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the data processed as monthly means. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATUCPODT or tavgU_3d_odt_Cp data product is the MERRA Data Assimilation System 3-Dimensional ozone tendencies that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 3-dimensional fields that do not vary during the reanalysis. 
                                          The data are on the GEOS-5 native 288 x 144 grid with 1.25&amp;deg; longitude x 1.25&amp;deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATMCPODT or tavgM_3d_odt_Cp data product is the MERRA Data Assimilation System 3-Dimensional ozone tendencies that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 3-dimensional fields that do not vary during the reanalysis. 
                              
                                    The data are on the GEOS-5 native 288 x 144 grid with 1.25&amp;deg; longitude x 1.25&amp;deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contains the monthly means. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT3CPODT or tavg3_3d_odt_Cp data product is the MERRA Data Assimilation System 3-Dimensional ozone tendencies that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 3-dimensional fields that do not vary during the reanalysis.                                           
                                          The data are on the GEOS-5 native 288 x 144 grid with 1.25&amp;deg; longitude x 1.25&amp;deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the following times compacted into a daily file: 1:30, 4:30, 7:30, 10:30, 13:30, 16:30, 19:30, 22:30 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATUCPQDT or tavgU_3d_qdt_Cp data product is the MERRA Data Assimilation System 3-Dimensional moisture tendencies that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 3-dimensional fields that do not vary during the reanalysis. 
                                          The data are on the GEOS-5 native 288 x 144 grid with 1.25&deg; longitude x 1.25&deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATMCPQDT or tavgM_3d_qdt_Cp data product is the MERRA Data Assimilation System 3-Dimensional moisture tendencies that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 3-dimensional fields that do not vary during the reanalysis. 
                              
                                    The data are on the GEOS-5 native 288 x 144 grid with 1.25&deg; longitude x 1.25&deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the monthly mean. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT3CPQDT or tavg3_3d_qdt_Cp data product is the MERRA Data Assimilation System 3-Dimensional moisture tendencies that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 3-dimensional fields that do not vary during the reanalysis. 
                                          The data are on the GEOS-5 native 288 x 144 grid with 1.25&deg; longitude x 1.25&deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the following times compacted into a daily file: 1:30, 4:30, 7:30, 10:30, 13:30, 16:30, 19:30, 22:30 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATUCPTDT or tavgU_3d_tdt_Cp data product is the MERRA Data Assimilation System 3-Dimensional temperature tendencies that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 3-dimensional fields that do not vary during the reanalysis. 
                              
                                    The data are on the GEOS-5 native 288 x 144 grid with 1.25&deg; longitude x 1.25&deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATMCPTDT or tavgM_3d_tdt_Cp data product is the MERRA Data Assimilation System 3-Dimensional temperature tendencies that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                              
                              This data product contains 3-dimensional fields that do not vary during the reanalysis. 
                              The data are on the GEOS-5 native 288 x 144 grid with 1.25&deg; longitude x 1.25&deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the monthly means. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT3CPTDT or tavg3_3d_tdt_Cp data product is the MERRA Data Assimilation System 3-Dimensional temperature tendencies that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 3-dimensional fields that do not vary during the reanalysis. 
                                    The data are on the GEOS-5 native 288 x 144 grid with 1.25&deg; longitude x 1.25&deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the following times compacted into a daily file: 1:30, 4:30, 7:30, 10:30, 13:30, 16:30, 19:30, 22:30 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATUCPUDT or tavgU_3d_udt_Cp data product is the MERRA Data Assimilation System 3-Dimensional eastward wind tendencies that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 3-dimensional fields that do not vary during the reanalysis. 
                                    
                                          The data are on the GEOS-5 native 288 x 144 grid with 1.25&deg; longitude x 1.25&deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATMCPUDT or tavgM_3d_udt_Cp data product is the MERRA Data Assimilation System 3-Dimensional eastward wind tendencies that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 3-dimensional fields that do not vary during the reanalysis.                                     
                                    The data are on the GEOS-5 native 288 x 144 grid with 1.25&deg; longitude x 1.25&deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the monthly means. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT3CPUDT or tavg3_3d_udt_Cp data product is the MERRA Data Assimilation System 3-Dimensional eastward wind tendencies that is time averaged on pressure levels at a reduced resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 3-dimensional fields that do not vary during the reanalysis.                                         
                                          The data are on the GEOS-5 native 288 x 144 grid with 1.25&amp;deg; longitude x 1.25&amp;deg; latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the following times compacted into a daily file: 1:30, 4:30, 7:30, 10:30, 13:30, 16:30, 19:30, 22:30 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATUFXCHM or tavgU_3d_chm_Fx data product is the MERRA Data Assimilation System Chemistry 
                                          2-Dimensional chemistry that is time averaged, single-level, at reduced FV resolution. It is a 
                                          history file that is intended for forcing off-line chemistry/aerosol models with the results of 
                                          the reanalysis. Like other histories, they are produced from the GCM during thec corrector segment
                                          of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or 
                                          the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the 
                                          satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation 
                                          System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains fields that do not vary during the reanalysis. 
                                          The data are on the GEOS-5 native 288 x 181 grid with 1.25&amp;deg; longitude x 2&amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MATMFXCHM or tavgM_3d_chm_Fx data product is the MERRA Data Assimilation System Chemistry 
                                          2-Dimensional chemistry that is time averaged, single-level, at reduced FV resolution. It is a 
                                          history file that is intended for forcing off-line chemistry/aerosol models with the results of 
                                          the reanalysis. Like other histories, they are produced from the GCM during thec corrector segment
                                          of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or 
                                          the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the 
                                          satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation 
                                          System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains fields that do not vary during the reanalysis. 
                                    
                                          The data are on the GEOS-5 native 288 x 181 grid with 1.25&amp;deg; longitude x 2&amp;deg; latitude resolution. The files are the monthly means. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT3FXCHM or tavg3_3d_chm_Fx data product is the MERRA Data Assimilation System Chemistry 
                                    2-Dimensional chemistry that is time averaged, single-level, at reduced FV resolution. It is a 
                                    history file that is intended for forcing off-line chemistry/aerosol models with the results of 
                                    the reanalysis. Like other histories, they are produced from the GCM during thec corrector segment
                                    of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or 
                                    the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the 
                                    satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation 
                                    System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains fields that do not vary during the reanalysis. 
                                    The data are on the GEOS-5 native 288 x 181 grid with 1.25&amp;deg; longitude x 2&amp;deg; latitude resolution. The files are compacted into a single daily file with the times: 1:30, 4:30, 7:30, 10:30, 13:30, 16:30, 19:30, 22:30 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT3NECHM or tavg3_3d_chm_Ne data product is the MERRA Data Assimilation System Chemistry 
                                    3-Dimensional chemistry on layer Edges that is time averaged, 3D model levels, at native 
                                    resolution. It is a history file that is intended for forcing off-line chemistry/aerosol models 
                                    with the results of the reanalysis. Like other histories, they are produced from the GCM during 
                                    the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal 
                                    resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a 
                                    NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing 
                                    System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains fields that do not vary during the reanalysis. 
                              
                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&deg; longitude x 1/2&deg; latitude resolution. The files are compacted into a single daily file with the times: 1:30, 4:30, 7:30, 10:30, 13:30, 16:30, 19:30, 22:30 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT3NVCHM or tavg3_3d_chm_Nv data product is the MERRA Data Assimilation System Chemistry 
                                    3-Dimensional chemistry on layers that is time averaged, 3D model levels, at native resolution. 
                                    It is a history file that is intended for forcing off-line chemistry/aerosol models with the 
                                    results of the reanalysis. Like other histories, they are produced from the GCM during the 
                                    corrector segment of the IAU cycle. All collections from this group are at reduced horizontal 
                                    resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is 
                                    a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth 
                                    Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains fields that do not vary during the reanalysis. 
                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. The files are compacted into a single daily file with the times: 1:30, 4:30, 7:30, 10:30, 13:30, 16:30, 19:30, 22:30 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAI3NECHM or inst3_3d_chm_Ne data product is the MERRA Data Assimilation System Chemistry 
                                    3-Dimensional chemistry on layer Edges that is time averaged, 3D model levels, at native 
                                    resolution. It is a history file that is intended for forcing off-line chemistry/aerosol models 
                                    with the results of the reanalysis. Like other histories, they are produced from the GCM during 
                                    the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal 
                                    resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a 
                                    NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing 
                                    System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains fields that do not vary during the reanalysis.                                     
                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. The files are compacted into a single daily file with the times: 1:30, 4:30, 7:30, 10:30, 13:30, 16:30, 19:30, 22:30 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT3FVCHM or tavg3_3d_chm_Fv data product is the MERRA Data Assimilation System Chemistry 
                                    3-Dimensional chemistry on layers file that is time averaged, 3D model levels, at reduced FV 
                                    resolution. It is a history file that is intended for forcing off-line chemistry/aerosol models 
                                    with the results of the reanalysis. Like other histories, they are produced from the GCM during 
                                    the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal 
                                    resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a 
                                    NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing 
                                    System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains fields that do not vary during the reanalysis. 
                              
                                    The data are on the GEOS-5 native 288 x 181 grid with 1.25&deg; longitude x 2&deg; latitude resolution. The files are compacted into a single daily file with the times: 1:30, 4:30, 7:30, 10:30, 13:30, 16:30, 19:30, 22:30 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT3FECHM or tavg3_3d_chm_Fe data product is the MERRA Data Assimilation System Chemistry 
                                    3-Dimensional chemistry on layers edges that is time averaged, 3D model levels, at reduced 
                                    FV resolution. It is a history file that is intended for forcing off-line chemistry/aerosol 
                                    models with the results of the reanalysis. Like other histories, they are produced from the 
                                    GCM during the corrector segment of the IAU cycle. All collections from this group are at 
                                    reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research 
                                    and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the 
                                    Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains fields that do not vary during the reanalysis. 
                                    The data are on the GEOS-5 native 288 x 181 grid with 1.25&amp;deg; longitude x 2&amp;deg; latitude resolution. The files are compacted into a single daily file with the times: 1:30, 4:30, 7:30, 10:30, 13:30, 16:30, 19:30, 22:30 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAC0FXCHM or const_2d_chm_Fx data product is the MERRA Data Assimilation System 2-Dimensional Constants at native Fv resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                        
                        This data product contains 2-dimensional fields that do not vary during the reanalysis. Parameters include:
                        
                           PHIS - surface geopotential height (m2/s2)
                           SGH - standard deviation of topography for gravity wave drag (m)
                           FRLAKE - fraction of lake type in grid box (fraction)
                           FRLAND - fraction of land type in grid box (fraction)
                           FRLANDICE - fraction of land ice type in grid box (fraction)
                           FROCEAN - fraction of ocean in grid box (fraction)
                           AREA - horizontal area of grid box (m2)
                           DX - zonal grid spacing (m)
                           DY - meridional grid spacing (m)
                        
                        The data are on the GEOS-5 native 540 x 361 grid with 2/3&deg; longitude x 1/2&deg; latitude resolution.  File sizes are about 5.5 Mbytes. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAC0NXASM or const_2d_asm_Nx data product is the MERRA Data Assimilation System 2-Dimensional Constants at native resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                        
                        This data product contains 2-dimensional fields that do not vary during the reanalysis. Parameters include:
                        
                           PHIS - surface geopotential height (m2/s2)
                           SGH - standard deviation of topography for gravity wave drag (m)
                           FRLAKE - fraction of lake type in grid box (fraction)
                           FRLAND - fraction of land type in grid box (fraction)
                           FRLANDICE - fraction of land ice type in grid box (fraction)
                           FROCEAN - fraction of ocean in grid box (fraction)
                           AREA - horizontal area of grid box (m2)
                        
                        The data are on the GEOS-5 native 540 x 361 grid with 2/3&deg; longitude x 1/2&deg; latitude resolution.  File sizes are about 5.5 Mbytes. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
This is the MERRA IAU 2d atmospheric single-level diagnostics subset, collocated with the CloudSat track. The subset is processed at the Modeling and Assimilation Data and Information Services Center (MDISC) of the GES DISC, NASA. The algorithm first calculates coordinates along the CloudSat ground track as well as coordinates orthogonal to the CloudSat ground track to produce a swath co-instantiated with actual CloudSat coverage. The algorithm proceeds to extract the closest MERRA grid cell at each point within the co-instantiated swath and writes the output subset in HDF-EOS swath-format, one subset for each time stride for 24 subsets per day. The swath has an along-track temporal resolution of 10 seconds and an across-track spatial resolution of 0.25 degrees. With 9 across-track bins, the resulting coverage is about 200km wide.
      
      All original parameters are preserved in the subset. As it is collocated with CloudSat, the subset is automatically collocated with CALIPSO as well.
This is the MERRA IAU 2d surface and TOA radiation fluxes subset, collocated with the CloudSat track. The subset is processed at the Modeling and Assimilation Data and Information Services Center (MDISC) of the GES DISC, NASA. The algorithm first calculates coordinates along the CloudSat ground track as well as coordinates orthogonal to the CloudSat ground track to produce a swath co-instantiated with actual CloudSat coverage. The algorithm proceeds to extract the closest MERRA grid cell at each point within the co-instantiated swath and writes the output subset in HDF-EOS swath-format, one subset for each time stride for 24 subsets per day. The swath has an along-track temporal resolution of 10 seconds and an across-track spatial resolution of 0.25 degrees. With 9 across-track bins, the resulting coverage is about 200km wide.

All original parameters are preserved in the subset. As it is collocated with CloudSat, the subset is automatically collocated with CALIPSO as well.
The MAIUNXINT or instU_2d_int_Nx data product is the MERRA Data Assimilation System 2-Dimensional vertical integral that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                          
                                          This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                                    
                                          The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAIMNXINT or instM_2d_int_Nx data product is the MERRA Data Assimilation System 2-Dimensional vertical integral that is time averaged single-level at the native resolution in a monthly mean. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                                    
                                    This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                              
                                    The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The MAT1NXINT or tavg1_2d_int_Nx data product is the MERRA Data Assimilation System 2-Dimensional vertical integral that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS).
                              
                              This data product contains 2-dimensional fields that do not vary during the reanalysis. 
                              The data are on the GEOS-5 native 540 x 361 grid with 2/3&amp;deg; longitude x 1/2&amp;deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
This is the MERRA IAU 3d assimilated state on pressure subset, collocated with the CloudSat track. The subset is processed at the Modeling and Assimilation Data and Information Services Center (MDISC) of the GES DISC, NASA. The algorithm first calculates coordinates along the CloudSat ground track as well as coordinates orthogonal to the CloudSat ground track to produce a swath co-instantiated with actual CloudSat coverage. The algorithm proceeds to extract the closest MERRA grid cell at each point within the co-instantiated swath and writes the output subset in HDF-EOS swath-format, one subset for each time stride for eight subsets per day. The swath has an along-track temporal resolution of 10 seconds and an across-track spatial resolution of 0.25 degrees. With 9 across-track bins, the resulting coverage is about 200km wide.
      
      All original parameters are preserved in the subset. As it is collocated with CloudSat, the subset is automatically collocated with CALIPSO as well.
This is the MERRA IAU 3d cloud diagnostics subset, collocated with the CloudSat track. The subset is processed at the Modeling and Assimilation Data and Information Services Center (MDISC) of the GES DISC, NASA. The algorithm first calculates coordinates along the CloudSat ground track as well as coordinates orthogonal to the CloudSat ground track to produce a swath co-instantiated with actual CloudSat coverage. The algorithm proceeds to extract the closest MERRA grid cell at each point within the co-instantiated swath and writes the output subset in HDF-EOS swath-format, one subset for each time stride for eight subsets per day. The swath has an along-track temporal resolution of 10 seconds and an across-track spatial resolution of 0.25 degrees. With 9 across-track bins, the resulting coverage is about 200km wide.
      
      All original parameters are preserved in the subset. As it is collocated with CloudSat, the subset is automatically collocated with CALIPSO as well.
The Modern-Era Retrospective Analysis for Research and Applications (MERRA) is a state-of-the-art reanalysis data product that provides, in addition to atmospheric fields, global estimates of soil moisture, latent heat flux, snow, and runoff for 1979-present. A supplemental and improved set of land surface hydrological fields (MERRA-Land) was generated by re-running a revised version of the land component of the MERRA system (Reichle et al., 2012). Specifically, the MERRA-Land estimates benefit from corrections to the precipitation forcing with the global gauge-based NOAA Climate Prediction Center Unified (CPCU) precipitation product and from revised parameter values in the rainfall interception model, changes that effectively correct for known limitations in the MERRA surface meteorological forcings. With a few exceptions, the MERRA-Land data appear more accurate than the original MERRA estimates and are thus recommended for those interested in using MERRA output for land surface hydrological studies.

  The MERRA-Land product, MSTUNXMLD or tavgU_2d_mld_Nx, is a simulated 2-Dimensional diurnal at the native resolution. All collections from this group are at reduced horizontal resolution. 
  
    The data are on the GEOS-5 native 540 x 361 grid with 2/3&deg; longitude x 1/2&deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The Modern-Era Retrospective Analysis for Research and Applications (MERRA) is a state-of-the-art reanalysis data product that provides, in addition to atmospheric fields, global estimates of soil moisture, latent heat flux, snow, and runoff for 1979-present. A supplemental and improved set of land surface hydrological fields (MERRA-Land) was generated by re-running a revised version of the land component of the MERRA system (Reichle et al., 2012). Specifically, the MERRA-Land estimates benefit from corrections to the precipitation forcing with the global gauge-based NOAA Climate Prediction Center Unified (CPCU) precipitation product and from revised parameter values in the rainfall interception model, changes that effectively correct for known limitations in the MERRA surface meteorological forcings. With a few exceptions, the MERRA-Land data appear more accurate than the original MERRA estimates and are thus recommended for those interested in using MERRA output for land surface hydrological studies.

	The MERRA-Land product, MSTMNXMLD or tavgM_2d_mld_Nx, is a simulated 2-Dimensional monthly mean at the native resolution. All collections from this group are at reduced horizontal resolution. 
	
    The data are on the GEOS-5 native 540 x 361 grid with 2/3&deg; longitude x 1/2&deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
The Modern-Era Retrospective Analysis for Research and Applications (MERRA) is a state-of-the-art reanalysis data product that provides, in addition to atmospheric fields, global estimates of soil moisture, latent heat flux, snow, and runoff for 1979-present. A supplemental and improved set of land surface hydrological fields (MERRA-Land) was generated by re-running a revised version of the land component of the MERRA system (Reichle et al., 2012). Specifically, the MERRA-Land estimates benefit from corrections to the precipitation forcing with the global gauge-based NOAA Climate Prediction Center Unified (CPCU) precipitation product and from revised parameter values in the rainfall interception model, changes that effectively correct for known limitations in the MERRA surface meteorological forcings. With a few exceptions, the MERRA-Land data appear more accurate than the original MERRA estimates and are thus recommended for those interested in using MERRA output for land surface hydrological studies.

  The MERRA-Land product, MST1NXMLD or tavg1_2d_mld_Nx, is a simulated 2-Dimensional time averaged single-level at the native resolution. All collections from this group are at reduced horizontal resolution. 
  
    The data are on the GEOS-5 native 540 x 361 grid with 2/3&deg; longitude x 1/2&deg; latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
Meteorology data collected on an hourly basis from stations located near the OTTER sites in 1990 and summarized to monthly data--see also: Canopy Chemistry (OTTER)
Meteorology data collected on an hourly basis from stations located near the OTTER sites in 1990 and summarized to monthly data--see also: Canopy Chemistry (OTTER)
ABSTRACT: Meteorology data collected on an hourly basis from stations located near the OTTER sites in 1990 and summarized to monthly data--see also: Canopy Chemistry (OTTER)
This product is 1)the microphysical and scattering characteristics of pure aerosol upon which routine retrievals are based;2)mixtures of pure aerosol to be compared with MISR observations;3)likelihood value assigned to each mode geographically. (Suggested Usage: Product is used for Level 2 Aerosol/Surface Products & has 3 parts: 1) Aerosol Physical & Optical Properties contains the microphysical & scattering characteristics of the pure aerosol models upon which the routine retrievals are based;2)Aerosol Mixture File contains mixtures of pure aerosols that may occur for each retrieval patway.3) Aerosol Clim-Likely File contains the pre-assigned likelihood of occurance of each aerosol model, based on reasonable climatological expectations.)
This file consists primarily of terrain data on a SOM Grid. It has 233 parts, corresponding to the 233 repeat orbits of the EOS-AM1 Spacecraft. (Suggested Usage: The AGP file consists primarily of terrain data on an SOM grid.It is utilized throughout the mission & is needed to interpret the products.The AGP consists of 233 parts,corresponding to the 233 repeat orbits of the EOS spacecraft.The map scale is 1.1 km;this defines the horizontal sampling for each of the parameters.The horizontal datum or surface-basis,for the projection is the WGS84 ellipsoid. This map projection and surface-basis is what is used for all L1B2 and L2 parameters.)
This is composed of 4 files covering instrument characterization data, preflight calibration data, in-flight calibration data, and configuration parameters. (Suggested Usage: The ARP file contains coefficients and data variables which are used in all stages of processing and may be used by the science data user. These parameters characterize the instrument in its current state. They include radiometric calibration coefficients, absolute radiometric calibration coefficient uncertainties, relative radiometric calibration coefficient uncertainties, signal-to-noise ratios, data quality indicators, and threshold parameters.)
This is the browse data associated with a particular granule. (Suggested Usage: This file contains the Browse data associated with the production of a particular product granule. The primary purpose of this file is the systematic QA analysis to be performed at the MISR SCF.)
This file contains the FIRSTLOOK Radiometric camera-by-camera Cloud Mask (RCCM) dataset produced using ancillary inputs (RCCT) from the previous time period. It is used to determine whether a scene is clear, cloudy or dusty (over ocean). (Suggested Usage: The RCCM is used during geophysical parameter retrievals. In the TOA/Cloud Product,RCCM is combined with stereoscopically derived cloud mask to 1) establish values of the Reflecting Level Reference Altitude,2) determine how a scene is classified for choosing angular integration coefficients for establishing TOA albedos,and 3) calculate regional scene classifiers. Retrieval of Aerosol/Surface Product properties requires the abscence of clouds,for retrieval assumptions to be valid.)
This file contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid
Level 1A Calibration data in DN.The data numbers have been commuted from 12-bit numbers to 16-bit,byte aligned half-words. (Suggested Usage: MISR SCF processing needs the MISR CCD science data which has been formatted as 16-bit,byte-aligned & linearly encoded values derived from raw MISR L0 CCD science data.It will evaluate the values while performing calibration analysis of the MISR instrument.Data represents all 9 cameras & 4 spectral bands collected during calibration operations.A 2 bit data quality indicator,generated during standard processing,is stored in the 2 least significant bits of each digital number (DN))
This is the Reformatted Annotated Level 1A product for the CCD science data. The data numbers (DN) have been commuted from 12-bit numbers to 16-bit byte aligned half-words. (Suggested Usage: MISR L1B1 (radiance conversion) processing needs the MISR CCD science data which has been formatted as 16-bit,byte-aligned and linearly encoded values derived from the raw MISR LO CCD science data.The data represents all 9 cameras & 4 spectral bands collected during routine science observations of the sunlit portion of the Earth.A two bit data quality indicator,generated during standard processing,is stored in the least significant bits of each digital number (DN).)
This is the Reformatted Annotated Level 1A product for the camera Engineering data,which represents indicators of sampled measurements for that MISR instrument. (Suggested Usage: MISR Level 1 and Geometric Calibration processing can use the MISR engineering camera instrument data to analyze MISR Level 1 and Geometric Calibraton processing can use the MISR engineering instrument data to analyze the state of the instrument.The contents include:temperatures,voltages and currents of optical bench,calibration-diodes,system electronics and mechanisms.)
This is the Reformatted Annotated Level 1A Product for the Navigation Data, which contains samples of the EOS-AM1 Platform position and attitude data. (Suggested Usage: MISR Level 1 and Geometric Calibration processing can use the MISR navigation data as a backup to the SDP Toolkit-supplied navigation data. It includes all of the spacecraft position,velocity,attitude and attitude rate data extracted from the Command and Telemetry Bus during the length of one MISR Orbit.)
This is the Local Mode Level 1B1 Product containing the DNs radiometrically scaled to radiances with no geometric resampling (Suggested Usage: The MISR Instrument can also acquire data in what is referred to as Local Mode,which provides high resolution(unaveraged) images in all 4 bands of all 9 cameras for selected earthtargets.Data obtained from Local Mode sites will be used for new algorithm development,Specialized research,calibration,field validation,instrument intercomparisons,or other purposes at the MISR SCF.This parameter provides swath Local Mode data which has not been geometrically resampled.)
This is the Level 1B1 Product containing the DNs radiometrically-scaled to radiances with no geometric resampling
This file contains Ellipsoid-projected TOA Radiance,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22
This file contains the ellipsoid projected TOA parameters for the single local mode scene,resampled to WGS84 ellipsoid
This file contains the terrain-projected TOA radiance for the single local mode scene,resampled at the surface and topographically corrected.
This file contains Terrain-projected TOA Radiance,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22
This is the Level 2 Aerosol Product.It contains Aerosol optical depth and particle type, with associated atmospheric data.
This is the Level 2 FIRSTLOOK Aerosol Product. It contains Aerosol optical depth and particle type, with associated atmospheric data, produced using ancillary inputs from the previous time period. (Suggested Usage: To study the magnitude and natural variability in space & time of sunlight & cloud interactions with aerosols in the earth's atmosphere & to determine their effect on climate;to improve knowledge of sources,sinks & global budgets of aerosols; & to provide atmospheric correction inputs for surface imaging data acquired by MISR & other instruments that are simultaniously viewing the same portion of the earth,for the purpose of making better quantitative estimates of surface reflectance.)
This Level 2 FIRSTLOOK Land Surface product contains directional reflectance properties,albedo(spectral & PAR integrated),FPAR,radiation parameters & terrain-referenced geometric parameters, produced using ancillary input from the previous time period. (Suggested Usage: To characterize bidirectional reflectance properties of terrestrial surface,as a function of space,time and surface type;to study, on a global basis,the magnitude and natural variability in space and time of sunlight absorption and scattering by the earth's surface;to provide improved measures of land surface classification and dynamics in conjunction with MODIS.)
This is the Level 2 FIRSTLOOK TOA/Cloud Albedo Product. It contains local,restrictive, and expansive albedo, with associated data, produced using ancillary inputs from the previous time period. (Suggested Usage: To study, on a global basis, the effects of different types of cloud fields on the spectral solar radiance and irradiance reflected to space, including spatial and temporal dependences.)
This is the Level 2 FIRSTLOOK TOA/Cloud Classifiers Product. It contains the Angular Signature Cloud Mask (ASCM), Cloud Classifiers, and Support Vector Machine classifiers, produced using ancillary inputs (TASC) from the previous time period. (Suggested Usage: To study, on a global basis, the effects of different types of cloud fields on the spectral solar radiance and irradiance reflected to space, including spatial and temporal dependences.)
This is the Level 2 FIRSTLOOK TOA/Cloud Stereo Product. It contains the Stereoscopically Derived winds, heights and cloud mask along with associated data, produced using ancillary inputs (TASC) from the previous time period. (Suggested Usage: To study, on a global basis, the effects of different types of cloud fields on the spectral solar radiance and irradiance reflected to space, including spatial and temporal dependences.)
This Level 2 Land Surface product contains information on land directional reflectance properties,albedos(spectral & PAR integrated),FPAR,asssociated radiation parameters & terrain-referenced geometric parameters.
This is the Level 2 TOA/Cloud Albedo Product. It contains local,restrictive, and expansive albedo, with associated data.
This is the Level 2 TOA/Cloud Classifiers Product. It contains the Angular Signature Cloud Mask (ASCM), Regional Cloud Classifiers, Cloud Shadow Mask, and Topographic Shadow Mask, with associated data.
This is the Level 2 TOA/Cloud Product containing the Stereo Heights, Stereoscopically Derived Cloud Mask (SDCM) and Cloud Motion Vectors with associated data. (Suggested Usage: To study, on a global basis, the distribution and correlation of cloud heights and motion vectors as well as case studies of particular scenes.)
This is the Level 2 TOA/Cloud Stereo Product. It contains the Stereoscopically Derived Cloud Mask (SDCM), cloud winds, Reflecting Level Reference Altitude (RLRA), with associated data.
This file contains the public MISR Level 3 Cloud Fraction by Altitude Product covering a day (Suggested Usage: This file contains global cloud fraction binned by height covering a day)
This file contains the public MISR Level 3 Cloud Fraction by Altitude Product covering a month (Suggested Usage: This file contains global cloud fraction binned by height covering a month)
This file contains the public MISR Level 3 Cloud Fraction by Altitude Product covering a quarter (seasonal) (Suggested Usage: This file contains global cloud fraction binned by height covering a quarter (seasonal))
This file contains the public MISR Level 3 Cloud Fraction by Altitude Product covering a year (Suggested Usage: This file contains global cloud fraction binned by height covering a year)
This file contains the MISR Level 3 Cloud Motion Vector monthly Product in netCDF format (Suggested Usage: This file contains one month of MISR Level 2 TC_STEREO cloud motion retrievals)
This file contains the MISR Level 3 Cloud Motion Vector monthly Product in netCDF format (Suggested Usage: This file contains one month of MISR Level 2 Cloud height-resolved cloud motion vectors)
This file contains the MISR Level 3 Cloud Motion Vector quarterly Product in netCDF format (Suggested Usage: This file contains one quarter of MISR Level 2 TC_STEREO cloud motion retrievals)
This file contains the MISR Level 3 Cloud Motion Vector quarterly Product in netCDF format (Suggested Usage: This file contains one quarter of MISR Level 2 Cloud height-resolved cloud motion vectors)
This file contains the MISR Level 3 Cloud Motion Vector yearly Product in netCDF format (Suggested Usage: This file contains one year of MISR Level 2 TC_STEREO cloud motion retrievals)
This file contains the MISR Level 3 Cloud Motion Vector yearly Product in netCDF format (Suggested Usage: This file contains one year of MISR Level 2 Cloud height-resolved cloud motion vectors)
This file contains the MISR Level 3 Component Global Aerosol Product covering a day (Suggested Usage: This file contains the global aerosol product binned covering a day's products........)
This file contains the MISR Level 3 Component Global Aerosol Product covering a month (Suggested Usage: This file contains the global aerosol product binned covering a month's products........)
This file contains the MISR Level 3 Component Global Aerosol Product covering a quarter (seasonal) (Suggested Usage: This file contains the global aerosol product binned covering a quarter's (seasonal) products)
This file contains the MISR Level 3 Component Global Aerosol Product covering a year (Suggested Usage: This file contains the global aerosol product binned covering a year's products)
This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a day (Suggested Usage: This file contains the global aerosol product binned in netCDF format covering a day's products)
This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a month (Suggested Usage: This file contains the global aerosol product binned in netCDF format covering a month's products)
This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a year (Suggested Usage: This file contains the global aerosol product binned in netCDF format covering a year's products)
This file contains the MISR Level 3 Component Global Aerosol Regional public Product covering a day (Suggested Usage: This file contains the global aerosol regional public product binned covering a day's products)
This file contains the MISR Level 3 Component Global Aerosol Regional public Product covering a month (Suggested Usage: This file contains the global aerosol regional public product binned covering a month's products)
This file contains the MISR Level 3 Component Global Aerosol product in netCDF format covering a quarter (seasonal) (Suggested Usage: This file contains the global aerosol product binned in netCDF format covering a quarter's (seasonal) products)
MISR Level 3 Component Global Albedo publicly available product covering a day to be used starting with MISR Release V3.2. (Suggested Usage: This file contains the global albedo product binned covering a day)
MISR Level 3 Component Global Albedo publicly available product covering a month to be used starting with MISR Release V3.2. (Suggested Usage: This file contains the global albedo product binned covering a month)
MISR Level 3 Component Global Albedo publicly available product covering a quarter (seasonal) to be used starting with MISR Release V3.2. (Suggested Usage: This file contains the global albedo product binned covering a quarter (seasonal) products)
MISR Level 3 Component Global Albedo publicly available product covering a year to be used starting with MISR Release V3.2. (Suggested Usage: This file contains the global albedo product binned covering a year's products)
MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a day. (Suggested Usage: This file contains the global albedo product binned in netCDF format covering a day)
MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a month. (Suggested Usage: This file contains the global albedo product binned in netCDF format covering a month)
MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a year. (Suggested Usage: This file contains the global albedo product binned in netCDF format covering a year's products)
MISR Level 3 Component Global Albedo publicly available product in netCDF format covering a quarter (seasonal). (Suggested Usage: This file contains the global albedo product binned in netCDF format covering a quarter's (seasonal) products)
This file contains the public MISR Level 3 Component Global Cloud Product covering a day (Suggested Usage: This file contains the public global cloud product binned covering a day's products)
This file contains the public MISR Level 3 Component Global Cloud Product covering a month (Suggested Usage: This file contains the public global cloud product binned covering a month's products)
This file contains the public MISR Level 3 Component Global Cloud Product covering a quarter (seasonal) (Suggested Usage: This file contains the public global cloud product binned covering a quarter's (seasonal) products)
This file contains the public MISR Level 3 Component Global Cloud Product covering a year (Suggested Usage: This file contains the public global cloud product binned covering a year's products)
This file contains the MISR Level 3 Component Global Land Product covering a day (Suggested Usage: This file contains the global land product binned covering a day's products........)
This file contains the MISR Level 3 Component Global Land Product covering a month (Suggested Usage: This file contains the global land product binned covering a month's products........)
This file contains the MISR Level 3 Component Global Land Product covering a quarter (seasonal) (Suggested Usage: This file contains the global land product binned covering a quarter's (seasonal) products)
This file contains the MISR Level 3 Component Global Land Product covering a year (Suggested Usage: This file contains the global land product binned covering a year's products)
This file contains the MISR Level 3 Component Global Land product in netCDF format covering a day (Suggested Usage: This file contains the global land product binned in netCDF format covering a day's products)
This file contains the MISR Level 3 Component Global Land product in netCDF format covering a month (Suggested Usage: This file contains the global land product binned in netCDF format covering a month's products)
This file contains the MISR Level 3 Component Global Land product in netCDF format covering a year (Suggested Usage: This file contains the global land product binned in netCDF format covering a year's products)
This file contains the MISR Level 3 Component Global Land Regional public Product covering a day (Suggested Usage: This file contains the global land regional public product binned covering a day's products)
This file contains the MISR Level 3 Component Global Land Regional public Product covering a month (Suggested Usage: This file contains the global land regional public product binned covering a month's products)
This file contains the MISR Level 3 Component Global Land product in netCDF format covering a quarter (seasonal) (Suggested Usage: This file contains the global land product binned in netCDF format covering a quarter's (seasonal) products)
This file contains the MISR Level 3 Component Global Radiance Product covering a day (Suggested Usage: This file contains the global radiance product binned covering a day)
This file contains the MISR Level 3 Component Global Radiance Product covering a month (Suggested Usage: This file contains the global radiance product binned covering a month)
This file contains the MISR Level 3 Component Global Radiance Product covering a quarter (seasonal) (Suggested Usage: This file contains the global radiance product binned covering a quarter (seasonal))
This file contains the MISR Level 3 Component Global Radiance Product covering a year (Suggested Usage: This file contains the global radiance product binned covering a year)
This file contains the MISR Level 3 Component Global Radiance Regional public Product covering a day (Suggested Usage: This file contains the global radiance regional public product binned covering a day's products)
This file contains the MISR Level 3 Component Global Radiance Regional public Product covering a month (Suggested Usage: This file contains the global radiance regional public product binned covering a month's products)
This file contains the MISR Level 3 FIRSTLOOK Component Global Aerosol Product covering a day (Suggested Usage: This file contains the global aerosol product binned covering a day's products........)
This file contains the MISR Level 3 FIRSTLOOK Component Global Aerosol Product covering a month (Suggested Usage: This file contains the global aerosol product binned covering a month's products........)
MISR Level 3 FIRSTLOOK Component Global Albedo publicly available product covering a day to be used starting with MISR Release V4.2. (Suggested Usage: This file contains the global albedo product binned covering a day)
MISR Level 3 FIRSTLOOK Component Global Albedo publicly available product covering a month to be used starting with MISR Release V4.2. (Suggested Usage: This file contains the global albedo product binned covering a month)
This file contains the public MISR Level 3 FIRSTLOOK Component Global Cloud Product covering a day (Suggested Usage: This file contains the public global cloud product binned covering a day's products)
This file contains the public MISR Level 3 FIRSTLOOK Component Global Cloud Product covering a month (Suggested Usage: This file contains the public global cloud product binned covering a month's products)
This file contains the MISR Level 3 FIRSTLOOK Component Global Land Product covering a day (Suggested Usage: This file contains the global land product binned covering a day's products........)
This file contains the MISR Level 3 FIRSTLOOK Component Global Land Product covering a month (Suggested Usage: This file contains the global land product binned covering a month's products........)
This file contains the MISR Level 3 FIRSTLOOK Component Global Radiance Product covering a day (Suggested Usage: This file contains the global radiance product binned covering a day)
This file contains the MISR Level 3 FIRSTLOOK Component Global Radiance Product covering a month (Suggested Usage: This file contains the global radiance product binned covering a month)
This file contains the MISR Level 3 FIRSTLOOK Component Global Aerosol product in netCDF format covering a day (Suggested Usage: This file contains the global aerosol product binned in netCDF format covering a day's products)
This file contains the MISR Level 3 FIRSTLOOK Component Global Aerosol product in netCDF format covering a month (Suggested Usage: This file contains the global aerosol product binned in netCDF format covering a month's products)
MISR Level 3 FIRSTLOOK Component Global Albedo publicly available product in netCDF format covering a day. (Suggested Usage: This file contains the global albedo product binned in netCDF format covering a day)
MISR Level 3 FIRSTLOOK Component Global Albedo publicly available product in netCDF format covering a month. (Suggested Usage: This file contains the global albedo product binned in netCDF format covering a month)
This file contains the public MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF format covering a day (Suggested Usage: This file contains the global cloud public product binned in netCDF format covering a day's products)
This file contains the MISR Level 3 FIRSTLOOK Global Cloud public Product in netCDF format covering a month (Suggested Usage: This file contains the global cloud public product binned in netCDF format covering a month's products)
This file contains the MISR Level 3 FIRSTLOOK Component Global Land product in netCDF format covering a day (Suggested Usage: This file contains the global land product binned in netCDF format covering a day's products)
This file contains the MISR Level 3 FIRSTLOOK Component Global Land product in netCDF format covering a month (Suggested Usage: This file contains the global land product binned in netCDF format covering a month's products)
This file contains the MISR Level 3 FIRSTLOOK Component Global Radiance product in netCDF format covering a day (Suggested Usage: This file contains the global radiance product binned in netCDF format covering a day)
This file contains the MISR Level 3 FIRSTLOOK Component Global Radiance product in netCDF format covering a month (Suggested Usage: This file contains the global radiance product binned in netCDF format covering a month)
This file contains the public MISR Level 3 Global Cloud public Product in netCDF format covering a day (Suggested Usage: This file contains the global cloud public product binned in netCDF format covering a day's products)
This file contains the MISR Level 3 Global Cloud public Product in netCDF format covering a month (Suggested Usage: This file contains the global cloud public product binned in netCDF format covering a month's products)
This file contains the MISR Level 3 Global Cloud public Product in netCDF format covering a quarter (seasonal) (Suggested Usage: This file contains the global cloud public product binned in netCDF format covering a quarter's (seasonal) products)
This file contains the MISR Level 3 Global Cloud public Product in netCDF format covering a year (Suggested Usage: This file contains the global cloud public product binned in netCDF format covering a year's products)
MISR Level 3 Global Joint Aerosol monthly product (Suggested Usage: This file contains MISR Level 3 Global Joint Aerosol monthly product, binned at 5 degree resolution.)
This file contains the output for the Level 1A Motor data (Suggested Usage: MISR SCF processing needs the MISR motor data samples for the analysis of motor anomalies or diagnosis of potential failures.The data are collected during calibration mode operations near the North and South poles and over the darkside of the Earth (or during science mode operations over the sunlit side of the Earth).)
This file contains the output for the Level 1A On-board Calibrator Data (Suggested Usage: MISR SCF processing needs the MISR OBC data to determine brightness and reflective characteristics of a MISR diffuser panel as observed by MISR's cameras.The data are during Calibration mode operations near the north and south pole and over the dark side of the Earth(or during science mode operations over the sun lit side of the Earth).)
This file contains the Radiometric camera-by-camera Cloud Mask dataset. It is used to determine whether a scene is classified as clear or cloudy. A new parameter has been added to indicate dust over ocean. This version of the ESDT is used by MISR PGE 13. (Suggested Usage: The RCCM is used during geophysical parameter retrievals. In the TOA/Cloud Product,RCCM is combined with stereoscopically derived cloud mask to 1) establish values of the Reflecting Level Reference Altitude,2) determine how a scene is classified for choosing angular integration coefficients for establishing TOA albedos,and 3) calculate regional scene classifiers. Retrieval of Aerosol/Surface Product properties requires the abscence of clouds,for retrieval assumptions to be valid.)
This is the Terrestrial Atmosphere and Surface Climatology used in Level 2 Processing. It is produced by the MISR SCF and shipped to the DAAC for generating MISR Level 2 products.
ML1OA is the EOS Aura Microwave Limb Sounder (MLS) product containing the level 1 orbit attitude and tangent point geolocation data. The current version is 2.3. Data coverage is complete from August 8, 2004 to current. Files contain a full days worth of data (15 orbits). Users of the ML1OA data product should read the 'A Short Guide to the Use and Interpretation of v2.2x Level 1 Data' for additional information (http://mls.jpl.nasa.gov/data/MLS-Aura_L1Quality_v02.2_2007d152.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 Hierarchical Data Format, or HDF5. Each file contains sets of HDF5 dataset objects (n-dimensional arrays) for each measurement. Included in the file are file attributes and metadata. There is one file per day.
ML1OA is the EOS Aura Microwave Limb Sounder (MLS) product containing the level 1 orbit attitude and tangent point geolocation data. The current version is 3.3/3.4. Data coverage is complete from August 8, 2004 to current. Files contain a full days worth of data (15 orbits). Users of the ML1OA data product should read the 'A Short Guide to the Use and Interpretation of v3.3/v3.4 Level 1 Data' for additional information (http://mls.jpl.nasa.gov/data/Level_1_ReadMe_2013-05-09.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 Hierarchical Data Format, or HDF5. Each file contains sets of HDF5 dataset objects (n-dimensional arrays) for each measurement. Included in the file are file attributes and metadata. There is one file per day.
ML1RADD is the EOS Aura Microwave Limb Sounder (MLS) product containing the level 1 radiances from the digital autocorrelators. The current version is 2.3. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), files contain a full days worth of data (15 orbits). Users of the ML1RADD data product should read the 'A Short Guide to the Use and Interpretation of v2.2x Level 1 Data' for additional information (http://mls.jpl.nasa.gov/data/MLS-Aura_L1Quality_v02.2_2007d152.pdf).

Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

The data are stored in the version 5 Hierarchical Data Format, or HDF5. Each file contains sets of HDF5 dataset objects (n-dimensional arrays) for each measurement. Included in the file are file attributes and metadata. There is one file per day.
ML1RADD is the EOS Aura Microwave Limb Sounder (MLS) product containing the level 1 radiances from the digital autocorrelators. The current version is 3.3/3.4. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), files contain a full days worth of data (15 orbits). Users of the ML1RADD data product should read the 'A Short Guide to the Use and Interpretation of v3.3/v3.4 Level 1 Data' for additional information (http://mls.jpl.nasa.gov/data/Level_1_ReadMe_2013-05-09.pdf).

Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

The data are stored in the version 5 Hierarchical Data Format, or HDF5. Each file contains sets of HDF5 dataset objects (n-dimensional arrays) for each measurement. Included in the file are file attributes and metadata. There is one file per day.
ML1RADG is the EOS Aura Microwave Limb Sounder (MLS) product containing the level 1 radiances from the filter banks for the GHz radiometers. The current version is 2.3. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), files contain a full days worth of data (15 orbits). Users of the ML1RADG data product should read the 'A Short Guide to the Use and Interpretation of v2.2x Level 1 Data' for additional information (http://mls.jpl.nasa.gov/data/MLS-Aura_L1Quality_v02.2_2007d152.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 Hierarchical Data Format, or HDF5. Each file contains sets of HDF5 dataset objects (n-dimensional arrays) for each measurement. The dataset objects represent data and geolocation fields; included in the file are file attributes and metadata. There is one file per day.
ML1RADG is the EOS Aura Microwave Limb Sounder (MLS) product containing the level 1 radiances from the filter banks for the GHz radiometers. The current version is 3.3/3.4. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), files contain a full days worth of data (15 orbits). Users of the ML1RADG data product should read the 'A Short Guide to the Use and Interpretation of v3.3/v3.4 Level 1 Data' for additional information (http://mls.jpl.nasa.gov/data/Level_1_ReadMe_2013-05-09.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 Hierarchical Data Format, or HDF5. Each file contains sets of HDF5 dataset objects (n-dimensional arrays) for each measurement. The dataset objects represent data and geolocation fields; included in the file are file attributes and metadata. There is one file per day.
ML1RADT is the EOS Aura Microwave Limb Sounder (MLS) product containing the level 1 radiances from the filter banks for the THz radiometer. The current version is 2.3. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), files contain a full days worth of data (15 orbits). Users of the ML1RADT data product should read the 'A Short Guide to the Use and Interpretation of v2.2x Level 1 Data' for additional information (http://mls.jpl.nasa.gov/data/MLS-Aura_L1Quality_v02.2_2007d152.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 Hierarchical Data Format, or HDF5. Each file contains sets of HDF5 dataset objects (n-dimensional arrays) for each measurement. The dataset objects represent data and geolocation fields; included in the file are file attributes and metadata. There is one file per day.
ML1RADT is the EOS Aura Microwave Limb Sounder (MLS) product containing the level 1 radiances from the filter banks for the THz radiometer. The current version is 3.3/3.4. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), files contain a full days worth of data (15 orbits). Users of the ML1RADT data product should read the 'A Short Guide to the Use and Interpretation of v3.3/v3.4 Level 1 Data' for additional information (http://mls.jpl.nasa.gov/data/Level_1_ReadMe_2013-05-09.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 Hierarchical Data Format, or HDF5. Each file contains sets of HDF5 dataset objects (n-dimensional arrays) for each measurement. The dataset objects represent data and geolocation fields; included in the file are file attributes and metadata. There is one file per day.
ML2BRO is the EOS Aura Microwave Limb Sounder (MLS) standard product for bromine monoxide derived from radiances measured by the 640 GHz radiometer. The current version is 2.2. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is between 10 and 3.16 hPa, and the vertical resolution is about 5.5 km (6 km at 3.16 hPa). Users of the ML2BRO data product should read section 3.2 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2BRO is the EOS Aura Microwave Limb Sounder (MLS) standard product for bromine monoxide derived from radiances measured by the 640 GHz radiometer. The current version is 3.3. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is between 10 and 3.16 hPa, and the vertical resolution is about 5.5 km (6 km at 3.16 hPa). Users of the ML2BRO data product should read section 3.2 of the EOS MLS Level 2 Version 3.3 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3-3_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2CO is the EOS Aura Microwave Limb Sounder (MLS) standard product for carbon monoxide derived from radiances measured by the 640 GHz radiometer. The current version is 2.2. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is between 215 and 0.00464 hPa, and the vertical resolution is about 6 km. Users of the ML2CO data product should read section 3.5 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.


      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2CO is the EOS Aura Microwave Limb Sounder (MLS) standard product for carbon monoxide derived from radiances measured by the 640 GHz radiometer. The current version is 3.3/3.4. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is between 215 and 0.00464 hPa, and the vertical resolution is about 6 km. Users of the ML2CO data product should read section 3.6 of the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.


      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2CLO is the EOS Aura Microwave Limb Sounder (MLS) standard product for chlorine monoxide derived from radiances measured primarily by the 640 GHz radiometer. The current version is 2.2. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is between 100 and 1.0 hPa, and the vertical resolution varies between 3 and 4.5 km. Users of the ML2CLO data product should read section 3.4 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).

            Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

            The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2CLO is the EOS Aura Microwave Limb Sounder (MLS) standard product for chlorine monoxide derived from radiances measured primarily by the 640 GHz radiometer. The current version is 3.3/3.4. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is between 147 and 1.0 hPa, and the vertical resolution varies between 3 and 4.5 km. Users of the ML2CLO data product should read section 3.5 of the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).

            Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

            The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2IWC is the EOS Aura Microwave Limb Sounder (MLS) standard product for cloud ice water content derived from radiances measured by the 240 GHz radiometer. The current version is 2.2. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 261 to 68.1 hPa, and the vertical resolution is about 3 km. Users of the ML2IWC data product should read section 3.13 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2IWC is the EOS Aura Microwave Limb Sounder (MLS) standard product for cloud ice water content derived from radiances measured by the 240 GHz radiometer. The current version is 3.3/3.4. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 215 to 82.5 hPa, and the vertical resolution is about 3 km. Users of the ML2IWC data product should read sections 3.14 and 3.15 of the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2DGG is the EOS Aura Microwave Limb Sounder (MLS) product containing geophysical diagnostic quantities pertaining directly to the standard geophysical data products, generally on a similar (or identical) grid, and at different spectral ranges. The current version is 2.2. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). Vertical resolution varies between species and typically ranges from 3 - 6 km. Users of the ML2DGG data product should read the Supplement to Version 1.5 Level 2 Data Quality and Description Document for more information (http://mls.jpl.nasa.gov/data/v1-5-supplement-29jul05b.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contain swaths objects for each diagnostics measurement. Each swath has a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2DGG is the EOS Aura Microwave Limb Sounder (MLS) product containing geophysical diagnostic quantities pertaining directly to the standard geophysical data products, generally on a similar (or identical) grid, and at different spectral ranges. The current version is 3.3/3.4. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). Vertical resolution varies between species and typically ranges from 3 - 6 km. Users of the ML2DGG data product should read the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contain swaths objects for each diagnostics measurement. Each swath has a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2DGM is the EOS Aura Microwave Limb Sounder (MLS) product containing the minor frame diagnostic quantities on a miscellaneous grid. These include items such as tangent pressure, chi-square describing various fits to the measured radiances, number of radiances used in variious retrieval phases, etc. This product contains a second auxillary file which includes cloud-induced radiances inferred for selected spectral channels. The current version is 2.2. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). Vertical resolution varies between species and typically ranges from 3 - 6 km. Users of the ML2DGM data product should read the Supplement to Version 1.5 Level 2 Data Quality and Description Document for more information (http://mls.jpl.nasa.gov/data/v1-5-supplement-29jul05b.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 Hierarchical Data Format, or HDF5. Each file contains sets of HDF5 dataset objects (n-dimensional arrays) for each diagnostics measurement. The dataset objects represent data and geolocation fields; included in the file are file attributes and metadata. There are two files per day (MLS-Aura_L2AUX-DGM* and MLS-Aura_L2AUX-Cloud*).
ML2DGM is the EOS Aura Microwave Limb Sounder (MLS) product containing the minor frame diagnostic quantities on a miscellaneous grid. These include items such as tangent pressure, chi-square describing various fits to the measured radiances, number of radiances used in variious retrieval phases, etc. This product contains a second auxillary file which includes cloud-induced radiances inferred for selected spectral channels. The current version is 3.3/3.4. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). Vertical resolution varies between species and typically ranges from 3 - 6 km. Users of the ML2DGM data product should read the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 Hierarchical Data Format, or HDF5. Each file contains sets of HDF5 dataset objects (n-dimensional arrays) for each diagnostics measurement. The dataset objects represent data and geolocation fields; included in the file are file attributes and metadata. There are two files per day (MLS-Aura_L2AUX-DGM* and MLS-Aura_L2AUX-Cloud*).
ML2GPH is the EOS Aura Microwave Limb Sounder (MLS) standard product for geopotential height derived from radiances measured by the 118 and 240 GHz radiometers. The current version is 2.2. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is between 316 and 0.001 hPa, and the vertical resolution varies between 5 and 8 km. Users of the ML2GPH data product should read section 3.6 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).
      
      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.
      
      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2GPH is the EOS Aura Microwave Limb Sounder (MLS) standard product for geopotential height derived from radiances measured by the 118 and 240 GHz radiometers. The current version is 3.3/3.4. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is between 261 and 0.001 hPa, and the vertical resolution varies between ~3.6 and 6 km. Users of the ML2GPH data product should read section 3.7 of the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).
      
      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.
      
      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2HCL is the EOS Aura Microwave Limb Sounder (MLS) standard product for  hydrogen chloride derived from radiances measured primarily by the 640 GHz radiometer. The current version is 2.2. Spatial coverage is near-global (-82 ¬∞ to +82 ¬∞ latitude), with each profile spaced 1.5 ¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 100 to 0.146 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML2HCL data product should read section 3.8 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2HCL is the EOS Aura Microwave Limb Sounder (MLS) standard product for  hydrogen chloride derived from radiances measured primarily by the 640 GHz radiometer. The current version is 3.3/3.4. Spatial coverage is near-global (-82  deg. to +82  deg. latitude), with each profile spaced 1.5  deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 100 to 0.316 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML2HCL data product should read section 3.9 of the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2HCN is the EOS Aura Microwave Limb Sounder (MLS) standard product for  hydrogen cyanide derived from radiances measured primarily by the 190 GHz radiometer. The current version is 2.2. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 10 to 0.1 hPa, and the vertical resolution is between 8 and 12 km. Users of the ML2HCN data product should read section 3.9 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).
      
      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.
      
      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2HCN is the EOS Aura Microwave Limb Sounder (MLS) standard product for  hydrogen cyanide derived from radiances measured primarily by the 190 GHz radiometer. The current version is 3.3/3.4. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 10 to 0.1 hPa, and the vertical resolution is between 8 and 12 km. Users of the ML2HCN data product should read section 3.10 of the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).
      
      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.
      
      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2HO2 is the EOS Aura Microwave Limb Sounder (MLS) standard product for  hydroperoxy derived from radiances measured in two bands from the 640 GHz radiometer. The current version is 2.2. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 21.5 to 0.0315 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML2HO2 data product should read section 3.11 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2HO2 is the EOS Aura Microwave Limb Sounder (MLS) standard product for  hydroperoxy derived from radiances measured in two bands from the 640 GHz radiometer. The current version is 3.3/3.4. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 21.5 to 0.0464 hPa, and the vertical resolution is about 5 km. Users of the ML2HO2 data product should read section 3.12 of the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2OH is the EOS Aura Microwave Limb Sounder (MLS) standard product for  hydroxyl derived from radiances measured by the THz radiometer. The current version is 2.2. Data coverage is from August 8, 2004 to December 12, 2009 when the THz radiometer was placed in standby mode. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 31.6 to 0.00316 hPa, and the vertical resolution is about 3. Users of the ML2OH data product should read section 3.17 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2OH is the EOS Aura Microwave Limb Sounder (MLS) standard product for  hydroxyl derived from radiances measured by the THz radiometer. The current version is 3.3/3.4. Data coverage is from August 8, 2004 to December 12, 2009 when the THz radiometer was placed in standby mode. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 31.6 to 0.00316 hPa, and the vertical resolution is about 3. Users of the ML2OH data product should read section 3.18 of the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2HOCL is the EOS Aura Microwave Limb Sounder (MLS) standard product for  hypochlorous acid derived from radiances measured primarily by the 640 GHz radiometer. The current version is 2.2. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 10 to 2.15 hPa, and the vertical resolution is about 6 km. Users of the ML2OHCL data product should read section 3.12 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2HOCL is the EOS Aura Microwave Limb Sounder (MLS) standard product for  hypochlorous acid derived from radiances measured primarily by the 640 GHz radiometer. The current version is 3.3. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 10 to 2.15 hPa, and the vertical resolution is about 6 km. Users of the ML2OHCL data product should read section 3.13 of the EOS MLS Level 2 Version 3.3 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3-3_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2CH3CL is the EOS Aura Microwave Limb Sounder (MLS) standard product for methyl chloride derived from radiances measured by the 640 GHz radiometer. The current version is 3.3. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is between 147 and 4.64 hPa, and the vertical resolution ranges between 4-6 km in the lower stratosphere and 8-10 km above 14 hPa. Users of the ML2CH3CL data product should read section 3.3 of the EOS MLS Level 2 Version 3.3 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3-3_data_quality_document.pdf).
      
      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.
      
      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains one swath object (with profile data), with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2CH3CN is the EOS Aura Microwave Limb Sounder (MLS) standard product for methyl cyanide derived from radiances measured by the 190 GHz radiometer. The current version is 2.2, and the usefulness of the data remains to be determined. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is still to be determined, and the vertical resolution ranges between ~5 km in the lower stratosphere and ~10 km in the upper stratosphere. Users should consult the MLS science team before using the ML2CH3CN data product (see section 3.3 of the EOS MLS Level 2 Version 2.2 Quality Document at (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).
      
      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.
      
      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains one swath object (with profile data), with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2CH3CN is the EOS Aura Microwave Limb Sounder (MLS) standard product for methyl cyanide derived from radiances measured by the 640 GHz radiometer. The current version is 3.3/3.4. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is between 46.4 and 1.0 hPa, and the vertical resolution ranges between ~5 km in the lower stratosphere and ~10 km in the upper stratosphere. Users of the ML2CH3CN data product should read section 3.4 of the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).
      
      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.
      
      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains one swath object (with profile data), with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2HNO3 is the EOS Aura Microwave Limb Sounder (MLS) standard product for nitric acid derived from radiances measured by the 240 GHz radiometer at and below 10 hPa, and from the 190 GHz radiometer above 10 hPa. The current version is 2.2. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 215 to 3.16 hPa, and the vertical resolution is between about 3 and 5 km. Users of the ML2HNO3 data product should read section 3.10 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).

            Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

            The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2HNO3 is the EOS Aura Microwave Limb Sounder (MLS) standard product for nitric acid derived from radiances measured by the 240 GHz radiometer at and below 10 hPa, and from the 190 GHz radiometer above 10 hPa. The current version is 3.3/3.4. Data coverage is complete from August 8, 2004 to current. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 215 to 1.47 hPa, and the vertical resolution is between about 3 and 5 km. Users of the ML2HNO3 data product should read section 3.11 of the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).

            Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

            The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2N2O is the EOS Aura Microwave Limb Sounder (MLS) standard product for nitrous oxide derived from radiances measured primarily by the 640 GHz radiometer (Band 12) until August 6, 2013, after this date using the 190 GHz radiometer (Band 3). The current version is 2.2. Spatial coverage is near-global (-82&deg; to +82&deg; latitude), with each profile spaced 1.5&deg; or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 100 to 1.0 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML2N2O data product should read section 3.15 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).

Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2N2O is the EOS Aura Microwave Limb Sounder (MLS) standard product for nitrous oxide derived from radiances measured primarily by the 640 GHz radiometer (Band 12) until August 6, 2013, after this date using the 190 GHz radiometer (Band 3). The current version is 3.3/3.4. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 100 to 0.464 hPa, and the vertical resolution is between 4 and 6 km. Users of the ML2N2O data product should read section 3.16 of the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).

Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2O3 is the EOS Aura Microwave Limb Sounder (MLS) standard product for ozone derived from radiances measured by the 240 GHz radiometer. The current version is 2.2. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 215 to 0.0215 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML2O3 data product should read section 3.16 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2O3 is the EOS Aura Microwave Limb Sounder (MLS) standard product for ozone derived from radiances measured by the 240 GHz radiometer. The current version is 3.3/3.4. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 261 to 0.0215 hPa, and the vertical resolution is between 2.5 and 6 km. Users of the ML2O3 data product should read section 3.17 of the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2RHI is the EOS Aura Microwave Limb Sounder (MLS) standard product for relative humidity with respect to ice derived from radiances measured by the 118 and 190 GHz radiometers. The current version is 2.2. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 316 to 0.0215 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML2RHI data product should read section 3.118 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2RHI is the EOS Aura Microwave Limb Sounder (MLS) standard product for relative humidity with respect to ice derived from radiances measured by the 118 and 190 GHz radiometers. The current version is 3.3/3.4. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 316 to 0.0215 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML2RHI data product should read section 3.19 of the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2SO2 is the EOS Aura Microwave Limb Sounder (MLS) standard product for sulfur dioxide derived from radiances measured by the 240 GHz radiometer. The current version is 2.2. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 215 to 10 hPa, and the vertical resolution is about 3 km. Users of the ML2SO2 data product should read section 3.19 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2SO2 is the EOS Aura Microwave Limb Sounder (MLS) standard product for sulfur dioxide derived from radiances measured by the 240 GHz radiometer. The current version is 3.3/3.4. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 215 to 10 hPa, and the vertical resolution is about 3 km. Users of the ML2SO2 data product should read section 3.20 of the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2T is the EOS Aura Microwave Limb Sounder (MLS) standard product for temperature derived from radiances measured by the 118 and 240 GHz radiometers. The current version is 2.2. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 316 to 0.001 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML2T data product should read section 3.20 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2T is the EOS Aura Microwave Limb Sounder (MLS) standard product for temperature derived from radiances measured by the 118 and 240 GHz radiometers. The current version is 3.3/3.4. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 261 to 0.001 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML2T data product should read section 3.21 of the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).

      Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

      The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2H2O is the EOS Aura Microwave Limb Sounder (MLS) standard product for water vapor derived from radiances measured primarily by the 190 GHz radiometer. The current version is 2.2. Spatial coverage is near-global (-82¬∞ to +82¬∞ latitude), with each profile spaced 1.5¬∞ or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is between 316 and 0.00215 hPa, and the vertical resolution is about 1.5 km at 316 hPa increasing to 3.5 km to 4.64 hPa, and degrades to 15 km above 0.1 hPa. Users of the ML2H2O data product should read section 3.7 of the EOS MLS Level 2 Version 2.2 Quality Document for more information (http://mls.jpl.nasa.gov/data/v2-2_data_quality_document.pdf).

            Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

            The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2H2O is the EOS Aura Microwave Limb Sounder (MLS) standard product for water vapor derived from radiances measured primarily by the 190 GHz radiometer. The current version is 3.3/3.4. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is between 316 and 0.00215 hPa, and the vertical resolution is about 1.5 km at 316 hPa increasing to 3.5 km to 4.64 hPa, and degrades to 15 km above 0.1 hPa. Users of the ML2H2O data product should read section 3.8 of the EOS MLS Level 2 Version 3.3 and 3.4 Quality Document for more information (http://mls.jpl.nasa.gov/data/v3_data_quality_document.pdf).

            Users are encouraged to register with the MLS science team at https://mls.jpl.nasa.gov/forms/reguser.php to obtain updates and information about this data product.

            The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. Each file contains two swath objects (one with profile data, the other with column data), each with a set of data and geolocation fields, swath attributes, and metadata. The data fields include the geophysical parameter values and precision (standard deviation), convergence values, data quality, and a status flag. The geolocation fields include a time stamp in TAI-93 format (seconds since January 1, 1993), geodetic latitude and longitude, and pressure level values, as well as local solar time, solar zenith angle, line of sight angle, and orbit geodetic angle. There is one file per day.
ML2CO_NRT is the EOS Aura Microwave Limb Sounder (MLS) Near-Real-Time (NRT) product for carbon monoxide (CO). This product contains daily CO profiles taken from the 640 GHz band. The most recent 7 days of data are available. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range of NRT Carbon Monoxide profiles is 215 - 0.00464 hPa. There are about 96 NRT files per day containing roughly 15 minutes or less of data each.

Before using these data, please download both the MLS version 3.4 NRT User Guide which describes the NRT algorithm and data quality, as well as the MLS Level-2 Data Quality Document for Standard Products which describes the caveats for using MLS CO data. MLS documentation can be found at http://disc.sci.gsfc.nasa.gov/Aura/additional/documentation/.
            
Users are encouraged to register with the MLS team at http://mls.jpl.nasa.gov/ to obtain updates and information about this product from the MLS team.
ML2HNO3_NRT is the EOS Aura Microwave Limb Sounder (MLS) Near-Real-Time (NRT) product for nitric acid (HNO3). This product contains daily HNO3 profiles taken from the 240 GHz (P >= 21.5 hPa) and 190 GHz (P < 21.5 hPa) bands. The most recent 7 days of data are available. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range of NRT Nitric Acid profiles is 215 - 1.47 hPa. There are about 96 NRT files per day containing roughly 15 minutes or less of data each.

Before using these data, please download both the MLS version 3.4 NRT User Guide which describes the NRT algorithm and data quality, as well as the MLS Level-2 Data Quality Document for Standard Products which describes the caveats for using MLS HNO3 data. MLS documentation can be found at http://disc.sci.gsfc.nasa.gov/Aura/additional/documentation/.
            
Users are encouraged to register with the MLS team at http://mls.jpl.nasa.gov/ to obtain updates and information about this product from the MLS team.
ML2N2O_NRT is the EOS Aura Microwave Limb Sounder (MLS) Near-Real-Time (NRT) product for nitrous oxide (N2O). This product contains daily N2O profiles taken from the 640 GHz band. The most recent 7 days of data are available. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range of NRT Nitrous Oxide profiles is 100 - 0.464 hPa. There are about 96 NRT files per day containing roughly 15 minutes or less of data each.

Before using these data, please download both the MLS version 3.4 NRT User Guide which describes the NRT algorithm and data quality, as well as the MLS Level-2 Data Quality Document for Standard Products which describes the caveats for using MLS N2O data. MLS documentation can be found at http://disc.sci.gsfc.nasa.gov/Aura/additional/documentation/.
            
Users are encouraged to register with the MLS team at http://mls.jpl.nasa.gov/ to obtain updates and information about this product from the MLS team.
ML2O3_NRT is the EOS Aura Microwave Limb Sounder (MLS) Near-Real-Time (NRT) product for ozone (O3). This product contains daily O3 profiles taken from the 240 GHz band. The most recent 7 days of data are available. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range of NRT Ozone profiles is 261 - 0.0215 hPa. There are about 96 NRT files per day containing roughly 15 minutes or less of data each.

Before using these data, please download both the MLS version 3.4 NRT User Guide which describes the NRT algorithm and data quality, as well as the MLS Level-2 Data Quality Document for Standard Products which describes the caveats for using MLS O3 data. MLS documentation can be found at http://disc.sci.gsfc.nasa.gov/Aura/additional/documentation/.
            
Users are encouraged to register with the MLS team at http://mls.jpl.nasa.gov to obtain updates and information about this product from the MLS team.
ML2SO2_NRT is the EOS Aura Microwave Limb Sounder (MLS) Near-Real-Time (NRT) product for sulfur dioxide (SO2). This product contains daily SO2 profiles taken from the 240 GHz band. The most recent 7 days of data are available. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range of NRT Sulfur Dioxide profiles is 215 - 10.0 hPa. There are about 96 NRT files per day containing roughly 15 minutes or less of data each.

Before using these data, please download both the MLS version 3.4 NRT User Guide which describes the NRT algorithm and data quality, as well as the MLS Level-2 Data Quality Document for Standard Products which describes the caveats for using MLS SO2 data. MLS documentation can be found at http://disc.sci.gsfc.nasa.gov/Aura/additional/documentation/.
            
Users are encouraged to register with the MLS team at http://mls.jpl.nasa.gov/ to obtain updates and information about this product from the MLS team.
ML2T_NRT is the EOS Aura Microwave Limb Sounder (MLS) Near-Real-Time (NRT) product for temperature. This product contains daily temperature profiles taken from the 118 GHz O2 band. The most recent 7 days of data are available. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range of NRT Ozone profiles is 261 to 0.001 hPa. There are about 96 NRT files per day containing roughly 15 minutes or less of data each.

Before using these data, please download both the MLS version 3.4 NRT User Guide which describes the NRT algorithm and data quality, as well as the MLS Level-2 Data Quality Document for Standard Products which describes the caveats for using MLS O3 data. MLS documentation can be found at http://disc.sci.gsfc.nasa.gov/Aura/additional/documentation/.
            
Users are encouraged to register with the MLS team at http://mls.jpl.nasa.gov/ to obtain updates and information about this product from the MLS team.
ML2CO_NRT is the EOS Aura Microwave Limb Sounder (MLS) Near-Real-Time (NRT) product for water vapor (H2O). This product contains daily H2O profiles taken from the 190 GHz band. The most recent 7 days of data are available. Spatial coverage is near-global (-82 deg. to +82 deg. latitude), with each profile spaced 1.5 deg. or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range of NRT Water Vapor profiles is 316 - 0.00215 hPa. There are about 96 NRT files per day containing roughly 15 minutes or less of data each.

Before using these data, please download both the MLS version 3.3 NRT User Guide which describes the NRT algorithm and data quality, as well as the MLS Level-2 Data Quality Document for Standard Products which describes the caveats for using MLS H2O data. MLS documentation can be found at http://disc.sci.gsfc.nasa.gov/Aura/additional/documentation/.
            
Users are encouraged to register with the MLS team at http://mls.jpl.nasa.gov/ to obtain updates and information about this product from the MLS team.
Barnes MMR reflected radiance from calibration panels, adjusted for sun angle
Barnes MMR reflected radiance from calibration panels, adjusted for sun angle
ABSTRACT: Barnes MMR reflected radiance from calibration panels, adjusted for sun angle
Reflected radiance and reflectance values from Barnes MMR on ground
Reflected radiance and reflectance values from Barnes MMR on ground
ABSTRACT: Reflected radiance and reflectance values from Barnes MMR on ground
Site averaged reflected radiance & reflectance from Barnes MMR from helicopter
Site averaged reflected radiance & reflectance from Barnes MMR from helicopter
ABSTRACT: Site averaged reflected radiance & reflectance from Barnes MMR from helicopter
Leaf optical properties (reflectance & transmittance) measured by Univsity of Nebraska
Leaf optical properties (reflectance & transmittance) measured by Univsity of Nebraska
ABSTRACT: Leaf optical properties (reflectance & transmittance) measured by Univsity of Nebraska
This data set provides MODIS-derived surface biophysical climatologies of bidirectional distribution function  (BRDF), BDRF/albedo, land surface temperature (LST), leaf area index (LAI), and evapotranspiration (ET) as separate files for each of the MODIS land cover types, and four radiative forcing data files for four scenarios of potential vegetation shifts in North America. Each biophysical variable has temporal periods that represent the average of all 8-day periods from the years 2000-2012. The data have a spatial resolution of 0.05 degree (~5 km) and a temporal resolution of eight days. Additionally, a file containing diffuse fraction of surface downward solar radiation (DiffuseFraction) at a monthly scale, and a file containing snow water equivalent (SWE) are provided. The extent of the data covers the land area of North America, from 20 to 60 degrees N. The land-cover map used was synthesized from nine yearly 500-m MODIS land-cover layers (MCD12 Q1 Collection 5) for 2001-2008. These high-resolution land data were originally developed for quantifying biophysical forcing from land-use changes associated with forestry activities, such as radiative forcing from altered surface albedo.
This data set provides MODIS-derived surface biophysical climatologies of bidirectional distribution function  (BRDF), BDRF/albedo, land surface temperature (LST), leaf area index (LAI), and evapotranspiration (ET) as separate files for each of the MODIS land cover types, and four radiative forcing data files for four scenarios of potential vegetation shifts in North America. Each biophysical variable has temporal periods that represent the average of all 8-day periods from the years 2000-2012. The data have a spatial resolution of 0.05 degree (~5 km) and a temporal resolution of eight days. Additionally, a file containing diffuse fraction of surface downward solar radiation (DiffuseFraction) at a monthly scale, and a file containing snow water equivalent (SWE) are provided. The extent of the data covers the land area of North America, from 20 to 60 degrees N. The land-cover map used was synthesized from nine yearly 500-m MODIS land-cover layers (MCD12 Q1 Collection 5) for 2001-2008. These high-resolution land data were originally developed for quantifying biophysical forcing from land-use changes associated with forestry activities, such as radiative forcing from altered surface albedo.
ABSTRACT: This data set provides MODIS-derived surface biophysical climatologies of bidirectional distribution function  (BRDF), BDRF/albedo, land surface temperature (LST), leaf area index (LAI), and evapotranspiration (ET) as separate files for each of the MODIS land cover types, and four radiative forcing data files for four scenarios of potential vegetation shifts in North America. Each biophysical variable has temporal periods that represent the average of all 8-day periods from the years 2000-2012. The data have a spatial resolution of 0.05 degree (~5 km) and a temporal resolution of eight days. Additionally, a file containing diffuse fraction of surface downward solar radiation (DiffuseFraction) at a monthly scale, and a file containing snow water equivalent (SWE) are provided. The extent of the data covers the land area of North America, from 20 to 60 degrees N. The land-cover map used was synthesized from nine yearly 500-m MODIS land-cover layers (MCD12 Q1 Collection 5) for 2001-2008. These high-resolution land data were originally developed for quantifying biophysical forcing from land-use changes associated with forestry activities, such as radiative forcing from altered surface albedo.
MODIS 8-day clear-sky radiance bias (observed - calculated) statistics are provided for 1Deg latitudinal zones and selected thermal bands. Separation by day and night, and land and ocean are included. (Suggested Usage: Science Research )
MODIS/Aqua Aerosol 5-Min L2 Swath 10km
MODIS/Aqua Aerosol 5-Min L2 Swath 10km
MODIS/Aqua Aerosol 5-Min L2 Swath 10km
MODIS/Aqua Aerosol Cloud Water Vapor Ozone 8-Day L3 Global 1Deg CMG
MODIS/Aqua Aerosol Cloud Water Vapor Ozone 8-Day L3 Global 1Deg CMG
MODIS/Aqua Aerosol Cloud Water Vapor Ozone Daily L3 Global 1Deg CMG
MODIS/Aqua Aerosol Cloud Water Vapor Ozone Daily L3 Global 1Deg CMG
MODIS/Aqua Aerosol Cloud Water Vapor Ozone Monthly L3 Global 1Deg CMG
MODIS/Aqua Aerosol Cloud Water Vapor Ozone Monthly L3 Global 1Deg CMG
MYDATML2 contains a selection of the most useful atmosphere Level 2 aerosol, cloud and water vapor parameters at 5 and 10km spatial resolution. Native 1km cloud, water vapor and cloud mask fields are also included, but subsampled every 5th line and pixel.
MYDATML2 contains a selection of the most useful atmosphere Level 2 aerosol, cloud and water vapor parameters at 5 and 10km spatial resolution. Native 1km cloud, water vapor and cloud mask fields are also included, but subsampled every 5th line and pixel.
This Level 1B collection contains subsetted calibrated and geolocated radiances at-aperture for all 36 MODIS spectral bands at 1km resolution.
This Level 1B collection contains calibrated and geolocated radiances at-aperture for all 36 MODIS spectral bands at 1km resolution.
This Level 1B collection contains calibrated and geolocated radiances at-aperture for all 36 MODIS spectral bands at 1km resolution.
This Level 1B collection contains calibrated and geolocated radiances at-aperture for MODIS spectral bands 1 and 2 at 250m resolution.
This Level 1B collection contains calibrated and geolocated radiances at-aperture for MODIS spectral bands 1 and 2 at 250m resolution.
This Level 1B collection contains calibrated and geolocated radiances at-aperture for MODIS spectral bands 1 through 7 at 500m resolution.
This Level 1B collection contains calibrated and geolocated radiances at-aperture for MODIS spectral bands 1 through 7 at 500m resolution.
Level 2 granule clear-sky radiance (thermal bands) and reflectance (visible bands) statistics are indexed to a global grid map. Separate statistics for day and night modes in selected MODIS bands are included.
MODIS 8-day averaged clear-sky radiance (thermal bands) and reflectance (visible bands) statistics in selected MODIS bands are stored on a global grid map. Separation by day and night is included.
MODIS daily averaged clear-sky radiance (thermal bands) and reflectance (visible bands) statistics in selected MODIS bands are stored on a global grid map. Separation by day and night is included.
MODIS daily averaged clear-sky radiance (thermal bands) and reflectance (visible bands) statistics in selected MODIS bands are stored on a global grid map. Separation by day and night is included.
MODIS/Aqua Cloud Mask and Spectral Test Results 5-Min L2 Swath 250m and 1km
MODIS/Aqua Cloud Mask and Spectral Test Results 5-Min L2 Swath 250m and 1km
Level 2 daily global Cloud particle phase, effective particle radius, and cloud optical thickness derived from VNIR radiances. Cloud top temp, ht., effective emissivity, phase,&cloud fraction produced with IR retrieval methods at 5X5 1-km resolution.
Level 2 daily global Cloud particle phase, effective particle radius, and cloud optical thickness derived from VNIR radiances. Cloud top temp, ht., effective emissivity, phase,&cloud fraction produced with IR retrieval methods at 5X5 1-km resolution.
Level 2 daily global Cloud particle phase, effective particle radius, and cloud optical thickness derived from VNIR radiances. Cloud top temp, ht., effective emissivity, phase,&cloud fraction produced with IR retrieval methods at 5X5 1-km resolution.
Level 2 Coarse Resolution Sea Ice Cover 5-Min L2 5km...
Level 2 Coarse Resolution Snow Cover 5-Min L2 5km...
Level 2 Coarse Resolution Thermal Anomalies/Fire 5-Min L2 5km...
Level 3 Daily Aerosol Optical Thickness Daily L3 Global 0.05Deg CMG...
Geolocation collection contains geodetic latitude and longitude, surface height above geoid, solar zenith and azimuth angles, satellite zenith and azimuth angles, and a land/sea mask for each 1km sample. (Suggested Usage: Science Research )
Geolocation collection contains geodetic latitude and longitude, surface height above geoid, solar zenith and azimuth angles, satellite zenith and azimuth angles, and a land/sea mask for each 1km sample.
MODIS/Aqua Gross Primary Productivity 8-Day L4 Global 1km SIN Grid
Level 2 Land Surface Reflectance ...
Level 3 Land Surface Reflectance Daily L3 Global 0.05Deg CMG...
MODIS/Aqua Land Surface Temperature/Emissivity 5-Min L2 Swath 1km
MODIS/Aqua Land Surface Temperature/Emissivity 5-Min L2 Swath 1km
MODIS/Aqua Land Surface Temperature/Emissivity 5-Min L2 Swath 1km
MODIS/Aqua Land Surface Temperature/Emissivity 8-Day L3 Global 0.05Deg CMG
MODIS/Aqua Land Surface Temperature/Emissivity 8-Day L3 Global 0.05Deg CMG
MODIS/Aqua Land Surface Temperature/Emissivity 8-Day L3 Global 0.05Deg CMG
MODIS/Aqua Land Surface Temperature/Emissivity 8-Day L3 Global 1km SIN Grid
MODIS/Aqua Land Surface Temperature/Emissivity 8-Day L3 Global 1km SIN Grid
MODIS/Aqua Land Surface Temperature/Emissivity Daily L3 Global 0.05Deg CMG
MODIS/Aqua Land Surface Temperature/Emissivity Daily L3 Global 0.05Deg CMG
MODIS/Aqua Land Surface Temperature/Emissivity Daily L3 Global 0.05Deg CMG
MODIS/Aqua Land Surface Temperature/Emissivity Daily L3 Global 1km SIN Grid
MODIS/Aqua Land Surface Temperature/Emissivity Daily L3 Global 1km SIN Grid
MODIS/Aqua Land Surface Temperature/Emissivity Daily L3 Global 1km SIN Grid
MODIS/Aqua Land Surface Temperature/Emissivity Daily L3 Global 5km SIN Grid
MODIS/Aqua Land Surface Temperature/Emissivity Daily L3 Global 5km SIN Grid
MODIS/Aqua Land Surface Temperature/Emissivity Daily L3 Global 6km SIN Grid
MODIS/Aqua Land Surface Temperature/Emissivity Monthly L3 Global 0.05Deg CMG
MODIS/Aqua Land Surface Temperature/Emissivity Monthly L3 Global 0.05Deg CMG
MODIS/Aqua Land Surface Temperature/Emissivity Monthly L3 Global 0.05Deg CMG
MODIS/Aqua Leaf Area Index/FPAR 8-Day L4 Global 1km SIN Grid
Level 1A collection contains packetized raw detector counts for the 36 MODIS spectral bands as well as engineering and spacecraft ancillary data. Only bands 20 to 36 are used to collect measurements in night mode, while all bands are used in day mode.
MODIS/Aqua NRT value-added Aerosol Optical Depth Produc
Level 1A collection contains digitized raw detector counts for the 36 MODIS spectral bands as well as engineering and spacecraft ancillary data. Only bands 20 to 36 are used to collect measurements in night mode, while all bands are used in day mode. (Suggested Usage: Science Research )
Level 1A collection contains digitized raw detector counts for the 36 MODIS spectral bands as well as engineering and spacecraft ancillary data. Only bands 20 to 36 are used to collect measurements in night mode, while all bands are used in day mode.
Level 2 Sea Ice Cover 5-Min L2 1km...
MODIS/Aqua Sea Ice Extent 5-Min L2 Swath 1km
MODIS/Aqua Sea Ice Extent and IST Daily L3 Global 4km EASE-Grid Day
MODIS/Aqua Sea Ice Extent Daily L3 Global 1km EASE-Grid Day
MODIS/Aqua Sea Ice Extent Daily L3 Global 1km EASE-Grid Night
Level 2 Snow Cover 5-Min L2 500m...
MODIS/Aqua Snow Cover 5-Min L2 Swath 500m
MODIS Snow Cover Climate Modeling Grid (CMG), 8-Day Level 3 Global Product at 0.05Deg Resolution
MODIS/Aqua Snow Cover 8-Day L3 Global 500m SIN Grid
MODIS Snow Cover Climate Modeling Grid (CMG), Daily Level 3 Global Product at 0.05Deg Resolution
MODIS/Aqua Snow Cover Daily L3 Global 500m SIN Grid
MODIS Snow Cover Climate Modeling Grid (CMG), Monthly Level 3 Global Product at 0.05Deg Resolution
MODIS/Aqua Surface Reflectance 8-Day L3 Global 250m SIN Grid
MODIS/Aqua Surface Reflectance 8-Day L3 Global 500m SIN Grid
MODIS/Aqua Surface Reflectance Daily L2G Global 1km and 500m SIN Grid
MODIS/Aqua Surface Reflectance Daily L2G Global 250m SIN Grid
MODIS/Aqua Surface Reflectance Daily L3 Global 0.05Deg CMG
Level 2 Daily global Total Ozone Burden, Atmospheric Stability, Temperature and Moisture Profiles at 20 vertical levels for temperature and 15 levels for moisture, and Atmospheric Water Vapor at 5x5 1-km resolution when at least 9 FOVs are cloud free.
Level 2 Daily global Total Ozone Burden, Atmospheric Stability, Temperature and Moisture Profiles at 20 vertical levels for temperature and 15 levels for moisture, and Atmospheric Water Vapor at 5x5 1-km resolution when at least 9 FOVs are cloud free.
Level 2 Thermal Anomalies/Fire 5-Min L2 1km...
MODIS/Aqua Thermal Anomalies/Fire 5-Min L2 Swath 1km
MODIS/Aqua Thermal Anomalies/Fire 8-Day L3 Global 1km SIN Grid
MODIS/Aqua Thermal Anomalies/Fire Daily L3 Global 1km SIN Grid
This Level 2 data collection contains derived precipitable column water vapor amounts, during daytime using a near-infrared over clear land areas and above clouds over both land and ocean; water vapor estimates are provided over clear ocean areas.
This Level 2 data collection contains derived precipitable column water vapor amounts, during daytime using a near-infrared over clear land areas and above clouds over both land and ocean; water vapor estimates are provided over clear ocean areas.
This Level 2 data collection contains derived precipitable column water vapor amounts, during daytime using a near-infrared over clear land areas and above clouds over both land and ocean; water vapor estimates are provided over clear ocean areas.
MODIS/Aqua Vegetation Indices 16-Day L3 Global 0.05Deg CMG
MODIS/Aqua Vegetation Indices 16-Day L3 Global 1km SIN Grid
MODIS/Aqua Vegetation Indices 16-Day L3 Global 250m SIN Grid
MODIS/Aqua Vegetation Indices 16-Day L3 Global 500m SIN Grid
MODIS/Aqua Vegetation Indices Monthly L3 Global 0.05Deg CMG
MODIS/Aqua Vegetation Indices Monthly L3 Global 1km SIN Grid
MODIS 8-day clear-sky radiance bias (observed - calculated) statistics are provided for 1Deg latitudinal zones and selected thermal bands. Separation by day and night, and land and ocean are included. (Suggested Usage: Science Research )
MODIS/Terra Aerosol 5-Min L2 Swath 10km (Suggested Usage: Science Research )
MODIS/Terra Aerosol 5-Min L2 Swath 10km
MODIS/Terra Aerosol 5-Min L2 Swath 10km
MODIS/Terra Aerosol Cloud Water Vapor Ozone 8-Day L3 Global 1Deg CMG
MODIS/Terra Aerosol Cloud Water Vapor Ozone 8-Day L3 Global 1Deg CMG
MODIS/Terra Aerosol Cloud Water Vapor Ozone Daily L3 Global 1Deg CMG
MODIS/Terra Aerosol Cloud Water Vapor Ozone Daily L3 Global 1Deg CMG
MODIS/Terra Aerosol Cloud Water Vapor Ozone Monthly L3 Global 1Deg CMG
MODIS/Terra Aerosol Cloud Water Vapor Ozone Monthly L3 Global 1Deg CMG
Level 3 Daily Aerosol Optical Thickness Daily L3 Global 0.05Deg CMG...
MODATML2 contains a selection of the most useful atmosphere Level 2 aerosol, cloud and water vapor parameters at 5 and 10km spatial resolution. Native 1km cloud, water vapor and cloud mask fields are also included, but subsampled every 5th line and pixel.
MODATML2 contains a selection of the most useful atmosphere Level 2 aerosol, cloud and water vapor parameters at 5 and 10km spatial resolution. Native 1km cloud, water vapor and cloud mask fields are also included, but subsampled every 5th line and pixel.
This Level 1B collection contains subsetted calibrated and geolocated radiances at-aperture for all 36 MODIS spectral bands at 1km resolution.
This Level 1B collection contains calibrated and geolocated radiances at-aperture for all 36 MODIS spectral bands at 1km resolution.
This Level 1B collection contains calibrated and geolocated radiances at-aperture for all 36 MODIS spectral bands at 1km resolution.
This Level 1B collection contains calibrated and geolocated radiances at-aperture for MODIS spectral bands 1 and 2 at 250m resolution.
This Level 1B collection contains calibrated and geolocated radiances at-aperture for MODIS spectral bands 1 and 2 at 250m resolution.
This Level 1B collection contains calibrated and geolocated radiances at-aperture for MODIS spectral bands 1 through 7 at 500m resolution.
This Level 1B collection contains calibrated and geolocated radiances at-aperture for MODIS spectral bands 1 through 7 at 500m resolution.
Level 2 granule clear-sky radiance (thermal bands) and reflectance (visible bands) statistics are indexed to a global grid map. Separate statistics for day and night modes in selected MODIS bands are included.
MODIS 8-day averaged clear-sky radiance (thermal bands) and reflectance (visible bands) statistics in selected MODIS bands are stored on a global grid map. Separation by day and night is included.
MODIS daily averaged clear-sky radiance (thermal bands) and reflectance (visible bands) statistics in selected MODIS bands are stored on a global grid map. Separation by day and night is included.
MODIS daily averaged clear-sky radiance (thermal bands) and reflectance (visible bands) statistics in selected MODIS bands are stored on a global grid map. Separation by day and night is included.
MODIS/Terra Cloud Mask and Spectral Test Results 5-Min L2 Swath 250m and 1km
MODIS/Terra Cloud Mask and Spectral Test Results 5-Min L2 Swath 250m and 1km
Level 2 daily global Cloud particle phase, effective particle radius, and cloud optical thickness derived from VNIR radiances. Cloud top temp, ht., effective emissivity, phase,&cloud fraction produced with IR retrieval methods at 5x5 1-km resolution.
Level 2 daily global Cloud particle phase, effective particle radius, and cloud optical thickness derived from VNIR radiances. Cloud top temp, ht., effective emissivity, phase,&cloud fraction produced with IR retrieval methods at 5x5 1-km resolution.
Level 2 daily global Cloud particle phase, effective particle radius, and cloud optical thickness derived from VNIR radiances. Cloud top temp, ht., effective emissivity, phase,&cloud fraction produced with IR retrieval methods at 5x5 1-km resolution.
Level 2 Coarse Resolution Sea Ice Cover 5-Min L2 5km...
Level 2 Coarse Resolution Snow Cover 5-Min L2 5km...
Level 2 Coarse Resolution Thermal Anomalies/Fire 5-Min L2 5km...
Geolocation collection contains geodetic latitude and longitude, surface height above geoid, solar zenith and azimuth angles, satellite zenith and azimuth angles, and a land/sea mask for each 1km sample. (Suggested Usage: Science Research )
Geolocation collection contains geodetic latitude and longitude, surface height above geoid, solar zenith and azimuth angles, satellite zenith and azimuth angles, and a land/sea mask for each 1km sample.
MODIS/Terra Gross Primary Productivity 8-Day L4 Global 1km SIN Grid
MODIS/Terra Gross Primary Productivity 8-Day L4 Global 1km SIN Grid
Level 2 Land Surface Reflectance ...
Level 3 Land Surface Reflectance Daily L3 Global 0.05Deg CMG...
MODIS/Terra Land Surface Temperature/Emissivity 5-Min L2 Swath 1km
MODIS/Terra Land Surface Temperature/Emissivity 5-Min L2 Swath 1km
MODIS/Terra Land Surface Temperature/Emissivity 5-Min L2 Swath 1km
MODIS/Terra Land Surface Temperature/Emissivity 8-Day L3 Global 0.05Deg CMG
MODIS/Terra Land Surface Temperature/Emissivity 8-Day L3 Global 0.05Deg CMG
MODIS/Terra Land Surface Temperature/Emissivity 8-Day L3 Global 0.05Deg CMG
MODIS/Terra Land Surface Temperature/Emissivity 8-Day L3 Global 1km SIN Grid
MODIS/Terra Land Surface Temperature/Emissivity 8-Day L3 Global 1km SIN Grid
MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 0.05Deg CMG
MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 0.05Deg CMG
MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 0.05Deg CMG
MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 1km SIN Grid
MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 1km SIN Grid
MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 1km SIN Grid
MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 5km SIN Grid
MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 5km SIN Grid
MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 6km SIN Grid
MODIS/Terra Land Surface Temperature/Emissivity Monthly L3 Global 0.05Deg CMG
MODIS/Terra Land Surface Temperature/Emissivity Monthly L3 Global 0.05Deg CMG
MODIS/Terra Land Surface Temperature/Emissivity Monthly L3 Global 0.05Deg CMG
MODIS/Terra Land Water Mask Derived from MODIS and SRTM L3 Global 250m SIN Grid
MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 1km SIN Grid
Level 1A collection contains packetized raw detector counts for the 36 MODIS spectral bands as well as engineering and spacecraft ancillary data. Only bands 20 to 36 are used to collect measurements in night mode, while all bands are used in day mode.
MODIS/Terra Net Primary Production Yearly L4 Global 1km SIN Grid
MODIS/Terra NRT value-added Aerosol Optical Depth Produc
Level 1A collection contains digitized raw detector counts for the 36 MODIS spectral bands as well as engineering and spacecraft ancillary data. Only bands 20 to 36 are used to collect measurements in night mode, while all bands are used in day mode. (Suggested Usage: Science Research )
Level 1A collection contains digitized raw detector counts for the 36 MODIS spectral bands as well as engineering and spacecraft ancillary data. Only bands 20 to 36 are used to collect measurements in night mode, while all bands are used in day mode.
Level 2 Sea Ice Cover 5-Min L2 1km...
MODIS/Terra Sea Ice Extent 5-Min L2 Swath 1km
MODIS/Terra Sea Ice Extent and IST Daily L3 Global 4km EASE-Grid Day
MODIS/Terra Sea Ice Extent Daily L3 Global 1km EASE-Grid Day
MODIS/Terra Sea Ice Extent Daily L3 Global 1km EASE-Grid Night
Level 2 Snow Cover 5-Min L2 500m...
MODIS/Terra Snow Cover 5-Min L2 Swath 500m
MODIS Snow Cover Climate Modeling Grid (CMG), 8-Day Level 3 Global Product at 0.05Deg Resolution
MODIS/Terra Snow Cover 8-Day L3 Global 500m SIN Grid
MODIS Snow Cover Climate Modeling Grid (CMG), Daily Level 3 Global Product at 0.05Deg Resolution
MODIS/Terra Snow Cover Daily L3 Global 500m SIN Grid
MODIS Snow Cover Climate Modeling Grid (CMG), Monthly Level 3 Global Product at 0.05Deg Resolution
MODIS/Terra Surface Reflectance 8-Day L3 Global 250m SIN Grid
MODIS/Terra Surface Reflectance 8-Day L3 Global 500m SIN Grid
MODIS/Terra Surface Reflectance Daily L2G Global 1km and 500m SIN Grid
MODIS/Terra Surface Reflectance Daily L2G Global 250m SIN Grid
MODIS/Terra Surface Reflectance Daily L3 Global 0.05Deg CMG
Level 2 Daily global Total Ozone Burden, Atmospheric Stability, Temperature and Moisture Profiles at 20 vertical levels for temperature and 15 levels for moisture, and Atmospheric Water Vapor at 5x5 1-km resolution when at least 9 FOVs are cloud free.
Level 2 Daily global Total Ozone Burden, Atmospheric Stability, Temperature and Moisture Profiles at 20 vertical levels for temperature and 15 levels for moisture, and Atmospheric Water Vapor at 5x5 1-km resolution when at least 9 FOVs are cloud free.
Level 2 Thermal Anomalies/Fire 5-Min L2 1km...
MODIS/Terra Thermal Anomalies/Fire 5-Min L2 Swath 1km
MODIS/Terra Thermal Anomalies/Fire 8-Day L3 Global 1km SIN Grid
MODIS/Terra Thermal Anomalies/Fire Daily L3 Global 1km SIN Grid
This Level 2 data collection contains derived precipitable column water vapor amounts, during daytime using a near-infrared over clear land areas and above clouds over both land and ocean; water vapor estimates are provided over clear ocean areas. (Suggested Usage: Science Research )
This Level 2 data collection contains derived precipitable column water vapor amounts, during daytime using a near-infrared over clear land areas and above clouds over both land and ocean; water vapor estimates are provided over clear ocean areas.
This Level 2 data collection contains derived precipitable column water vapor amounts, during daytime using a near-infrared over clear land areas and above clouds over both land and ocean; water vapor estimates are provided over clear ocean areas.
MODIS/Terra Vegetation Continuous Fields Yearly L3 Global 250m SIN Grid
MODIS/Terra Vegetation Continuous Fields Yearly L3 Global 500m ISIN Grid (Suggested Usage: Science Research)
MODIS/Terra Vegetation Continuous Fields Yearly L3 Global 500m SIN Grid (Suggested Usage: Science Research)
MODIS/Terra Vegetation Cover Conversion 96-Day L3 Global 250m SIN Grid
MODIS/Terra Vegetation Indices 16-Day L3 Global 0.05Deg CMG
MODIS/Terra Vegetation Indices 16-Day L3 Global 1km SIN Grid
MODIS/Terra Vegetation Indices 16-Day L3 Global 250m SIN Grid
MODIS/Terra Vegetation Indices 16-Day L3 Global 500m SIN Grid
MODIS/Terra Vegetation Indices Monthly L3 Global 0.05Deg CMG
MODIS/Terra Vegetation Indices Monthly L3 Global 1km SIN Grid
MODIS/Terra+Aqua Albedo 16-Day L3 Global 0.05Deg CMG
MODIS/Terra+Aqua Albedo 16-Day L3 Global 1km SIN Grid
MODIS/Terra+Aqua Albedo 16-Day L3 Global 500m SIN Grid
MODIS/Terra+Aqua BRDF/Albedo Model Parameters 16-Day L3 Global 1km SIN Grid
MODIS/Terra+Aqua BRDF/Albedo Model Parameters 16-Day L3 Global 500m SIN Grid
MODIS/Terra+Aqua BRDF/Albedo Parameters 16-Day L3 Global 0.05Deg CMG
MODIS/Terra+Aqua BRDF/Albedo Quality 16-Day L3 Global 1km SIN Grid
MODIS/Terra+Aqua BRDF/Albedo Quality 16-Day L3 Global 500m SIN Grid
MODIS/Terra+Aqua BRDF/Albedo Snow-free Quality 16-Day L3 Global 0.05Deg CMG
MODIS/Terra+Aqua Burned Area Monthly L3 Global 500m SIN Grid
MODIS/Terra+Aqua Burned Area Monthly L3 Global 500m SIN Grid
MODIS/Terra+Aqua Land Cover Dynamics Yearly L3 Global 500m SIN Grid
MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 0.05Deg CMG
MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid
MODIS/Terra+Aqua Leaf Area Index/FPAR 4-Day L4 Global 1km SIN Grid
MODIS Terra plus Aqua Leaf Area Index/FPAR 8-Day L4 Global 1km SIN Grid
MODIS/Terra+Aqua Nadir BRDF-Adjusted Reflectance 16-Day L3 Global 0.05Deg CMG
MODIS/Terra+Aqua Nadir BRDF-Adjusted Reflectance 16-Day L3 Global 1km SIN Grid
MODIS/Terra+Aqua Nadir BRDF-Adjusted Reflectance 16-Day L3 Global 500m SIN Grid
MODIS/Terra and Aqua Combined NRT value-added Aerosol Optical Depth Produc
MOPITT Derived CO (Near and Thermal Infrared Radiances)
MOPITT Derived CO (Near and Thermal Infrared Radiances)
MOPITT Derived CO (Near Infrared Radiances)
MOPITT Derived CO (Near Infrared Radiances)
MOPITT Derived CO (Thermal Infrared Radiances)
MOPITT Derived CO (Thermal Infrared Radiances)
MOPITT Derived CO
This product averages the daily L2 swath data into a 1x1 degree grid. Day and night passes are kept separate. Averaging kernels for each retrieval are provided within the product.
This product averages the daily L2 swath data into a 1x1 degree grid. Day and night passes are kept separate. Averaging kernels for each retrieval are provided within the product.
This product averages the daily L2 swath data into a 1x1 degree grid. Day and night passes are kept separate. Averaging kernels for each retrieval are provided within the product.
This product averages the daily L2 swath data into a 1x1 degree grid. Day and night passes are kept separate. Averaging kernels for each retrieval are provided within the product.
This product averages the daily L2 swath data into a 1x1 degree grid. Day and night passes are kept separate. Averaging kernels for each retrieval are provided within the product.
This product averages the daily L2 swath data into a 1x1 degree grid. Day and night passes are kept separate. Averaging kernels for each retrieval are provided within the product.
This product averages the daily L2 swath data into a 1x1 degree grid. Day and night passes are kept separate. Averaging kernels for each retrieval are provided within the product.
This product averages the daily L2 swath data into a 1x1 degree grid. Day and night passes are kept separate. Averaging kernels for each retrieval are provided within the product.
This product averages the daily L2 swath data into a 1x1 degree grid. Day and night passes are kept separate. Averaging kernels for each retrieval are provided within the product.
This product averages the daily L2 swath data into a 1x1 degree grid. Day and night passes are kept separate. Averaging kernels for each retrieval are provided within the product.
This product averages the daily L2 swath data into a 1x1 degree grid. Day and night passes are kept separate. Averaging kernels for each retrieval are provided within the product.
This product averages the daily L2 swath data into a 1x1 degree grid. Day and night passes are kept separate. Averaging kernels for each retrieval are provided within the product.
This product averages the daily L2 swath data into a 1x1 degree grid. Day and night passes are kept separate. Averaging kernels for each retrieval are provided within the product.
This product averages the daily L2 swath data into a 1x1 degree grid. Day and night passes are kept separate. Averaging kernels for each retrieval are provided within the product.
MOPITT Level 1 Radiances HDF file
MOPITT Level 1 Radiances HDF file
MOPITT Level 1 Radiances HDF file
Plant biomass data where grazing height or frequency were simulated by mowing
Plant biomass data where grazing height or frequency were simulated by mowing
ABSTRACT: Plant biomass data where grazing height or frequency were simulated by mowing
Ground based spectral reflectance in MSS bands 1-4 from Exotech model 100-A
Ground based spectral reflectance in MSS bands 1-4 from Exotech model 100-A
ABSTRACT: Ground based spectral reflectance in MSS bands 1-4 from Exotech model 100-A
The Solar Backscattered Ultra Violet (SBUV) from NOAA-19 Level-3 monthly zonal mean (MZM) product (MSO3L3zm5) contains monthly zonal means for profile layer and total column ozone based on v8.6 SBUV data from the Nimbus-4 BUV, Nimbus-7 SBUV, and NOAA-9 through 18 SBUV/2 instruments. The v8.6 SBUV algorithm estimates the ozone nadir profile and total column from SBUV measurements, and differs from the v8.0 SBUV algorithm via the use of 1) the Brion-Daumont-Malicet ozone cross sections, 2) an OMI-derived cloud-height climatology, 3) a revised a priori ozone climatology, and 4) inter-instrument calibration based on comparisons with no local time difference.
 
The MSO3L3zm5 product is stored as a single HDF5 file, and has a size of 0.4 MB. The MZM product contains 5.0-degree-wide latitude zones with data between latitude -80.0 and +80.0 degrees. The data cover the time period from May 1970 through July 2013. Data coverage during the BUV mission from 1970 - 1977 contains many gaps after October 1973, and there are no data between November 1976 and November 1978. Continuous data coverage begins with SBUV and SBUV/2 missions starting November 1978.
ABSTRACT: Notice: This data set and guide were updated on June 30, 2014 to correct an error in the reported units. The data values were not changed.Spatially-gridded estimates of above ground biomass (AGB), net primary productivity (NPP), and net ecosystem productivity (NEP) are provided for forested areas of the conterminous United States (CONUS). Estimates of uncertainty are also provided for AGB and NEP. These data were derived by using Forest Inventory and Analysis (FIA) data to constrain forest growth rates in a Carnegie-Ames-Stanford Approach (CASA) carbon-cycle process model. Note that the data set does not include data for forests in the Northern Prairie States region (NPS; see Figure 3). These data provide a detailed estimate of carbon sources and sinks from recent forest disturbance and recovery across regions and forest types of the US.The data are presented as a series of ten NetCDF v4 (*.nc4) files at two spatial scales (1-degree and 5-km spatial resolution) for the nominal year of 2005.
ABSTRACT: Notice: This data set and guide were updated on June 30, 2014 to correct an error in the reported units. The data values were not changed.Spatially-gridded estimates of above ground biomass (AGB), net primary productivity (NPP), and net ecosystem productivity (NEP) are provided for forested areas of the conterminous United States (CONUS). Estimates of uncertainty are also provided for AGB and NEP. These data were derived by using Forest Inventory and Analysis (FIA) data to constrain forest growth rates in a Carnegie-Ames-Stanford Approach (CASA) carbon-cycle process model. Note that the data set does not include data for forests in the Northern Prairie States region (NPS; see Figure 3). These data provide a detailed estimate of carbon sources and sinks from recent forest disturbance and recovery across regions and forest types of the US.The data are presented as a series of ten NetCDF v4 (*.nc4) files at two spatial scales (1-degree and 5-km spatial resolution) for the nominal year of 2005.
ABSTRACT: Notice: This data set and guide were updated on June 30, 2014 to correct an error in the reported units. The data values were not changed.Spatially-gridded estimates of above ground biomass (AGB), net primary productivity (NPP), and net ecosystem productivity (NEP) are provided for forested areas of the conterminous United States (CONUS). Estimates of uncertainty are also provided for AGB and NEP. These data were derived by using Forest Inventory and Analysis (FIA) data to constrain forest growth rates in a Carnegie-Ames-Stanford Approach (CASA) carbon-cycle process model. Note that the data set does not include data for forests in the Northern Prairie States region (NPS; see Figure 3). These data provide a detailed estimate of carbon sources and sinks from recent forest disturbance and recovery across regions and forest types of the US.The data are presented as a series of ten NetCDF v4 (*.nc4) files at two spatial scales (1-degree and 5-km spatial resolution) for the nominal year of 2005.
ABSTRACT: The data provided are annual land cover projections for years 2005 through 2095 generated by the Global Change Assessment Model (GCAM) Version 3.1. For the conterminous USA, the GCAM global gridded results were downscaled to ~5.6 km (0.05 degree) resolution. For each 5.6 x 5.6 km area, the annual land cover percentage comprised by each of the nineteen different land cover classes/plant functional types (PFTs) of the Community Land Model (CLM) (Table 1) are provided.Results are reported for GCAM runs of three scenarios of future human efforts towards climate mitigation as related to global carbon emissions, radiative forcing, and land cover change. Specific scenario conditions were 1) a reference scenario with no explicit climate mitigation efforts that reaches a radiative forcing level of over 7 W/m2 in 2100, 2) the 2.6 mitigation pathway (MP) scenario which is a very low emission scenario with a mid-century peak in radiative forcing at ~3 W/m2, declining to 2.6 W/m2 in 2100, and 3) the 4.5 MP scenario which stabilizes radiative forcing at 4.5 W/m2 (~ 650 ppm CO2-equivalent) before 2100.These downscaled land cover projections can be used to derive spatially explicit estimates of potential shifts in croplands, grasslands, shrub lands, and forest lands in each future climate scenario.Data are presented as three NetCDF v4 files (.nc4), one for each future climate scenario -- 2.6 MP, 4.5 MP, and GCAM reference).
ABSTRACT: The data provided are annual land cover projections for years 2005 through 2095 generated by the Global Change Assessment Model (GCAM) Version 3.1. For the conterminous USA, the GCAM global gridded results were downscaled to ~5.6 km (0.05 degree) resolution. For each 5.6 x 5.6 km area, the annual land cover percentage comprised by each of the nineteen different land cover classes/plant functional types (PFTs) of the Community Land Model (CLM) (Table 1) are provided.Results are reported for GCAM runs of three scenarios of future human efforts towards climate mitigation as related to global carbon emissions, radiative forcing, and land cover change. Specific scenario conditions were 1) a reference scenario with no explicit climate mitigation efforts that reaches a radiative forcing level of over 7 W/m2 in 2100, 2) the 2.6 mitigation pathway (MP) scenario which is a very low emission scenario with a mid-century peak in radiative forcing at ~3 W/m2, declining to 2.6 W/m2 in 2100, and 3) the 4.5 MP scenario which stabilizes radiative forcing at 4.5 W/m2 (~ 650 ppm CO2-equivalent) before 2100.These downscaled land cover projections can be used to derive spatially explicit estimates of potential shifts in croplands, grasslands, shrub lands, and forest lands in each future climate scenario.Data are presented as three NetCDF v4 files (.nc4), one for each future climate scenario -- 2.6 MP, 4.5 MP, and GCAM reference).
ABSTRACT: The data provided are annual land cover projections for years 2005 through 2095 generated by the Global Change Assessment Model (GCAM) Version 3.1. For the conterminous USA, the GCAM global gridded results were downscaled to ~5.6 km (0.05 degree) resolution. For each 5.6 x 5.6 km area, the annual land cover percentage comprised by each of the nineteen different land cover classes/plant functional types (PFTs) of the Community Land Model (CLM) (Table 1) are provided.Results are reported for GCAM runs of three scenarios of future human efforts towards climate mitigation as related to global carbon emissions, radiative forcing, and land cover change. Specific scenario conditions were 1) a reference scenario with no explicit climate mitigation efforts that reaches a radiative forcing level of over 7 W/m2 in 2100, 2) the 2.6 mitigation pathway (MP) scenario which is a very low emission scenario with a mid-century peak in radiative forcing at ~3 W/m2, declining to 2.6 W/m2 in 2100, and 3) the 4.5 MP scenario which stabilizes radiative forcing at 4.5 W/m2 (~ 650 ppm CO2-equivalent) before 2100.These downscaled land cover projections can be used to derive spatially explicit estimates of potential shifts in croplands, grasslands, shrub lands, and forest lands in each future climate scenario.Data are presented as three NetCDF v4 files (.nc4), one for each future climate scenario -- 2.6 MP, 4.5 MP, and GCAM reference).
This data set provides forest age map products at 1-km resolution for Canada and the United States (U.S.A.). These continental forest age maps were compiled from forest inventory data, historical fire data, optical satellite data, and the images from the NASA Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) project. These input data products have various sources and creation dates as described in the source paper by Pan et al. (2011). Canadian maps were produced with data available through 2004 and U.S.A. maps with data available through 2006. A supplementary map of the standard deviations for age estimates was developed for quantifying uncertainty.Note that the Pan et al. (2011) paper is included as a companion file with this data set and was the source of descriptions in the guide.Forest age, implicitly reflecting the past disturbance legacy, is a simple and direct surrogate for the time since disturbance and may be used in various forest carbon analyses that concern the impact of disturbances. By combining geographic information about forest age with estimated carbon dynamics by forest type, it is possible to conduct a simple but powerful analysis of the net CO2 uptake by forests, and the potential for increasing (or decreasing) this rate as a result of direct human intervention in the disturbance/age status.
This data set provides forest age map products at 1-km resolution for Canada and the United States (U.S.A.). These continental forest age maps were compiled from forest inventory data, historical fire data, optical satellite data, and the images from the NASA Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) project. These input data products have various sources and creation dates as described in the source paper by Pan et al. (2011). Canadian maps were produced with data available through 2004 and U.S.A. maps with data available through 2006. A supplementary map of the standard deviations for age estimates was developed for quantifying uncertainty.Note that the Pan et al. (2011) paper is included as a companion file with this data set and was the source of descriptions in the guide.Forest age, implicitly reflecting the past disturbance legacy, is a simple and direct surrogate for the time since disturbance and may be used in various forest carbon analyses that concern the impact of disturbances. By combining geographic information about forest age with estimated carbon dynamics by forest type, it is possible to conduct a simple but powerful analysis of the net CO2 uptake by forests, and the potential for increasing (or decreasing) this rate as a result of direct human intervention in the disturbance/age status.
ABSTRACT: This data set provides forest age map products at 1-km resolution for Canada and the United States (U.S.A.). These continental forest age maps were compiled from forest inventory data, historical fire data, optical satellite data, and the images from the NASA Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) project. These input data products have various sources and creation dates as described in the source paper by Pan et al. (2011). Canadian maps were produced with data available through 2004 and U.S.A. maps with data available through 2006. A supplementary map of the standard deviations for age estimates was developed for quantifying uncertainty.Note that the Pan et al. (2011) paper is included as a companion file with this data set and was the source of descriptions in the guide.Forest age, implicitly reflecting the past disturbance legacy, is a simple and direct surrogate for the time since disturbance and may be used in various forest carbon analyses that concern the impact of disturbances. By combining geographic information about forest age with estimated carbon dynamics by forest type, it is possible to conduct a simple but powerful analysis of the net CO2 uptake by forests, and the potential for increasing (or decreasing) this rate as a result of direct human intervention in the disturbance/age status.
This data set is a collection of measurements of carbon dioxide (CO2) and non-CO2 greenhouse gases made across North America by nine independent atmospheric monitoring networks from 2000 - 2009. During this North American Carbon Program (NACP) sponsored activity, data were compiled from the following networks: AGAGE, COBRA, CSIRO, INTEX-A, INTEX B, Irvine Latitude Network, NOAA CMDL, SCRIPPS, and Stanley Tyler-UC Irvine. The files presented here are the products of merging multiple original measurement results files for selected sites across North America from each monitoring network. The primary focus of this effort was the compilation of non-CO2 greenhouse gases over North America, but numerous CO2 observations are also included. The data files for each network are accompanied by detailed readme documentation files prepared by the respective network investigators. Project descriptions, objectives, references, sampling and analysis methods, and data file descriptions are included in these READMEs. Table 1 in the documentation displays the monitoring network sites, sample types, analytes, and links to the detailed network README files. Network- and laboratory-specific data citations are included in the README documentation and should be used to acknowledge the use of these data as appropriate. The data files for each monitoring network and each sampling type (continuous or flasks) have been combined into one compressed (*.zip) file along with the detailed README document. There are 17 compressed files that when expanded contain data files which represent one years data for that specific campaign and sampling method. The number of annual files that were compiled from a network into this collection varies.
This data set is a collection of measurements of carbon dioxide (CO2) and non-CO2 greenhouse gases made across North America by nine independent atmospheric monitoring networks from 2000 - 2009. During this North American Carbon Program (NACP) sponsored activity, data were compiled from the following networks: AGAGE, COBRA, CSIRO, INTEX-A, INTEX B, Irvine Latitude Network, NOAA CMDL, SCRIPPS, and Stanley Tyler-UC Irvine. The files presented here are the products of merging multiple original measurement results files for selected sites across North America from each monitoring network. The primary focus of this effort was the compilation of non-CO2 greenhouse gases over North America, but numerous CO2 observations are also included. The data files for each network are accompanied by detailed readme documentation files prepared by the respective network investigators. Project descriptions, objectives, references, sampling and analysis methods, and data file descriptions are included in these READMEs. Table 1 in the documentation displays the monitoring network sites, sample types, analytes, and links to the detailed network README files. Network- and laboratory-specific data citations are included in the README documentation and should be used to acknowledge the use of these data as appropriate. The data files for each monitoring network and each sampling type (continuous or flasks) have been combined into one compressed (*.zip) file along with the detailed README document. There are 17 compressed files that when expanded contain data files which represent one years data for that specific campaign and sampling method. The number of annual files that were compiled from a network into this collection varies.
ABSTRACT: This data set is a collection of measurements of carbon dioxide (CO2) and non-CO2 greenhouse gases made across North America by nine independent atmospheric monitoring networks from 2000 - 2009. During this North American Carbon Program (NACP) sponsored activity, data were compiled from the following networks: AGAGE, COBRA, CSIRO, INTEX-A, INTEX B, Irvine Latitude Network, NOAA CMDL, SCRIPPS, and Stanley Tyler-UC Irvine. The files presented here are the products of merging multiple original measurement results files for selected sites across North America from each monitoring network. The primary focus of this effort was the compilation of non-CO2 greenhouse gases over North America, but numerous CO2 observations are also included. The data files for each network are accompanied by detailed readme documentation files prepared by the respective network investigators. Project descriptions, objectives, references, sampling and analysis methods, and data file descriptions are included in these READMEs. Table 1 in the documentation displays the monitoring network sites, sample types, analytes, and links to the detailed network README files. Network- and laboratory-specific data citations are included in the README documentation and should be used to acknowledge the use of these data as appropriate. The data files for each monitoring network and each sampling type (continuous or flasks) have been combined into one compressed (*.zip) file along with the detailed README document. There are 17 compressed files that when expanded contain data files which represent one years data for that specific campaign and sampling method. The number of annual files that were compiled from a network into this collection varies.
The data set provides a 30-m comprehensive fuelbed characteristics map for both the wildland and cropland areas of the conterminous United States (CONUS) for 2010. This integrated product is the result of combining the spatially discrete Fuel Characteristic Classification System (FCCS) data of the US Forest Service (USFS) with the crop-and grassland-specific information of the US Department of Agricultures (USDA's) Cropland Data Layer (CDL).  By combining the spatially discrete details of the FCCS data set with the crop-and grassland-specific information of the CDL, a more robust map of fuelbed characteristics is available. The merged product has an advantage over the original FCCS map for estimating emissions from burned areas due to the integration of the fuelbed characteristics for agricultural areas from the CDL.There are three GeoTIFF format files and three comma-separated companion files distributed with this data set. The three tif files provided are very large and exceed the size limits of a standard GeoTIFF file format (4 GB). File sizes range from 20 to 30 GB. Compressed file sizes range from 2 to 3 GB. They are in a format that is called a BigTIFF file. ArcGIS 10.0 and ERDAS Imagine are able to read these files.
The data set provides a 30-m comprehensive fuelbed characteristics map for both the wildland and cropland areas of the conterminous United States (CONUS) for 2010. This integrated product is the result of combining the spatially discrete Fuel Characteristic Classification System (FCCS) data of the US Forest Service (USFS) with the crop-and grassland-specific information of the US Department of Agricultures (USDA's) Cropland Data Layer (CDL).  By combining the spatially discrete details of the FCCS data set with the crop-and grassland-specific information of the CDL, a more robust map of fuelbed characteristics is available. The merged product has an advantage over the original FCCS map for estimating emissions from burned areas due to the integration of the fuelbed characteristics for agricultural areas from the CDL.There are three GeoTIFF format files and three comma-separated companion files distributed with this data set. The three tif files provided are very large and exceed the size limits of a standard GeoTIFF file format (4 GB). File sizes range from 20 to 30 GB. Compressed file sizes range from 2 to 3 GB. They are in a format that is called a BigTIFF file. ArcGIS 10.0 and ERDAS Imagine are able to read these files.
ABSTRACT: The data set provides a 30-m comprehensive fuelbed characteristics map for both the wildland and cropland areas of the conterminous United States (CONUS) for 2010. This integrated product is the result of combining the spatially discrete Fuel Characteristic Classification System (FCCS) data of the US Forest Service (USFS) with the crop-and grassland-specific information of the US Department of Agricultures (USDA's) Cropland Data Layer (CDL).  By combining the spatially discrete details of the FCCS data set with the crop-and grassland-specific information of the CDL, a more robust map of fuelbed characteristics is available. The merged product has an advantage over the original FCCS map for estimating emissions from burned areas due to the integration of the fuelbed characteristics for agricultural areas from the CDL.There are three GeoTIFF format files and three comma-separated companion files distributed with this data set. The three tif files provided are very large and exceed the size limits of a standard GeoTIFF file format (4 GB). File sizes range from 20 to 30 GB. Compressed file sizes range from 2 to 3 GB. They are in a format that is called a BigTIFF file. ArcGIS 10.0 and ERDAS Imagine are able to read these files.
This data set provides a bottom-up CO2 emissions inventory for the mid-continent region of the United States for the year 2007. The study was undertaken as part of the North American Carbon Program (NACP) Mid-Continent Intensive (MCI) campaign. Emissions for the MCI region were compiled from these resources into nine inventory sources (Table 1):(1) forest biomass and soil carbon, harvested woody products carbon, and agricultural soil carbon from the U.S. Greenhouse Gas (GHG) Inventory (EPA, 2010; Heath et al., 2011);(2) high resolution data on fossil and biofuel CO2 emissions from Vulcan (Gurney et al,. 2009); (3) CO2 uptake by agricultural crops, lateral transport in crop biomass harvest, and livestock CO2 emissions using USDA statistics (West et al., 2011); (4) agricultural residue burning (McCarty et al., 2011);(5) CO2 emissions from landfills (EPA, 2012);(6) and CO2 losses from human respiration using U.S. Census data (West et al., 2009). The CO2 inventory in the MCI region was dominated by fossil fuel combustion, carbon uptake during crop production, carbon export in biomass (commodities) from the region, and to a lesser extent, carbon sinks in forest growth and incorporation of carbon into timber products.
This data set provides a bottom-up CO2 emissions inventory for the mid-continent region of the United States for the year 2007. The study was undertaken as part of the North American Carbon Program (NACP) Mid-Continent Intensive (MCI) campaign. Emissions for the MCI region were compiled from these resources into nine inventory sources (Table 1):(1) forest biomass and soil carbon, harvested woody products carbon, and agricultural soil carbon from the U.S. Greenhouse Gas (GHG) Inventory (EPA, 2010; Heath et al., 2011);(2) high resolution data on fossil and biofuel CO2 emissions from Vulcan (Gurney et al,. 2009); (3) CO2 uptake by agricultural crops, lateral transport in crop biomass harvest, and livestock CO2 emissions using USDA statistics (West et al., 2011); (4) agricultural residue burning (McCarty et al., 2011);(5) CO2 emissions from landfills (EPA, 2012);(6) and CO2 losses from human respiration using U.S. Census data (West et al., 2009). The CO2 inventory in the MCI region was dominated by fossil fuel combustion, carbon uptake during crop production, carbon export in biomass (commodities) from the region, and to a lesser extent, carbon sinks in forest growth and incorporation of carbon into timber products.
ABSTRACT: This data set provides a bottom-up CO2 emissions inventory for the mid-continent region of the United States for the year 2007. The study was undertaken as part of the North American Carbon Program (NACP) Mid-Continent Intensive (MCI) campaign. Emissions for the MCI region were compiled from these resources into nine inventory sources (Table 1):(1) forest biomass and soil carbon, harvested woody products carbon, and agricultural soil carbon from the U.S. Greenhouse Gas (GHG) Inventory (EPA, 2010; Heath et al., 2011);(2) high resolution data on fossil and biofuel CO2 emissions from Vulcan (Gurney et al,. 2009); (3) CO2 uptake by agricultural crops, lateral transport in crop biomass harvest, and livestock CO2 emissions using USDA statistics (West et al., 2011); (4) agricultural residue burning (McCarty et al., 2011);(5) CO2 emissions from landfills (EPA, 2012);(6) and CO2 losses from human respiration using U.S. Census data (West et al., 2009). The CO2 inventory in the MCI region was dominated by fossil fuel combustion, carbon uptake during crop production, carbon export in biomass (commodities) from the region, and to a lesser extent, carbon sinks in forest growth and incorporation of carbon into timber products.
This data set provides estimates of Net Ecosystem Exchange (NEE) flux for the U.S. Upper Midwest at 0.5-degree resolution for the year 2007. Estimates were produced by two atmospheric CO2 inversion systems (top-down), referenced as the continental Colorado State University (CSU) inversion and the mesoscale Pennsylvania State University (PSU) inversion. This modeling work was performed in support of the North American Carbon Program (NACP) Mid-Continent Intensive (MCI) experimental campaign in the U.S. Upper Midwest designed to evaluate innovative methods for CO2 flux inversion and data assimilation. The experiment was performed over a relatively flat, heavily managed agricultural landscape which features a high density of atmospheric CO2 observation measurements. Among the CO2 observations used by the inversion systems were results from a network of instrumented tall towers in the region. The NEE estimates were produced for comparison with CO2 fluxes derived from bottom-up inventory estimates.There are five data files with this data set. The NEE estimates are provided in two NetCDF files, one for each inversion system. Boundary CO2 inflow data used by each inversion system are provided in three comma-separated-format files (.csv).
This data set provides estimates of Net Ecosystem Exchange (NEE) flux for the U.S. Upper Midwest at 0.5-degree resolution for the year 2007. Estimates were produced by two atmospheric CO2 inversion systems (top-down), referenced as the continental Colorado State University (CSU) inversion and the mesoscale Pennsylvania State University (PSU) inversion. This modeling work was performed in support of the North American Carbon Program (NACP) Mid-Continent Intensive (MCI) experimental campaign in the U.S. Upper Midwest designed to evaluate innovative methods for CO2 flux inversion and data assimilation. The experiment was performed over a relatively flat, heavily managed agricultural landscape which features a high density of atmospheric CO2 observation measurements. Among the CO2 observations used by the inversion systems were results from a network of instrumented tall towers in the region. The NEE estimates were produced for comparison with CO2 fluxes derived from bottom-up inventory estimates.There are five data files with this data set. The NEE estimates are provided in two NetCDF files, one for each inversion system. Boundary CO2 inflow data used by each inversion system are provided in three comma-separated-format files (.csv).
ABSTRACT: This data set provides estimates of Net Ecosystem Exchange (NEE) flux for the U.S. Upper Midwest at 0.5-degree resolution for the year 2007. Estimates were produced by two atmospheric CO2 inversion systems (top-down), referenced as the continental Colorado State University (CSU) inversion and the mesoscale Pennsylvania State University (PSU) inversion. This modeling work was performed in support of the North American Carbon Program (NACP) Mid-Continent Intensive (MCI) experimental campaign in the U.S. Upper Midwest designed to evaluate innovative methods for CO2 flux inversion and data assimilation. The experiment was performed over a relatively flat, heavily managed agricultural landscape which features a high density of atmospheric CO2 observation measurements. Among the CO2 observations used by the inversion systems were results from a network of instrumented tall towers in the region. The NEE estimates were produced for comparison with CO2 fluxes derived from bottom-up inventory estimates.There are five data files with this data set. The NEE estimates are provided in two NetCDF files, one for each inversion system. Boundary CO2 inflow data used by each inversion system are provided in three comma-separated-format files (.csv).
ABSTRACT: This data set provides high precision and high accuracy atmospheric CO2 data from seven instrumented communication towers located in the U.S. Upper Midwest. The overall sampling period was from January 2007 through December 2009 although actual sampling dates vary within this time period for individual towers and sampling heights above ground level. The measurements were obtained in support of the North American Carbon Program (NACP) Mid-Continent Intensive (MCI) campaign.The sampling network included: the five Ring 2 towers (Centerville (Iowa), Galesville (Wisconsin), Kewanee (Illinois), Mead (Nebraska), and Round Lake (Minnesota)) deployed and operated by PSU; the Missouri Ozarks (Missouri) co-located AmeriFlux site (PSU/Oak Ridge National Laboratory (ORNL)); and the Rosemount (Minnesota) tall tower trace gas observatory (University of Minnesota, Rosemount Research and Outreach Center (RROC)). Hourly CO2 dry mole fractions (in ppm) were averaged from measurements made at different above-ground levels on the towers and are reported in Coordinated Universal Time (UTC). For the five Ring 2 sites, daily daytime average CO2 dry mole fractions were also calculated, from hourly values between 12:00-17:00 local standard time and reported in UTC. There are seven compressed (.zip) data files and one comma-separated (.csv) file with this data set. Data quality flags are provided in each file.
ABSTRACT: This data set provides high precision and high accuracy atmospheric CO2 data from seven instrumented communication towers located in the U.S. Upper Midwest. The overall sampling period was from January 2007 through December 2009 although actual sampling dates vary within this time period for individual towers and sampling heights above ground level. The measurements were obtained in support of the North American Carbon Program (NACP) Mid-Continent Intensive (MCI) campaign.The sampling network included: the five Ring 2 towers (Centerville (Iowa), Galesville (Wisconsin), Kewanee (Illinois), Mead (Nebraska), and Round Lake (Minnesota)) deployed and operated by PSU; the Missouri Ozarks (Missouri) co-located AmeriFlux site (PSU/Oak Ridge National Laboratory (ORNL)); and the Rosemount (Minnesota) tall tower trace gas observatory (University of Minnesota, Rosemount Research and Outreach Center (RROC)). Hourly CO2 dry mole fractions (in ppm) were averaged from measurements made at different above-ground levels on the towers and are reported in Coordinated Universal Time (UTC). For the five Ring 2 sites, daily daytime average CO2 dry mole fractions were also calculated, from hourly values between 12:00-17:00 local standard time and reported in UTC. There are seven compressed (.zip) data files and one comma-separated (.csv) file with this data set. Data quality flags are provided in each file.
ABSTRACT: This data set provides high precision and high accuracy atmospheric CO2 data from seven instrumented communication towers located in the U.S. Upper Midwest. The overall sampling period was from January 2007 through December 2009 although actual sampling dates vary within this time period for individual towers and sampling heights above ground level. The measurements were obtained in support of the North American Carbon Program (NACP) Mid-Continent Intensive (MCI) campaign.The sampling network included: the five Ring 2 towers (Centerville (Iowa), Galesville (Wisconsin), Kewanee (Illinois), Mead (Nebraska), and Round Lake (Minnesota)) deployed and operated by PSU; the Missouri Ozarks (Missouri) co-located AmeriFlux site (PSU/Oak Ridge National Laboratory (ORNL)); and the Rosemount (Minnesota) tall tower trace gas observatory (University of Minnesota, Rosemount Research and Outreach Center (RROC)). Hourly CO2 dry mole fractions (in ppm) were averaged from measurements made at different above-ground levels on the towers and are reported in Coordinated Universal Time (UTC). For the five Ring 2 sites, daily daytime average CO2 dry mole fractions were also calculated, from hourly values between 12:00-17:00 local standard time and reported in UTC. There are seven compressed (.zip) data files and one comma-separated (.csv) file with this data set. Data quality flags are provided in each file.
This data set provides an integrated collection of (1) ground-based meteorological, radiometric, and vegetation measurements, (2) flux-based estimates of gross primary production (GPP), and (3) numerous vegetation indices derived from satellite imagery for three eddy covariance flux tower locations near Lincoln, Nebraska, USA. Land use surrounding the towers is cropland with corn and soybeans. Data are reported for selected days during the growing seasons of 2001 through 2008 only when ground-based crop canopy reflectance was measured. Algorithms developed to relate ground-based and satellite spectral information to GPP of the cropland adjacent to the towers are provided. AmeriFlux tower-based Level 2 measurements included photosynthetically active radiation (PAR), heat flux, and GPP estimates; see Section 2 for specific towers.Ground-based measurements on the corn and soybean vegetation surrounding the towers included total chlorophyll content (Chl) and leaf area index (LAI). Ground-based crop canopy reflectance was measured at 5.4 m above the corn and soybean canopy using hyperspectral radiometers (range 400 to 1100 nm) during the growing season from May to October in eight different years (2001-2008). This resulted in 173 measurement campaigns (18 in 2001, 31 in 2002, 34 in 2003, 31 in 2004, 21 in 2005, 15 in 2006, 14 in 2007, and 9 in 2008). Spectral bands from Landsat TM and ETM+, MERIS , and MODIS instruments were used to calculate vegetation indices. Vegetation indices related to chlorophyll can be used as a proxy for GPP because of the observed close relationship between GPP and Chl content in crops. Algorithms developed to relate spectral information to the GPP of the cropland adjacent to the towers are provided as companion files.
This data set provides an integrated collection of (1) ground-based meteorological, radiometric, and vegetation measurements, (2) flux-based estimates of gross primary production (GPP), and (3) numerous vegetation indices derived from satellite imagery for three eddy covariance flux tower locations near Lincoln, Nebraska, USA. Land use surrounding the towers is cropland with corn and soybeans. Data are reported for selected days during the growing seasons of 2001 through 2008 only when ground-based crop canopy reflectance was measured. Algorithms developed to relate ground-based and satellite spectral information to GPP of the cropland adjacent to the towers are provided. AmeriFlux tower-based Level 2 measurements included photosynthetically active radiation (PAR), heat flux, and GPP estimates; see Section 2 for specific towers.Ground-based measurements on the corn and soybean vegetation surrounding the towers included total chlorophyll content (Chl) and leaf area index (LAI). Ground-based crop canopy reflectance was measured at 5.4 m above the corn and soybean canopy using hyperspectral radiometers (range 400 to 1100 nm) during the growing season from May to October in eight different years (2001-2008). This resulted in 173 measurement campaigns (18 in 2001, 31 in 2002, 34 in 2003, 31 in 2004, 21 in 2005, 15 in 2006, 14 in 2007, and 9 in 2008). Spectral bands from Landsat TM and ETM+, MERIS , and MODIS instruments were used to calculate vegetation indices. Vegetation indices related to chlorophyll can be used as a proxy for GPP because of the observed close relationship between GPP and Chl content in crops. Algorithms developed to relate spectral information to the GPP of the cropland adjacent to the towers are provided as companion files.
ABSTRACT: This data set provides an integrated collection of (1) ground-based meteorological, radiometric, and vegetation measurements, (2) flux-based estimates of gross primary production (GPP), and (3) numerous vegetation indices derived from satellite imagery for three eddy covariance flux tower locations near Lincoln, Nebraska, USA. Land use surrounding the towers is cropland with corn and soybeans. Data are reported for selected days during the growing seasons of 2001 through 2008 only when ground-based crop canopy reflectance was measured. Algorithms developed to relate ground-based and satellite spectral information to GPP of the cropland adjacent to the towers are provided. AmeriFlux tower-based Level 2 measurements included photosynthetically active radiation (PAR), heat flux, and GPP estimates; see Section 2 for specific towers.Ground-based measurements on the corn and soybean vegetation surrounding the towers included total chlorophyll content (Chl) and leaf area index (LAI). Ground-based crop canopy reflectance was measured at 5.4 m above the corn and soybean canopy using hyperspectral radiometers (range 400 to 1100 nm) during the growing season from May to October in eight different years (2001-2008). This resulted in 173 measurement campaigns (18 in 2001, 31 in 2002, 34 in 2003, 31 in 2004, 21 in 2005, 15 in 2006, 14 in 2007, and 9 in 2008). Spectral bands from Landsat TM and ETM+, MERIS , and MODIS instruments were used to calculate vegetation indices. Vegetation indices related to chlorophyll can be used as a proxy for GPP because of the observed close relationship between GPP and Chl content in crops. Algorithms developed to relate spectral information to the GPP of the cropland adjacent to the towers are provided as companion files.
This data set provides environmental data that have been standardized and aggregated for use as input to carbon cycle models at global (0.5-degree resolution) and regional (North America at 0.25-degree resolution) scales. The data were compiled from selected sources (Table 2) and integrated into gridded global and regional collections of climatology variables (precipitation, air temperature, air specific humidity, air relative humidity (NA only), pressure, downward longwave radiation, downward shortwave radiation, and wind speed), time-varying atmospheric CO2 concentrations, time-varying nitrogen deposition, biome fraction and type, land-use and land-cover change, C3/C4 grasses fractions, major crop distribution, phenology, multiple soil characteristics, and a land-water mask. The temporal ranges of the data are sufficient for carbon cycle model simulations from 1801 to 2010. These data were compiled specifically for the North American Carbon Program (NACP) Multi-Scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP) as the prescribed model input driver data (Huntzinger et al., 2013). The driver data were used by 22 terrestrial biosphere models to run baseline and sensitivity simulations. The standardized data provided consistent model inputs to minimize the inter-model variability caused by differences in environmental drivers and initial conditions. Together with the sensitivity simulations, the standardized input data enable better interpretation and quantification of structural and parameter uncertainties of model estimates. Data are provided in Climate and Forecast (CF) metadata convention compliant (version 1.4) netCDF-4 file formats. There are 3,152 *.nc4 data files with this data set.
This data set provides environmental data that have been standardized and aggregated for use as input to carbon cycle models at global (0.5-degree resolution) and regional (North America at 0.25-degree resolution) scales. The data were compiled from selected sources (Table 2) and integrated into gridded global and regional collections of climatology variables (precipitation, air temperature, air specific humidity, air relative humidity (NA only), pressure, downward longwave radiation, downward shortwave radiation, and wind speed), time-varying atmospheric CO2 concentrations, time-varying nitrogen deposition, biome fraction and type, land-use and land-cover change, C3/C4 grasses fractions, major crop distribution, phenology, multiple soil characteristics, and a land-water mask. The temporal ranges of the data are sufficient for carbon cycle model simulations from 1801 to 2010. These data were compiled specifically for the North American Carbon Program (NACP) Multi-Scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP) as the prescribed model input driver data (Huntzinger et al., 2013). The driver data were used by 22 terrestrial biosphere models to run baseline and sensitivity simulations. The standardized data provided consistent model inputs to minimize the inter-model variability caused by differences in environmental drivers and initial conditions. Together with the sensitivity simulations, the standardized input data enable better interpretation and quantification of structural and parameter uncertainties of model estimates. Data are provided in Climate and Forecast (CF) metadata convention compliant (version 1.4) netCDF-4 file formats. There are 3,152 *.nc4 data files with this data set.
ABSTRACT: This data set provides environmental data that have been standardized and aggregated for use as input to carbon cycle models at global (0.5-degree resolution) and regional (North America at 0.25-degree resolution) scales. The data were compiled from selected sources (Table 2) and integrated into gridded global and regional collections of climatology variables (precipitation, air temperature, air specific humidity, air relative humidity (NA only), pressure, downward longwave radiation, downward shortwave radiation, and wind speed), time-varying atmospheric CO2 concentrations, time-varying nitrogen deposition, biome fraction and type, land-use and land-cover change, C3/C4 grasses fractions, major crop distribution, phenology, multiple soil characteristics, and a land-water mask. The temporal ranges of the data are sufficient for carbon cycle model simulations from 1801 to 2010. These data were compiled specifically for the North American Carbon Program (NACP) Multi-Scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP) as the prescribed model input driver data (Huntzinger et al., 2013). The driver data were used by 22 terrestrial biosphere models to run baseline and sensitivity simulations. The standardized data provided consistent model inputs to minimize the inter-model variability caused by differences in environmental drivers and initial conditions. Together with the sensitivity simulations, the standardized input data enable better interpretation and quantification of structural and parameter uncertainties of model estimates. Data are provided in Climate and Forecast (CF) metadata convention compliant (version 1.4) netCDF-4 file formats. There are 3,152 *.nc4 data files with this data set.
This data set provides modeled carbon flux estimates at 8-km spatial resolution over North America for the year 2004 of (1) net ecosystem exchange (NEE) of carbon dioxide (CO2), (2) net ecosystem production (NEP, the balance of net primary production and heterotrophic respiration), (3) stream evasion (CO2 emitted from streams and rivers), (4) emissions from harvested forest and agricultural products, and (5) emissions from biomass burning.Annual estimates, in g C/m2/year, are provided for all five fluxes. Daily estimates, in g C/m2/day, are provided for NEP and stream evasion fluxes. Fluxes for fire emissions, harvest decomposition/respiration, stream evasion, and NEP were derived as described in Section 5.NEE fluxes were estimated using a full bottom-up accounting of NEE produced by integrating emissions from harvested forest and agricultural products, CO2 emitted from streams and rivers, and biomass burning in the CarbonTracker (version 2011_oi) modeling system. NEE estimates were run in the forward mode through the CarbonTracker inversion setup that calculates CO2 uptake and release at the Earth's surface over time. Refer to Turner et al.(2013) for details.There are seven data files in NetCDF (.nc) format with this data set, including: five annual files for fire emissions, harvest decomposition/respiration, stream evasion, NEP, and NEE fluxes; and two daily files for NEP and stream evasion fluxes.
This data set provides modeled carbon flux estimates at 8-km spatial resolution over North America for the year 2004 of (1) net ecosystem exchange (NEE) of carbon dioxide (CO2), (2) net ecosystem production (NEP, the balance of net primary production and heterotrophic respiration), (3) stream evasion (CO2 emitted from streams and rivers), (4) emissions from harvested forest and agricultural products, and (5) emissions from biomass burning.Annual estimates, in g C/m2/year, are provided for all five fluxes. Daily estimates, in g C/m2/day, are provided for NEP and stream evasion fluxes. Fluxes for fire emissions, harvest decomposition/respiration, stream evasion, and NEP were derived as described in Section 5.NEE fluxes were estimated using a full bottom-up accounting of NEE produced by integrating emissions from harvested forest and agricultural products, CO2 emitted from streams and rivers, and biomass burning in the CarbonTracker (version 2011_oi) modeling system. NEE estimates were run in the forward mode through the CarbonTracker inversion setup that calculates CO2 uptake and release at the Earth's surface over time. Refer to Turner et al.(2013) for details.There are seven data files in NetCDF (.nc) format with this data set, including: five annual files for fire emissions, harvest decomposition/respiration, stream evasion, NEP, and NEE fluxes; and two daily files for NEP and stream evasion fluxes.
ABSTRACT: This data set provides modeled carbon flux estimates at 8-km spatial resolution over North America for the year 2004 of (1) net ecosystem exchange (NEE) of carbon dioxide (CO2), (2) net ecosystem production (NEP, the balance of net primary production and heterotrophic respiration), (3) stream evasion (CO2 emitted from streams and rivers), (4) emissions from harvested forest and agricultural products, and (5) emissions from biomass burning.Annual estimates, in g C/m2/year, are provided for all five fluxes. Daily estimates, in g C/m2/day, are provided for NEP and stream evasion fluxes. Fluxes for fire emissions, harvest decomposition/respiration, stream evasion, and NEP were derived as described in Section 5.NEE fluxes were estimated using a full bottom-up accounting of NEE produced by integrating emissions from harvested forest and agricultural products, CO2 emitted from streams and rivers, and biomass burning in the CarbonTracker (version 2011_oi) modeling system. NEE estimates were run in the forward mode through the CarbonTracker inversion setup that calculates CO2 uptake and release at the Earth's surface over time. Refer to Turner et al.(2013) for details.There are seven data files in NetCDF (.nc) format with this data set, including: five annual files for fire emissions, harvest decomposition/respiration, stream evasion, NEP, and NEE fluxes; and two daily files for NEP and stream evasion fluxes.
This data set provides the results of time-series analyses of Landsat imagery for 55 selected forested sites across the conterminous U.S.A. The output is a pair of disturbance data products for each site, one showing the first year of disturbance in the time series, the other showing the last year of disturbance. Each data pixel is labeled as either a static land class (persistent non-forest, persistent forest, or persistent water) or with the year of change for disturbed forest pixels. The time period analyzed is approximately 1984-2009.These forest disturbance data are distributed as a single band GeoTiff, with appropriate projection information defined within the file. The analyses were performed in three phases: 5 sites during the Prototype/Focal phase; 23 sites in Phase I; and 27 sites in Phase II. The spatial resolution of the Prototype/Focal and Phase I data is 28.5 meters. The spatial resolution of the Phase II data is 30 meters. The temporal resolution is nominally biennial. The mapped area for each forested site is approximately 185 km x 185 km. There are a total of 110 GeoTiff files - a first year and a last year disturbance file for each of the 55 sites.
This data set provides the results of time-series analyses of Landsat imagery for 55 selected forested sites across the conterminous U.S.A. The output is a pair of disturbance data products for each site, one showing the first year of disturbance in the time series, the other showing the last year of disturbance. Each data pixel is labeled as either a static land class (persistent non-forest, persistent forest, or persistent water) or with the year of change for disturbed forest pixels. The time period analyzed is approximately 1984-2009.These forest disturbance data are distributed as a single band GeoTiff, with appropriate projection information defined within the file. The analyses were performed in three phases: 5 sites during the Prototype/Focal phase; 23 sites in Phase I; and 27 sites in Phase II. The spatial resolution of the Prototype/Focal and Phase I data is 28.5 meters. The spatial resolution of the Phase II data is 30 meters. The temporal resolution is nominally biennial. The mapped area for each forested site is approximately 185 km x 185 km. There are a total of 110 GeoTiff files - a first year and a last year disturbance file for each of the 55 sites.
ABSTRACT: This data set provides the results of time-series analyses of Landsat imagery for 55 selected forested sites across the conterminous U.S.A. The output is a pair of disturbance data products for each site, one showing the first year of disturbance in the time series, the other showing the last year of disturbance. Each data pixel is labeled as either a static land class (persistent non-forest, persistent forest, or persistent water) or with the year of change for disturbed forest pixels. The time period analyzed is approximately 1984-2009.These forest disturbance data are distributed as a single band GeoTiff, with appropriate projection information defined within the file. The analyses were performed in three phases: 5 sites during the Prototype/Focal phase; 23 sites in Phase I; and 27 sites in Phase II. The spatial resolution of the Prototype/Focal and Phase I data is 28.5 meters. The spatial resolution of the Phase II data is 30 meters. The temporal resolution is nominally biennial. The mapped area for each forested site is approximately 185 km x 185 km. There are a total of 110 GeoTiff files - a first year and a last year disturbance file for each of the 55 sites.
This data set contains standardized gridded observation data, terrestrial biosphere model output data, and inverse model simulations of carbon flux parameters that were used in the North American Carbon Program (NACP) Regional Synthesis activities. The data set provides five observation data files (MODIS GPP, MODIS NPP, FIA forest biomass/forest area, NASS crop NPP, and NASS agricultural land fraction) and simulation results from 18 terrestrial biosphere models (TBM) (28 variables; 114 files) and seven inverse models (IM) (two variables; 8 files). To produce this data set, the NACP Modeling and Synthesis Thematic Data Center (MAST-DC) resampled original model simulation results and observation measurement data to 1-degree spatial resolution for North American region, interpolated into monthly or yearly temporal resolution, and reformatted into Climate and Forecast (CF) convention compatible netCDF format.
This data set contains standardized gridded observation data, terrestrial biosphere model output data, and inverse model simulations of carbon flux parameters that were used in the North American Carbon Program (NACP) Regional Synthesis activities. The data set provides five observation data files (MODIS GPP, MODIS NPP, FIA forest biomass/forest area, NASS crop NPP, and NASS agricultural land fraction) and simulation results from 18 terrestrial biosphere models (TBM) (28 variables; 114 files) and seven inverse models (IM) (two variables; 8 files). To produce this data set, the NACP Modeling and Synthesis Thematic Data Center (MAST-DC) resampled original model simulation results and observation measurement data to 1-degree spatial resolution for North American region, interpolated into monthly or yearly temporal resolution, and reformatted into Climate and Forecast (CF) convention compatible netCDF format.
ABSTRACT: This data set contains standardized gridded observation data, terrestrial biosphere model output data, and inverse model simulations of carbon flux parameters that were used in the North American Carbon Program (NACP) Regional Synthesis activities. The data set provides five observation data files (MODIS GPP, MODIS NPP, FIA forest biomass/forest area, NASS crop NPP, and NASS agricultural land fraction) and simulation results from 18 terrestrial biosphere models (TBM) (28 variables; 114 files) and seven inverse models (IM) (two variables; 8 files). To produce this data set, the NACP Modeling and Synthesis Thematic Data Center (MAST-DC) resampled original model simulation results and observation measurement data to 1-degree spatial resolution for North American region, interpolated into monthly or yearly temporal resolution, and reformatted into Climate and Forecast (CF) convention compatible netCDF format.
This data set contains the originally-submitted observation measurement data, terrestrial biosphere model output data, and inverse model simulations that various investigator teams contributed to the North American Carbon Program (NACP) Regional Synthesis activities. The data set provides nine (9) data packages of remote sensing and ground observation measurements (OM) (MODIS gross primary productivity (GPP), MODIS net primary production (NPP), MODIS fraction of photosynthetically active radiation (fPar), MODIS leaf area index (LAI), MODIS enhanced vegetation index (EVI), MODIS normalize difference vegetation index (NDVI), Forest Inventory and Analysis (FIA) forest biomass, National Agricultural Statistics Service (NASS) crop NPP, and Flux Anomaly). The data set also provides data packages of simulation results from 19 terrestrial biosphere models (TBM) and eight (8) inverse models (IM). The data packages are respectively OM, TBM, and IM data files listed in Tables 4-6. Each OM, TBM, and IM data package contains all of the original data (and documentation, if any) that the NACP Modeling and Synthesis Thematic Data Center (MAST-DC) acquired or received. These originally-submitted data were processed by the MAST-DC to produce the three standardized gridded data sets of carbon flux for inter-comparison purposes (see Related Data Products below). These original data and documentation are provided to allow users of the standardized gridded data products to be able to trace back to the data origins when needed. The Data Center (ORNL DAAC) transformed some of the originally-submitted data files to file formats that are more suitable for long-term archiving. For example, *.xlsx files were saved as *.csv, ERDAS Imagine files were converted to GeoTIFFs, and MATLAB files were converted to GeoTIFF and NetCDF formats as appropriate. Files received in NetCDF, GeoTIFF, and HDF formats were not transformed.
This data set contains the originally-submitted observation measurement data, terrestrial biosphere model output data, and inverse model simulations that various investigator teams contributed to the North American Carbon Program (NACP) Regional Synthesis activities. The data set provides nine (9) data packages of remote sensing and ground observation measurements (OM) (MODIS gross primary productivity (GPP), MODIS net primary production (NPP), MODIS fraction of photosynthetically active radiation (fPar), MODIS leaf area index (LAI), MODIS enhanced vegetation index (EVI), MODIS normalize difference vegetation index (NDVI), Forest Inventory and Analysis (FIA) forest biomass, National Agricultural Statistics Service (NASS) crop NPP, and Flux Anomaly). The data set also provides data packages of simulation results from 19 terrestrial biosphere models (TBM) and eight (8) inverse models (IM). The data packages are respectively OM, TBM, and IM data files listed in Tables 4-6. Each OM, TBM, and IM data package contains all of the original data (and documentation, if any) that the NACP Modeling and Synthesis Thematic Data Center (MAST-DC) acquired or received. These originally-submitted data were processed by the MAST-DC to produce the three standardized gridded data sets of carbon flux for inter-comparison purposes (see Related Data Products below). These original data and documentation are provided to allow users of the standardized gridded data products to be able to trace back to the data origins when needed. The Data Center (ORNL DAAC) transformed some of the originally-submitted data files to file formats that are more suitable for long-term archiving. For example, *.xlsx files were saved as *.csv, ERDAS Imagine files were converted to GeoTIFFs, and MATLAB files were converted to GeoTIFF and NetCDF formats as appropriate. Files received in NetCDF, GeoTIFF, and HDF formats were not transformed.
ABSTRACT: This data set contains the originally-submitted observation measurement data, terrestrial biosphere model output data, and inverse model simulations that various investigator teams contributed to the North American Carbon Program (NACP) Regional Synthesis activities. The data set provides nine (9) data packages of remote sensing and ground observation measurements (OM) (MODIS gross primary productivity (GPP), MODIS net primary production (NPP), MODIS fraction of photosynthetically active radiation (fPar), MODIS leaf area index (LAI), MODIS enhanced vegetation index (EVI), MODIS normalize difference vegetation index (NDVI), Forest Inventory and Analysis (FIA) forest biomass, National Agricultural Statistics Service (NASS) crop NPP, and Flux Anomaly). The data set also provides data packages of simulation results from 19 terrestrial biosphere models (TBM) and eight (8) inverse models (IM). The data packages are respectively OM, TBM, and IM data files listed in Tables 4-6. Each OM, TBM, and IM data package contains all of the original data (and documentation, if any) that the NACP Modeling and Synthesis Thematic Data Center (MAST-DC) acquired or received. These originally-submitted data were processed by the MAST-DC to produce the three standardized gridded data sets of carbon flux for inter-comparison purposes (see Related Data Products below). These original data and documentation are provided to allow users of the standardized gridded data products to be able to trace back to the data origins when needed. The Data Center (ORNL DAAC) transformed some of the originally-submitted data files to file formats that are more suitable for long-term archiving. For example, *.xlsx files were saved as *.csv, ERDAS Imagine files were converted to GeoTIFFs, and MATLAB files were converted to GeoTIFF and NetCDF formats as appropriate. Files received in NetCDF, GeoTIFF, and HDF formats were not transformed.
This data set contains standardized gridded observation data, terrestrial biospheric model output, and inverse model simulations that were compiled but not used in the North American Carbon Program (NACP) Regional Synthesis activities, thus the supplemental designation. The data set provides six (6) observation data packages (9 variables - MODIS LAI, MODIS FPAR, MODIS NDVI, MODIS EVI, FIA forest biomass, forest area, GPP Anomaly, NEE Anomaly, Reco Anomaly; 8 data files), output results from three terrestrial biosphere models (TBM) (14 variables; 214 files), and simulations from one inverse model (IM) (one variable; 1 file). To produce this data set, the NACP Modeling and Synthesis Thematic Data Center (MAST-DC) original data files were resampled to 1-degree spatial resolution for North American region (except for FIA Forest Biomass which was resampled to 0.5-degree resolution), interpolated into monthly or yearly temporal resolution, and reformatted into Climate and Forecast (CF) convention compatible netCDF format.
This data set contains standardized gridded observation data, terrestrial biospheric model output, and inverse model simulations that were compiled but not used in the North American Carbon Program (NACP) Regional Synthesis activities, thus the supplemental designation. The data set provides six (6) observation data packages (9 variables - MODIS LAI, MODIS FPAR, MODIS NDVI, MODIS EVI, FIA forest biomass, forest area, GPP Anomaly, NEE Anomaly, Reco Anomaly; 8 data files), output results from three terrestrial biosphere models (TBM) (14 variables; 214 files), and simulations from one inverse model (IM) (one variable; 1 file). To produce this data set, the NACP Modeling and Synthesis Thematic Data Center (MAST-DC) original data files were resampled to 1-degree spatial resolution for North American region (except for FIA Forest Biomass which was resampled to 0.5-degree resolution), interpolated into monthly or yearly temporal resolution, and reformatted into Climate and Forecast (CF) convention compatible netCDF format.
ABSTRACT: This data set contains standardized gridded observation data, terrestrial biospheric model output, and inverse model simulations that were compiled but not used in the North American Carbon Program (NACP) Regional Synthesis activities, thus the supplemental designation. The data set provides six (6) observation data packages (9 variables - MODIS LAI, MODIS FPAR, MODIS NDVI, MODIS EVI, FIA forest biomass, forest area, GPP Anomaly, NEE Anomaly, Reco Anomaly; 8 data files), output results from three terrestrial biosphere models (TBM) (14 variables; 214 files), and simulations from one inverse model (IM) (one variable; 1 file). To produce this data set, the NACP Modeling and Synthesis Thematic Data Center (MAST-DC) original data files were resampled to 1-degree spatial resolution for North American region (except for FIA Forest Biomass which was resampled to 0.5-degree resolution), interpolated into monthly or yearly temporal resolution, and reformatted into Climate and Forecast (CF) convention compatible netCDF format.
This data set provides standardized output variables for gross primary productivity (GPP), net ecosystem exchange (NEE), leaf area index (LAI), ecosystem respiration (Re), latent heat flux (LE), and sensible heat flux (H) from 24 terrestrial biosphere models for 47 eddy covariance flux tower sites in North America. Each model used standardized input data for each flux tower site (i.e., gap-filled, locally observed weather; land use history; and other site specific data) and followed standard model setup and spinup procedures. The files also contain gap-filled observations and total uncertainty estimates. The data set was compiled for the North American Carbon Program (NACP) Site-Level Synthesis for use in model inter-comparison and assessment of how well the models simulate carbon processes across vegetation types and environmental conditions in North America. There is one compressed (.zip) file with this data set. When expanded, the .zip file contains model output data for one variable at one site. The model output and observations are available at the native half-hourly time step, or in daily, monthly, and annual aggregations, in comma-separated text (.csv) format.
This data set provides standardized output variables for gross primary productivity (GPP), net ecosystem exchange (NEE), leaf area index (LAI), ecosystem respiration (Re), latent heat flux (LE), and sensible heat flux (H) from 24 terrestrial biosphere models for 47 eddy covariance flux tower sites in North America. Each model used standardized input data for each flux tower site (i.e., gap-filled, locally observed weather; land use history; and other site specific data) and followed standard model setup and spinup procedures. The files also contain gap-filled observations and total uncertainty estimates. The data set was compiled for the North American Carbon Program (NACP) Site-Level Synthesis for use in model inter-comparison and assessment of how well the models simulate carbon processes across vegetation types and environmental conditions in North America. There is one compressed (.zip) file with this data set. When expanded, the .zip file contains model output data for one variable at one site. The model output and observations are available at the native half-hourly time step, or in daily, monthly, and annual aggregations, in comma-separated text (.csv) format.
ABSTRACT: This data set provides standardized output variables for gross primary productivity (GPP), net ecosystem exchange (NEE), leaf area index (LAI), ecosystem respiration (Re), latent heat flux (LE), and sensible heat flux (H) from 24 terrestrial biosphere models for 47 eddy covariance flux tower sites in North America. Each model used standardized input data for each flux tower site (i.e., gap-filled, locally observed weather; land use history; and other site specific data) and followed standard model setup and spinup procedures. The files also contain gap-filled observations and total uncertainty estimates. The data set was compiled for the North American Carbon Program (NACP) Site-Level Synthesis for use in model inter-comparison and assessment of how well the models simulate carbon processes across vegetation types and environmental conditions in North America. There is one compressed (.zip) file with this data set. When expanded, the .zip file contains model output data for one variable at one site. The model output and observations are available at the native half-hourly time step, or in daily, monthly, and annual aggregations, in comma-separated text (.csv) format.
This data set contains the original model output data submissions from the 24 terrestrial biosphere models (TBM) that participated in the North American Carbon Program (NACP) Site-Level Synthesis. The model teams generated estimates for, but not limited to,  a minimum of six variables, including gross primary productivity (GPP), net ecosystem exchange (NEE), leaf area index (LAI), ecosystem respiration (Re), latent heat flux (LE), and sensible heat flux (H) for each of 47 selected eddy covariance flux tower sites across North America. Participating modeling teams followed the NACP Site Synthesis Protocol (site_synthesis_protocol_v7.pdf), which covers procedures, plans, and infrastructure for the site-level analyses. File format and units conversions of several data submissions were made by the MAST-DC to produce NetCDF files of consistent content and structure for all 24 TBM outputs. The model outputs are structured as described in Appendix A: Model Output Variables, of the Site Synthesis Protocol. In addition, MAST-DC processed these original model submissions to derive uniquely processed and formatted data files for model inter-comparison and evaluation (NACP Site: Terrestrial Biosphere Model and Aggregated Flux Data in Standard Format). This related data set provides GPP, NEE, LAI, Re, LE, and sensible heat (H) model output variables at the native half-hourly time step, and in daily, monthly, and annual aggregations. The related data set also contains gap-filled observations and total uncertainty estimates at the same time steps.There are 24 compressed (*.zip) files with this data set -- one file for each model. When expanded, the .zip files contain model output data files for flux tower sites in NetCDF and some in text formats.
This data set contains the original model output data submissions from the 24 terrestrial biosphere models (TBM) that participated in the North American Carbon Program (NACP) Site-Level Synthesis. The model teams generated estimates for, but not limited to,  a minimum of six variables, including gross primary productivity (GPP), net ecosystem exchange (NEE), leaf area index (LAI), ecosystem respiration (Re), latent heat flux (LE), and sensible heat flux (H) for each of 47 selected eddy covariance flux tower sites across North America. Participating modeling teams followed the NACP Site Synthesis Protocol (site_synthesis_protocol_v7.pdf), which covers procedures, plans, and infrastructure for the site-level analyses. File format and units conversions of several data submissions were made by the MAST-DC to produce NetCDF files of consistent content and structure for all 24 TBM outputs. The model outputs are structured as described in Appendix A: Model Output Variables, of the Site Synthesis Protocol. In addition, MAST-DC processed these original model submissions to derive uniquely processed and formatted data files for model inter-comparison and evaluation (NACP Site: Terrestrial Biosphere Model and Aggregated Flux Data in Standard Format). This related data set provides GPP, NEE, LAI, Re, LE, and sensible heat (H) model output variables at the native half-hourly time step, and in daily, monthly, and annual aggregations. The related data set also contains gap-filled observations and total uncertainty estimates at the same time steps.There are 24 compressed (*.zip) files with this data set -- one file for each model. When expanded, the .zip files contain model output data files for flux tower sites in NetCDF and some in text formats.
ABSTRACT: This data set contains the original model output data submissions from the 24 terrestrial biosphere models (TBM) that participated in the North American Carbon Program (NACP) Site-Level Synthesis. The model teams generated estimates for, but not limited to,  a minimum of six variables, including gross primary productivity (GPP), net ecosystem exchange (NEE), leaf area index (LAI), ecosystem respiration (Re), latent heat flux (LE), and sensible heat flux (H) for each of 47 selected eddy covariance flux tower sites across North America. Participating modeling teams followed the NACP Site Synthesis Protocol (site_synthesis_protocol_v7.pdf), which covers procedures, plans, and infrastructure for the site-level analyses. File format and units conversions of several data submissions were made by the MAST-DC to produce NetCDF files of consistent content and structure for all 24 TBM outputs. The model outputs are structured as described in Appendix A: Model Output Variables, of the Site Synthesis Protocol. In addition, MAST-DC processed these original model submissions to derive uniquely processed and formatted data files for model inter-comparison and evaluation (NACP Site: Terrestrial Biosphere Model and Aggregated Flux Data in Standard Format). This related data set provides GPP, NEE, LAI, Re, LE, and sensible heat (H) model output variables at the native half-hourly time step, and in daily, monthly, and annual aggregations. The related data set also contains gap-filled observations and total uncertainty estimates at the same time steps.There are 24 compressed (*.zip) files with this data set -- one file for each model. When expanded, the .zip files contain model output data files for flux tower sites in NetCDF and some in text formats.
This data set contains daily Moderate Resolution Imaging Spectroradiometer (MODIS) land incident photosynthetically active radiation (PAR) images over North America for the years 2003 - 2005 and was created to fill the need for daily PAR estimates. Incident PAR is the solar radiation in the range of 400 to 700 nm reaching the earth's surface and plays an important role in modeling terrestrial ecosystem productivity.  The daily images were derived by integrating MODIS/Terra and MODIS/Aqua instantaneous PAR data where the instantaneous PAR data is estimated directly from Terra or Aqua MODIS 5-min L1b swath data (Liang et al., 2006 and Wang et al., 2010). The spatial distribution of this data set includes the MODIS tile subsets covering North America, Central America, portions of South America, and Greenland, available for the years 2003 - 2005. There are 45,376 *.hdf files with a spatial resolution of 4 km x 4 km in sinusoidal projection distributed by year in three compressed data files: 2003.zip, 2004.zip, and 2005.zip. Contained within each daily file are 4 separate image files: DirectPar, DiffusePAR, TotalPAR, and Observation Count. There are 46 MODIS tiles that cover the study area extent.
This data set contains daily Moderate Resolution Imaging Spectroradiometer (MODIS) land incident photosynthetically active radiation (PAR) images over North America for the years 2003 - 2005 and was created to fill the need for daily PAR estimates. Incident PAR is the solar radiation in the range of 400 to 700 nm reaching the earth's surface and plays an important role in modeling terrestrial ecosystem productivity.  The daily images were derived by integrating MODIS/Terra and MODIS/Aqua instantaneous PAR data where the instantaneous PAR data is estimated directly from Terra or Aqua MODIS 5-min L1b swath data (Liang et al., 2006 and Wang et al., 2010). The spatial distribution of this data set includes the MODIS tile subsets covering North America, Central America, portions of South America, and Greenland, available for the years 2003 - 2005. There are 45,376 *.hdf files with a spatial resolution of 4 km x 4 km in sinusoidal projection distributed by year in three compressed data files: 2003.zip, 2004.zip, and 2005.zip. Contained within each daily file are 4 separate image files: DirectPar, DiffusePAR, TotalPAR, and Observation Count. There are 46 MODIS tiles that cover the study area extent.
ABSTRACT: This data set contains daily Moderate Resolution Imaging Spectroradiometer (MODIS) land incident photosynthetically active radiation (PAR) images over North America for the years 2003 - 2005 and was created to fill the need for daily PAR estimates. Incident PAR is the solar radiation in the range of 400 to 700 nm reaching the earth's surface and plays an important role in modeling terrestrial ecosystem productivity.  The daily images were derived by integrating MODIS/Terra and MODIS/Aqua instantaneous PAR data where the instantaneous PAR data is estimated directly from Terra or Aqua MODIS 5-min L1b swath data (Liang et al., 2006 and Wang et al., 2010). The spatial distribution of this data set includes the MODIS tile subsets covering North America, Central America, portions of South America, and Greenland, available for the years 2003 - 2005. There are 45,376 *.hdf files with a spatial resolution of 4 km x 4 km in sinusoidal projection distributed by year in three compressed data files: 2003.zip, 2004.zip, and 2005.zip. Contained within each daily file are 4 separate image files: DirectPar, DiffusePAR, TotalPAR, and Observation Count. There are 46 MODIS tiles that cover the study area extent.
The NAMMA ATD Lightning data provided by the UK Meterological Office from multiple outstations contains lightning stroke data, latitude and longitude, accuracy and weighting for fading-in flashes for lightning for the African Coast during the NAMMA experiment.  Time is determined by the Arrival Time Difference (ATD) of the reporting stations.
The NAMMA ATD Lightning data provided by the UK Meterological Office from multiple outstations contains lightning stroke data, latitude and longitude, accuracy and weighting for fading-in flashes for lightning for the African Coast during the NAMMA experiment.  Time is determined by the Arrival Time Difference (ATD) of the reporting stations.
The NAMMA ATD Lightning data provided by the UK Meterological Office from multiple outstations contains lightning stroke data, latitude and longitude, accuracy and weighting for fading-in flashes for lightning for the African Coast during the NAMMA experiment.  Time is determined by the Arrival Time Difference (ATD) of the reporting stations.
The NAMMA COBALT dataset measures the carbon monoxide mixing ratio and derives carbon monoxide mixing ratio profiles in the upper troposphere/lower stratosphere using an in-situ laser absorption spectrometer.
The NAMMA COBALT dataset measures the carbon monoxide mixing ratio and derives carbon monoxide mixing ratio profiles in the upper troposphere/lower stratosphere using an in-situ laser absorption spectrometer.
The NAMMA COBALT dataset measures the carbon monoxide mixing ratio and derives carbon monoxide mixing ratio profiles in the upper troposphere/lower stratosphere using an in-situ laser absorption spectrometer.
The Cloud Microphysics dataset consists of particle size distributions from the Clouds, Aerosol and Preciptaition Spectrometer (CAPS) and the Precipitaiton Imaging Probe (PIP).  These instruments yield precipitation, hydrometeor and aerosol sizes ranging from 0.55 - 100 microns.  Data is in the form of images and ascii tables.
The Cloud Microphysics dataset consists of particle size distributions from the Clouds, Aerosol and Preciptaition Spectrometer (CAPS) and the Precipitaiton Imaging Probe (PIP).  These instruments yield precipitation, hydrometeor and aerosol sizes ranging from 0.55 - 100 microns.  Data is in the form of images and ascii tables.
The Cloud Microphysics dataset consists of particle size distributions from the Clouds, Aerosol and Preciptaition Spectrometer (CAPS) and the Precipitaiton Imaging Probe (PIP).  These instruments yield precipitation, hydrometeor and aerosol sizes ranging from 0.55 - 100 microns.  Data is in the form of images and ascii tables.
The counterflow virtual impactor (CVI) was used to measure condensed water content (liquid water or ice in particles about 8 microns in diameter and up) and cloud condensation nuclei (CCN) on the DC-8 during NAMMA. Water vapor is measured with a MayComm Tunable Diode Laser (TDL) hygrometer and non-volatile particles are examined with an optical particle counter, a condensation nuclei counter and an impactor for subsequent chemical analyses.
The counterflow virtual impactor (CVI) was used to measure condensed water content (liquid water or ice in particles about 8 microns in diameter and up) and cloud condensation nuclei (CCN) on the DC-8 during NAMMA. Water vapor is measured with a MayComm Tunable Diode Laser (TDL) hygrometer and non-volatile particles are examined with an optical particle counter, a condensation nuclei counter and an impactor for subsequent chemical analyses.
The counterflow virtual impactor (CVI) was used to measure condensed water content (liquid water or ice in particles about 8 microns in diameter and up) and cloud condensation nuclei (CCN) on the DC-8 during NAMMA. Water vapor is measured with a MayComm Tunable Diode Laser (TDL) hygrometer and non-volatile particles are examined with an optical particle counter, a condensation nuclei counter and an impactor for subsequent chemical analyses.
The DC-8 dropsonde system uses an integrated, highly accurate, GPS-located atmospheric profiling dropsonde, which measures and records current atmospheric conditions in a vertical column below the aircraft. The dropsonde, also known as dropwindsonde or parachute radiosonde, is a small, lightweight (less than 1 lb) cylindrical instrument that falls freely through the atmosphere, slowed somewhat by a small inflatable parachute.
The DC-8 dropsonde system uses an integrated, highly accurate, GPS-located atmospheric profiling dropsonde, which measures and records current atmospheric conditions in a vertical column below the aircraft. The dropsonde, also known as dropwindsonde or parachute radiosonde, is a small, lightweight (less than 1 lb) cylindrical instrument that falls freely through the atmosphere, slowed somewhat by a small inflatable parachute.
The DC-8 dropsonde system uses an integrated, highly accurate, GPS-located atmospheric profiling dropsonde, which measures and records current atmospheric conditions in a vertical column below the aircraft. The dropsonde, also known as dropwindsonde or parachute radiosonde, is a small, lightweight (less than 1 lb) cylindrical instrument that falls freely through the atmosphere, slowed somewhat by a small inflatable parachute.
The MMS consists of three major systems: an air-motion sensing system to measure air velocity with respect to the aircraft, an aircraft-motion sensing system to measure the aircraft velocity with respect to the earth, and a data acquisition system to sample, process, and record the measured quantities.  The air-motion system consists of two airflow-angle probes, three total temperature probes each with a different response time, a pitot-static pressure probe, and a dedicated static pressure system. All probes and sensors are judiciously located at specific positions of the fuselage. The aircraft-motion sensing system consists of an embedded GPS ring laser inertial navigation system, and a multiple-antenna GPS attitude reference system. Customized software was developed to control, sample, and process all sensors and hardware.
The MMS consists of three major systems: an air-motion sensing system to measure air velocity with respect to the aircraft, an aircraft-motion sensing system to measure the aircraft velocity with respect to the earth, and a data acquisition system to sample, process, and record the measured quantities.  The air-motion system consists of two airflow-angle probes, three total temperature probes each with a different response time, a pitot-static pressure probe, and a dedicated static pressure system. All probes and sensors are judiciously located at specific positions of the fuselage. The aircraft-motion sensing system consists of an embedded GPS ring laser inertial navigation system, and a multiple-antenna GPS attitude reference system. Customized software was developed to control, sample, and process all sensors and hardware.
The MMS consists of three major systems: an air-motion sensing system to measure air velocity with respect to the aircraft, an aircraft-motion sensing system to measure the aircraft velocity with respect to the earth, and a data acquisition system to sample, process, and record the measured quantities.  The air-motion system consists of two airflow-angle probes, three total temperature probes each with a different response time, a pitot-static pressure probe, and a dedicated static pressure system. All probes and sensors are judiciously located at specific positions of the fuselage. The aircraft-motion sensing system consists of an embedded GPS ring laser inertial navigation system, and a multiple-antenna GPS attitude reference system. Customized software was developed to control, sample, and process all sensors and hardware.
The NAMMA DC-8 Information Collection and Transmission System (ICATS) is designed to: 1) interface and process avionics and environmental paramaters from the Navigational Management System, GPS, Central Air Data Computer, Embedded GPS/INS, and analog voltage sources from aircraft and experimenters; 2) Furnish engineering unit values of selected parameters and computed functions for real-time video display, and archive ASCII data at experimenter stations; and 3) Archive engineering unit values of 'Appendix A' (to the ICATS document included with dataset documentation) on data storage for post flight retrieval.
The NAMMA DC-8 Information Collection and Transmission System (ICATS) is designed to: 1) interface and process avionics and environmental paramaters from the Navigational Management System, GPS, Central Air Data Computer, Embedded GPS/INS, and analog voltage sources from aircraft and experimenters; 2) Furnish engineering unit values of selected parameters and computed functions for real-time video display, and archive ASCII data at experimenter stations; and 3) Archive engineering unit values of 'Appendix A' (to the ICATS document included with dataset documentation) on data storage for post flight retrieval.
The NAMMA DC-8 Information Collection and Transmission System (ICATS) is designed to: 1) interface and process avionics and environmental paramaters from the Navigational Management System, GPS, Central Air Data Computer, Embedded GPS/INS, and analog voltage sources from aircraft and experimenters; 2) Furnish engineering unit values of selected parameters and computed functions for real-time video display, and archive ASCII data at experimenter stations; and 3) Archive engineering unit values of 'Appendix A' (to the ICATS document included with dataset documentation) on data storage for post flight retrieval.
The Diode Laser Hygrometer (DLH), a near-infrared spectrometer operating from aircraft platforms, was developed by NASA's Langley and Ames Research Centers.  It measures water vapor mixing ratio and derives water vapor partial pressure, relative humidity, and water vapor flux.  Based upon near-infrared tunable diode technology its spectrometer provides true in situ monitoring of water vapor concentrations with precision levels exceeding those of existing Lyman alpha and frost point hygrometers.
The Diode Laser Hygrometer (DLH), a near-infrared spectrometer operating from aircraft platforms, was developed by NASA's Langley and Ames Research Centers.  It measures water vapor mixing ratio and derives water vapor partial pressure, relative humidity, and water vapor flux.  Based upon near-infrared tunable diode technology its spectrometer provides true in situ monitoring of water vapor concentrations with precision levels exceeding those of existing Lyman alpha and frost point hygrometers.
The Diode Laser Hygrometer (DLH), a near-infrared spectrometer operating from aircraft platforms, was developed by NASA's Langley and Ames Research Centers.  It measures water vapor mixing ratio and derives water vapor partial pressure, relative humidity, and water vapor flux.  Based upon near-infrared tunable diode technology its spectrometer provides true in situ monitoring of water vapor concentrations with precision levels exceeding those of existing Lyman alpha and frost point hygrometers.
HAMSR is a 25-channel microwave atmospheric sounder operating as a cross-track scanner.  It operates in three frequency bands centered around 53, 118 and 183 GHz.  HAMSR functionality is similar to AMSU-A/B, but with additional channels.  There are three bands: an 8-channel band near 50-GHz, used for primary temperature sounding; a 10-channel band near 118 GHz, used for secondary temperature sounding and assessment of scattering; and a 7-channel band near 183 GHz, used for water vapor (humidity) sounding.  The instrument is continuously self-calibrating using internal calibration targets.  Radiometric sensitivity at the composite sampling cells provided in the archive is typically 0.1 K and ranges up to 0.25 K for the stratospheric channels.  Calibration accuracy is estimated at better than 1 K for temperature sounding and better than 2 K for water vapor sounding.  Temperature weighting function peaks are distributed between the surface and the flight altitude.
HAMSR is a 25-channel microwave atmospheric sounder operating as a cross-track scanner.  It operates in three frequency bands centered around 53, 118 and 183 GHz.  HAMSR functionality is similar to AMSU-A/B, but with additional channels.  There are three bands: an 8-channel band near 50-GHz, used for primary temperature sounding; a 10-channel band near 118 GHz, used for secondary temperature sounding and assessment of scattering; and a 7-channel band near 183 GHz, used for water vapor (humidity) sounding.  The instrument is continuously self-calibrating using internal calibration targets.  Radiometric sensitivity at the composite sampling cells provided in the archive is typically 0.1 K and ranges up to 0.25 K for the stratospheric channels.  Calibration accuracy is estimated at better than 1 K for temperature sounding and better than 2 K for water vapor sounding.  Temperature weighting function peaks are distributed between the surface and the flight altitude.
HAMSR is a 25-channel microwave atmospheric sounder operating as a cross-track scanner.  It operates in three frequency bands centered around 53, 118 and 183 GHz.  HAMSR functionality is similar to AMSU-A/B, but with additional channels.  There are three bands: an 8-channel band near 50-GHz, used for primary temperature sounding; a 10-channel band near 118 GHz, used for secondary temperature sounding and assessment of scattering; and a 7-channel band near 183 GHz, used for water vapor (humidity) sounding.  The instrument is continuously self-calibrating using internal calibration targets.  Radiometric sensitivity at the composite sampling cells provided in the archive is typically 0.1 K and ranges up to 0.25 K for the stratospheric channels.  Calibration accuracy is estimated at better than 1 K for temperature sounding and better than 2 K for water vapor sounding.  Temperature weighting function peaks are distributed between the surface and the flight altitude.
The NAMMA Langley Aerosol Research Group Experiment (LARGE) dataset is data collected from in situ aerosol sensors: condensation nuclei counters, optical particle spectrometers, an aerodynamic particle sizer, multi-wavelength particle-soot absorption photometers, and integrating nephelometers. These instruments measure aerosol number density, aerosol size distribution, total scattering and backscattering coefficients.
The NAMMA Langley Aerosol Research Group Experiment (LARGE) dataset is data collected from in situ aerosol sensors: condensation nuclei counters, optical particle spectrometers, an aerodynamic particle sizer, multi-wavelength particle-soot absorption photometers, and integrating nephelometers. These instruments measure aerosol number density, aerosol size distribution, total scattering and backscattering coefficients.
The NAMMA Langley Aerosol Research Group Experiment (LARGE) dataset is data collected from in situ aerosol sensors: condensation nuclei counters, optical particle spectrometers, an aerodynamic particle sizer, multi-wavelength particle-soot absorption photometers, and integrating nephelometers. These instruments measure aerosol number density, aerosol size distribution, total scattering and backscattering coefficients.
The NAMMA Langley Aerosol Research Group Experiment Navigation Data is the DC-8 NAV data (ICATS) extracted into columns with time correction. The LARGE NAV data is used with the LARGE dataset, but may also be used with other NAMMA datasets. It includes the wind speed and wind direction as well as pressure and air temperature information.
The NAMMA Langley Aerosol Research Group Experiment Navigation Data is the DC-8 NAV data (ICATS) extracted into columns with time correction. The LARGE NAV data is used with the LARGE dataset, but may also be used with other NAMMA datasets. It includes the wind speed and wind direction as well as pressure and air temperature information.
The NAMMA Langley Aerosol Research Group Experiment Navigation Data is the DC-8 NAV data (ICATS) extracted into columns with time correction. The LARGE NAV data is used with the LARGE dataset, but may also be used with other NAMMA datasets. It includes the wind speed and wind direction as well as pressure and air temperature information.
NASA's Lidar Atmospheric Sensing Experiment (LASE) system using the DIAL (Differential Absorption Lidar) system was operated during the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign to gather water vapor mixing ratio and aerosol scattering ratio (815 nm) profiles. Other derived parameters include: relative humidity, equivalent potential temperature, virtual potential temperature, precipitable water vapor profiles, aerosol backscatter, aerosol extinction, and aerosol optical thickness profiles (815 nm). Aerosol data are reported as Atmospheric Scattering Ratios on a logarithmic scale. Water Vapor data are reported as mixing ratios (g/kg) on both a Linear and logarithmic scale. LASE was operated from the NASA DC-8 aircraft during 14 NAMMA campaign flights between August 15 and September 12, 2006.
NASA's Lidar Atmospheric Sensing Experiment (LASE) system using the DIAL (Differential Absorption Lidar) system was operated during the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign to gather water vapor mixing ratio and aerosol scattering ratio (815 nm) profiles. Other derived parameters include: relative humidity, equivalent potential temperature, virtual potential temperature, precipitable water vapor profiles, aerosol backscatter, aerosol extinction, and aerosol optical thickness profiles (815 nm). Aerosol data are reported as Atmospheric Scattering Ratios on a logarithmic scale. Water Vapor data are reported as mixing ratios (g/kg) on both a Linear and logarithmic scale. LASE was operated from the NASA DC-8 aircraft during 14 NAMMA campaign flights between August 15 and September 12, 2006.
NASA's Lidar Atmospheric Sensing Experiment (LASE) system using the DIAL (Differential Absorption Lidar) system was operated during the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign to gather water vapor mixing ratio and aerosol scattering ratio (815 nm) profiles. Other derived parameters include: relative humidity, equivalent potential temperature, virtual potential temperature, precipitable water vapor profiles, aerosol backscatter, aerosol extinction, and aerosol optical thickness profiles (815 nm). Aerosol data are reported as Atmospheric Scattering Ratios on a logarithmic scale. Water Vapor data are reported as mixing ratios (g/kg) on both a Linear and logarithmic scale. LASE was operated from the NASA DC-8 aircraft during 14 NAMMA campaign flights between August 15 and September 12, 2006.
The NAMMA Lightning ZEUS data is provided by World-ZEUS Long Range Lightning Monitoring Network Data obtained from sferics located at thirteen ground stations spread across the European and African continents and Brazil.  Lightning activity occurring over a large part of the globe is continuously monitored at varying spatial accuracy (e.g. 10-20 km within and >50 km outside the network periphery) and high temporal (1 msec) resolution.  Time is determined by the Arrival Time Difference between the time series from the pairs of the receivers.
The NAMMA Lightning ZEUS data is provided by World-ZEUS Long Range Lightning Monitoring Network Data obtained from sferics located at thirteen ground stations spread across the European and African continents and Brazil.  Lightning activity occurring over a large part of the globe is continuously monitored at varying spatial accuracy (e.g. 10-20 km within and >50 km outside the network periphery) and high temporal (1 msec) resolution.  Time is determined by the Arrival Time Difference between the time series from the pairs of the receivers.
The NAMMA Lightning ZEUS data is provided by World-ZEUS Long Range Lightning Monitoring Network Data obtained from sferics located at thirteen ground stations spread across the European and African continents and Brazil.  Lightning activity occurring over a large part of the globe is continuously monitored at varying spatial accuracy (e.g. 10-20 km within and >50 km outside the network periphery) and high temporal (1 msec) resolution.  Time is determined by the Arrival Time Difference between the time series from the pairs of the receivers.
The NAMMA Deep Blue dataset is a collection of images depicting the aerosol optical depth from the MODIS deep blue algorithm from both AQUA and TERRA satellites.  Additional imagery includes the RGB and Angstrom Exponent.
The NAMMA Deep Blue dataset is a collection of images depicting the aerosol optical depth from the MODIS deep blue algorithm from both AQUA and TERRA satellites.  Additional imagery includes the RGB and Angstrom Exponent.
The NAMMA Deep Blue dataset is a collection of images depicting the aerosol optical depth from the MODIS deep blue algorithm from both AQUA and TERRA satellites.  Additional imagery includes the RGB and Angstrom Exponent.
The NASA Polarimetric Radar (NPOL), developed by a research team from Wallops Flight Facility, is a fully transportable and self-contained S-band research radar that collected and operated nearly continuously during NAMMA.  Data was collected 19 August through 30 September 2006, at Kawsara, Senegal.  Its continuous operation provides a full volume scan every fifteen minutes. Scans may be either 270 Km long range scans or 150 Km range for most high resolution data scans. Products available include real time PPI scans of reflectivities and velocities, and near real time displays of other radar products, including RHI's, CAPPI's, and Polarimetric products. Browse imagery is available for PPI reflectivities.
The NASA Polarimetric Radar (NPOL), developed by a research team from Wallops Flight Facility, is a fully transportable and self-contained S-band research radar that collected and operated nearly continuously during NAMMA.  Data was collected 19 August through 30 September 2006, at Kawsara, Senegal.  Its continuous operation provides a full volume scan every fifteen minutes. Scans may be either 270 Km long range scans or 150 Km range for most high resolution data scans. Products available include real time PPI scans of reflectivities and velocities, and near real time displays of other radar products, including RHI's, CAPPI's, and Polarimetric products. Browse imagery is available for PPI reflectivities.
The NASA Polarimetric Radar (NPOL), developed by a research team from Wallops Flight Facility, is a fully transportable and self-contained S-band research radar that collected and operated nearly continuously during NAMMA.  Data was collected 19 August through 30 September 2006, at Kawsara, Senegal.  Its continuous operation provides a full volume scan every fifteen minutes. Scans may be either 270 Km long range scans or 150 Km range for most high resolution data scans. Products available include real time PPI scans of reflectivities and velocities, and near real time displays of other radar products, including RHI's, CAPPI's, and Polarimetric products. Browse imagery is available for PPI reflectivities.
The Sippican MarkIIa DGPS (LOS) radiosondes were launched in support of NASA African Monsoon Multidisciplinary Analyses (NAMMA) mission. The atmospheric soundings were used to measure pressure, temperature, humidity, wind direction and speed and spatial coordinates. Data is grouped by ascending and descending flights and includes temperature, skewt, trajectory, wind and time series plots.
The Sippican MarkIIa DGPS (LOS) radiosondes were launched in support of NASA African Monsoon Multidisciplinary Analyses (NAMMA) mission. The atmospheric soundings were used to measure pressure, temperature, humidity, wind direction and speed and spatial coordinates. Data is grouped by ascending and descending flights and includes temperature, skewt, trajectory, wind and time series plots.
The Sippican MarkIIa DGPS (LOS) radiosondes were launched in support of NASA African Monsoon Multidisciplinary Analyses (NAMMA) mission. The atmospheric soundings were used to measure pressure, temperature, humidity, wind direction and speed and spatial coordinates. Data is grouped by ascending and descending flights and includes temperature, skewt, trajectory, wind and time series plots.
The Second Generation Airborne Precipitation Radar (APR-2) is a dual-frequency (14 GHz and 35 GHz), Doppler, dual-polarization radar system that includes digital, real-time pulse compression, extremely compact RF electronics, and a large deployable dual-frequency cylindrical parabolic antenna subsystem.  This system measures radar reflectivity and doppler velocity at both the Ku- and Ka-band.
The Second Generation Airborne Precipitation Radar (APR-2) is a dual-frequency (14 GHz and 35 GHz), Doppler, dual-polarization radar system that includes digital, real-time pulse compression, extremely compact RF electronics, and a large deployable dual-frequency cylindrical parabolic antenna subsystem.  This system measures radar reflectivity and doppler velocity at both the Ku- and Ka-band.
The Second Generation Airborne Precipitation Radar (APR-2) is a dual-frequency (14 GHz and 35 GHz), Doppler, dual-polarization radar system that includes digital, real-time pulse compression, extremely compact RF electronics, and a large deployable dual-frequency cylindrical parabolic antenna subsystem.  This system measures radar reflectivity and doppler velocity at both the Ku- and Ka-band.
The NAMMA Senegal Radiosonde and Tower Flux data includes measurements of humidity, wind speed/direction and velocity.  Additionally the Flux data includes photosynthetically active radiation (PAR), air and soil temperature and heat flux data. The radiosondes were dropped from the NASA DC-8; the flux data was obtained from a tower located in Kawasara, Sengal, Africa.
The NAMMA Senegal Radiosonde and Tower Flux data includes measurements of humidity, wind speed/direction and velocity.  Additionally the Flux data includes photosynthetically active radiation (PAR), air and soil temperature and heat flux data. The radiosondes were dropped from the NASA DC-8; the flux data was obtained from a tower located in Kawasara, Sengal, Africa.
The NAMMA Senegal Radiosonde and Tower Flux data includes measurements of humidity, wind speed/direction and velocity.  Additionally the Flux data includes photosynthetically active radiation (PAR), air and soil temperature and heat flux data. The radiosondes were dropped from the NASA DC-8; the flux data was obtained from a tower located in Kawasara, Sengal, Africa.
The NAMMA Senegal Rain Gauge Network consisted of 40 rain gauge sites (AMMA 1-40) located in various places throughout Senegal, West Africa.  The Rain Gauge Network consisted of the large-scale rain gauge network, 2 gauges co-located at NPOL to provide coincident measurements with each other and Larry Bliven's Rain Imaging System (RIS) and the dense-scale rain gauge network.  The rain gauges collected one-minute accumulation data.  The location and photos of each site can be found in an accompanying PDF document NAMMA_Raingauge_network.pdf.
The NAMMA Senegal Rain Gauge Network consisted of 40 rain gauge sites (AMMA 1-40) located in various places throughout Senegal, West Africa.  The Rain Gauge Network consisted of the large-scale rain gauge network, 2 gauges co-located at NPOL to provide coincident measurements with each other and Larry Bliven's Rain Imaging System (RIS) and the dense-scale rain gauge network.  The rain gauges collected one-minute accumulation data.  The location and photos of each site can be found in an accompanying PDF document NAMMA_Raingauge_network.pdf.
The NAMMA Senegal Rain Gauge Network consisted of 40 rain gauge sites (AMMA 1-40) located in various places throughout Senegal, West Africa.  The Rain Gauge Network consisted of the large-scale rain gauge network, 2 gauges co-located at NPOL to provide coincident measurements with each other and Larry Bliven's Rain Imaging System (RIS) and the dense-scale rain gauge network.  The rain gauges collected one-minute accumulation data.  The location and photos of each site can be found in an accompanying PDF document NAMMA_Raingauge_network.pdf.
The SMART-COMMIT dataset consists of data obtained from a suite of insitu and remote sensing instruments which measures parameters that characterize constituents of the atmosphere at a given location.  The mobile system is comprised of many instruments including radiometers, lidar, particle sizers, gas monitors, meteorological sensors, tethered radiosonde, and others. Parameters measured include radiances, irradiances, back scatter profile, atmospheric state variables, aerosol scattering/absorbing, particle size distribution, trace gas concentrations, and sky images. This dataset also includes many derived products.
The SMART-COMMIT dataset consists of data obtained from a suite of insitu and remote sensing instruments which measures parameters that characterize constituents of the atmosphere at a given location.  The mobile system is comprised of many instruments including radiometers, lidar, particle sizers, gas monitors, meteorological sensors, tethered radiosonde, and others. Parameters measured include radiances, irradiances, back scatter profile, atmospheric state variables, aerosol scattering/absorbing, particle size distribution, trace gas concentrations, and sky images. This dataset also includes many derived products.
The SMART-COMMIT dataset consists of data obtained from a suite of insitu and remote sensing instruments which measures parameters that characterize constituents of the atmosphere at a given location.  The mobile system is comprised of many instruments including radiometers, lidar, particle sizers, gas monitors, meteorological sensors, tethered radiosonde, and others. Parameters measured include radiances, irradiances, back scatter profile, atmospheric state variables, aerosol scattering/absorbing, particle size distribution, trace gas concentrations, and sky images. This dataset also includes many derived products.
This dataset consists of a collection of products derived from the NASA TOGA radar observations that were collected in the Republic of Cape Verde during the NAMMA campaign.  The NASA TOGA radar is a C-band scanning radar with a beam width of 1.65 degrees.  The radar was deployed on the southern tip of Sao Tiago (14.92N, 23.48W), the southern-most island in the Cape Verde islands.  The radar operated nearly continuously from 15 August through 16 September, 2006, collecting measurements of horizontal radar reflectivity (ZH), radial velocity (VR) and spectral width (SW).
This dataset consists of a collection of products derived from the NASA TOGA radar observations that were collected in the Republic of Cape Verde during the NAMMA campaign.  The NASA TOGA radar is a C-band scanning radar with a beam width of 1.65 degrees.  The radar was deployed on the southern tip of Sao Tiago (14.92N, 23.48W), the southern-most island in the Cape Verde islands.  The radar operated nearly continuously from 15 August through 16 September, 2006, collecting measurements of horizontal radar reflectivity (ZH), radial velocity (VR) and spectral width (SW).
This dataset consists of a collection of products derived from the NASA TOGA radar observations that were collected in the Republic of Cape Verde during the NAMMA campaign.  The NASA TOGA radar is a C-band scanning radar with a beam width of 1.65 degrees.  The radar was deployed on the southern tip of Sao Tiago (14.92N, 23.48W), the southern-most island in the Cape Verde islands.  The radar operated nearly continuously from 15 August through 16 September, 2006, collecting measurements of horizontal radar reflectivity (ZH), radial velocity (VR) and spectral width (SW).
This Cloud Microphysics dataset consists of data from two probes used to measure the size, shape, and concentration of cloud particles; the two-dimensional stereo probe (2D-S), and the cloud particle imager (CPI). Both of these probes measure particle size distributions and derives extinction, particle concentration, ice water content and particle shape. Both probes provide hi-resolution black and white images of cloud particles.
This Cloud Microphysics dataset consists of data from two probes used to measure the size, shape, and concentration of cloud particles; the two-dimensional stereo probe (2D-S), and the cloud particle imager (CPI). Both of these probes measure particle size distributions and derives extinction, particle concentration, ice water content and particle shape. Both probes provide hi-resolution black and white images of cloud particles.
This Cloud Microphysics dataset consists of data from two probes used to measure the size, shape, and concentration of cloud particles; the two-dimensional stereo probe (2D-S), and the cloud particle imager (CPI). Both of these probes measure particle size distributions and derives extinction, particle concentration, ice water content and particle shape. Both probes provide hi-resolution black and white images of cloud particles.
NARSTO EPA_SS_LOS_ANGELES PM2.5 Composition and Mass Data
NARSTO EPA_SS_LOS_ANGELES Size-Fractionated PM Composition Data
NARSTO EPA_SS_LOS_ANGELES PM2.5-10 Composition and Mass Data
NARSTO EPA_SS_ST_LOUIS Aethalometer Elemental Carbon Data 5 minute
The NASA Marshall Space Flight Center Lightning Nitrogen Oxides Model (LNOM) combines detailed, flash-specific measurements of lightning with both theoretical and empirical laboratory results to obtain estimates of lightning NOx production.  Each LNOM dataset is based on measurements from a specific regional VHF Lightning Mapping Array (LMA), and on ground flash location, peak current, and stroke multiplicity data from the National Lightning Detection Network (NLDN).  Both the LMA and NLDN data are used to determine the flash type (ground or cloud) of each flash occurring within an analysis cylinder.  The LNOM analyzes the LMA sources to estimate the total channel length of each flash. It also produces the Segment Altitude Distribution (SAD) product by dicing up the lightning channel into 10-m segments, and then tallies those segments as a function of altitude.  From all of the 10-m segments, the LNOM computes the vertical lightning NOx profile inside the analysis cylinder and the total NOx produced by each flash.  A summation of the NOx profiles contributed to the analysis cylinder by each flash gives the final lightning NOx profile product for the analysis period studied (typically a 1 month profile).  The LNOM NOx profiles include NOx from several non-return stroke lightning NOx production mechanisms.  Users of LNOM data typically include regional air quality and global chemistry/climate modelers who need to better-parameterize lightning NOx sources.  Rather than assigning an unrealistic fixed amount of NOx to ground and cloud flashes, the modeler can employ LNOM data to assign realistic (and statistical) NOx profiles to each flash.
The NASA Marshall Space Flight Center Lightning Nitrogen Oxides Model (LNOM) combines detailed, flash-specific measurements of lightning with both theoretical and empirical laboratory results to obtain estimates of lightning NOx production.  Each LNOM dataset is based on measurements from a specific regional VHF Lightning Mapping Array (LMA), and on ground flash location, peak current, and stroke multiplicity data from the National Lightning Detection Network (NLDN).  Both the LMA and NLDN data are used to determine the flash type (ground or cloud) of each flash occurring within an analysis cylinder.  The LNOM analyzes the LMA sources to estimate the total channel length of each flash. It also produces the Segment Altitude Distribution (SAD) product by dicing up the lightning channel into 10-m segments, and then tallies those segments as a function of altitude.  From all of the 10-m segments, the LNOM computes the vertical lightning NOx profile inside the analysis cylinder and the total NOx produced by each flash.  A summation of the NOx profiles contributed to the analysis cylinder by each flash gives the final lightning NOx profile product for the analysis period studied (typically a 1 month profile).  The LNOM NOx profiles include NOx from several non-return stroke lightning NOx production mechanisms.  Users of LNOM data typically include regional air quality and global chemistry/climate modelers who need to better-parameterize lightning NOx sources.  Rather than assigning an unrealistic fixed amount of NOx to ground and cloud flashes, the modeler can employ LNOM data to assign realistic (and statistical) NOx profiles to each flash.
NASA Shuttle Radar Topography Mission Global 3 arc second number (Suggested Usage: Science Research)
Created from 1 arcsec data by sampling where each 3 arcsec data point is created by choosing the center sample of the 3x3 array of 1 arcsec points surrounding the post location. Each point is the average of nine(3x3) 1 arcsec samples surrounding the post. (Suggested Usage: Science Research)
Created using a conventional 'taking looks' technique of averaging pixels to decrease the effects of speckle and increase radiometric accuracy using the original postings. (Suggested Usage: Science Research)
NASA Shuttle Radar Topography Mission Global 30 arc second (Suggested Usage: Science Research)
NASA Shuttle Radar Topography Mission United States 1 arc second number (Suggested Usage: Science Research)
NASA Shuttle Radar Topography Mission United States 1 arc second (Suggested Usage: Science Research)
NASA Shuttle Radar Topography Mission Water Body Data Shapefiles & Raster Files (Suggested Usage: Science Research)
NASA Web-Enabled Landsat Data Alaska 30m Composite Pixel Center Lat/Longs
NASA Web-Enabled Landsat Data Alaska 30m Composites over Annual Periods
NASA Web-Enabled Landsat Data Alaska 30m Composites over Monthly Periods
NASA Web-Enabled Landsat Data Alaska 30m Composites over Seasonal Periods
NASA Web-Enabled Landsat Data Alaska 30m Composites over Weekly Periods
NASA Web-Enabled Landsat Data CONUS 30m Composite Pixel Center Lat/Longs
NASA Web-Enabled Landsat Data CONUS 30m Composites over Annual Periods
NASA Web-Enabled Landsat Data CONUS 30m Composites over Monthly Periods
NASA Web-Enabled Landsat Data CONUS 30m Composites over Seasonal Periods
NASA Web-Enabled Landsat Data CONUS 30m Composites over Weekly Periods
Data from the 1982 NASA Langley Airborne Lidar flights following the eruption of El Chichon beginning in July 1982 and continuing to January 1984. Data in ASCII format.
The Population, Landscape And Climate Estimates (PLACE) dataset contains estimates of national-level aggregations of territorial extent and population size by biome, climate zone, coastal proximity, elevation and slope, a compendium of nearly 300 variables for 222 countries. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
The Population, Landscape And Climate Estimates (PLACE) dataset contains estimates of national-level aggregations of territorial extent and population size by biome, climate zone, coastal proximity, elevation and slope, a compendium of nearly 300 variables for 222 countries. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
The Population, Landscape And Climate Estimates (PLACE) dataset contains estimates of national-level aggregations of territorial extent and population size by biome, climate zone, coastal proximity, elevation and slope, a compendium of nearly 300 variables for 222 countries. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). (Suggested Usage: To provide tabular data on environmental conditions (elevations, climate, coastal) in which people reside.)
The Population, Landscape, And Climate Estimates, Version 2 (PLACE II) dataset contains estimates of national-level aggregations of territorial extent 

and population size by biome, climate zone, coastal proximity zone, elevation zone, and population density zone, a compendium of nearly 300 variables for 228 countries. This dataset is 

produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
The Population, Landscape, And Climate Estimates, Version 2 (PLACE II) dataset contains estimates of national-level aggregations of territorial extent 

and population size by biome, climate zone, coastal proximity zone, elevation zone, and population density zone, a compendium of nearly 300 variables for 228 countries. This dataset is 

produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
The Population, Landscape, And Climate Estimates, Version 2 (PLACE II) dataset contains estimates of national-level aggregations of territorial extent 

and population size by biome, climate zone, coastal proximity zone, elevation zone, and population density zone, a compendium of nearly 300 variables for 228 countries. This dataset is 

produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
The Population, Landscape, And Climate Estimates, Version 3 (PLACE III) dataset contains estimates of national-level aggregations in urban, rural, and total designations of territorial extent and population size by biome, climate zone, coastal proximity zone, elevation zone, and population density zone, for 232 statistical areas (countries and other UN recognized territories). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
The Population, Landscape, And Climate Estimates, Version 3 (PLACE III) dataset contains estimates of national-level aggregations in urban, rural, and total designations of territorial extent and population size by biome, climate zone, coastal proximity zone, elevation zone, and population density zone, for 232 statistical areas (countries and other UN recognized territories). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
The Population, Landscape, And Climate Estimates, Version 3 (PLACE III) dataset contains estimates of national-level aggregations in urban, rural, and total designations of territorial extent and population size by biome, climate zone, coastal proximity zone, elevation zone, and population density zone, for 232 statistical areas (countries and other UN recognized territories). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
The Natural Resource Management Index (NRMI), 2009 Release is a composite index for 171 countries derived from the average of four proximity-to-target indicators for eco-region protection, access to improved sanitation, access to improved water and child mortality. The 2009 release of the NRMI includes time series NRMIs for 2006, 2007, 2008, and 2009. Note that the time series for 2006-2008 is not directly comparable to earlier releases of the NRMI owing to changes in data and methods. The dataset is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the Yale Center for Environmental Law and Policy (YCELP), Yale University. (Suggested Usage:  To assist in the country selection process for the Millennium Challenge Account by providing indicators of natural resource management that complement the governance, social, and economic indicators.)
The Natural Resource Management Index (NRMI), 2009 Release is a composite index for 171 countries derived from the average of four proximity-to-target indicators for eco-region protection, access to improved sanitation, access to improved water and child mortality. The 2009 release of the NRMI includes time series NRMIs for 2006, 2007, 2008, and 2009. Note that the time series for 2006-2008 is not directly comparable to earlier releases of the NRMI owing to changes in data and methods. The dataset is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the Yale Center for Environmental Law and Policy (YCELP), Yale University. (Suggested Usage:  To assist in the country selection process for the Millennium Challenge Account by providing indicators of natural resource management that complement the governance, social, and economic indicators.)
The Natural Resource Management Index (NRMI), 2009 Release is a composite index for 171 countries derived from the average of four proximity-to-target indicators for eco-region protection, access to improved sanitation, access to improved water and child mortality. The 2009 release of the NRMI includes time series NRMIs for 2006, 2007, 2008, and 2009. Note that the time series for 2006-2008 is not directly comparable to earlier releases of the NRMI owing to changes in data and methods. The dataset is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the Yale Center for Environmental Law and Policy (YCELP), Yale University. (Suggested Usage:  To assist in the country selection process for the Millennium Challenge Account by providing indicators of natural resource management that complement the governance, social, and economic indicators.)
The Natural Resource Management Index (NRMI), 2010 Release is a composite index for 157 countries derived from the average of four proximity-to-target indicators for eco-region protection (weighted average percentage of biomes under protected status), access to improved sanitation, access to improved water and child mortality. The 2010 release of the NRMI includes time series NRMIs for 2006, 2007, 2008, 2009 and 2010. Note that the NRMIs for 2006-2008 provided in this release are not directly comparable to those found in the 2006-2008 releases of the NRMI owing to changes in data and methods. The dataset is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the Yale Center for Environmental Law and Policy (YCELP), Yale University.
The Natural Resource Management Index (NRMI), 2010 Release is a composite index for 157 countries derived from the average of four proximity-to-target indicators for eco-region protection (weighted average percentage of biomes under protected status), access to improved sanitation, access to improved water and child mortality. The 2010 release of the NRMI includes time series NRMIs for 2006, 2007, 2008, 2009 and 2010. Note that the NRMIs for 2006-2008 provided in this release are not directly comparable to those found in the 2006-2008 releases of the NRMI owing to changes in data and methods. The dataset is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the Yale Center for Environmental Law and Policy (YCELP), Yale University.
The Natural Resource Management Index (NRMI), 2010 Release is a composite index for 157 countries derived from the average of four proximity-to-target indicators for eco-region protection (weighted average percentage of biomes under protected status), access to improved sanitation, access to improved water and child mortality. The 2010 release of the NRMI includes time series NRMIs for 2006, 2007, 2008, 2009 and 2010. Note that the NRMIs for 2006-2008 provided in this release are not directly comparable to those found in the 2006-2008 releases of the NRMI owing to changes in data and methods. The dataset is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the Yale Center for Environmental Law and Policy (YCELP), Yale University. (Suggested Usage:  To assist in the country selection process for the Millennium Challenge Account by providing indicators of natural resource management that complements the governance, social, and economic indicators.)
The Natural Resource Management Index (NRMI), 2011 Release is a composite index for 174 countries derived from the average of four proximity-to-target indicators for eco-region protection (weighted average percentage of biomes under protected status), access to improved sanitation, access to improved water and child mortality. The 2011 release of the NRMI includes a consistent time series of NRMIs for 2006 and 2011. In addition, the 2011 release includes two new indicators that will eventually supplant the NRMI: a Natural Resource Protection Indicator (NRPI) that is solely composed of the eco-region protection indicator, and a Child Health Indicator (CHI), which is an unweighted average of the proximtiy-to-target scores for access to water, access to sanitation, and child mortality. The dataset is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the Yale Center for Environmental Law and Policy (YCELP), Yale University.
The Natural Resource Management Index (NRMI), 2011 Release is a composite index for 174 countries derived from the average of four proximity-to-target indicators for eco-region protection (weighted average percentage of biomes under protected status), access to improved sanitation, access to improved water and child mortality. The 2011 release of the NRMI includes a consistent time series of NRMIs for 2006 and 2011. In addition, the 2011 release includes two new indicators that will eventually supplant the NRMI: a Natural Resource Protection Indicator (NRPI) that is solely composed of the eco-region protection indicator, and a Child Health Indicator (CHI), which is an unweighted average of the proximtiy-to-target scores for access to water, access to sanitation, and child mortality. The dataset is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the Yale Center for Environmental Law and Policy (YCELP), Yale University.
The Natural Resource Management Index (NRMI), 2011 Release is a composite index for 174 countries derived from the average of four proximity-to-target indicators for eco-region protection (weighted average percentage of biomes under protected status), access to improved sanitation, access to improved water and child mortality. The 2011 release of the NRMI includes a consistent time series of NRMIs for 2006 and 2011. In addition, the 2011 release includes two new indicators that will eventually supplant the NRMI: a Natural Resource Protection Indicator (NRPI) that is solely composed of the eco-region protection indicator, and a Child Health Indicator (CHI), which is an unweighted average of the proximtiy-to-target scores for access to water, access to sanitation, and child mortality. The dataset is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the Yale Center for Environmental Law and Policy (YCELP), Yale University. (Suggested Usage: To assist in the country selection process for the Millennium Challenge Corporation by providing indicators of natural resource management and child health that complements the governance, social, and economic indicators used by MCC as country selection criteria.)
The Natural Resource Protection and Child Health Indicators, 2012 Release, are produced in support of the U.S. Millennium Challenge Corporation as selection criteria for funding eligibility. These indicators are successors to the Natural Resource Management Index (NRMI), which was produced from 2006 to 2011 and was based on the same underlying data. Like the NRMI, the Natural Resource Protection Indicator (NRPI) and Child Health Indicator (CHI) are based on proximity-to-target scores ranging from 0 to 100 (at target). The NRPI covers 235 countries and is calculated based on the weighted average percentage of biomes under protected status. The CHI is a composite index for 175 countries derived from the average of three proximity-to-target scores for access to improved sanitation, access to improved water, and child mortality. The 2012 release includes a consistent time series of NRPIs and CHIs for 2006 to 2012.
The Natural Resource Protection and Child Health Indicators, 2012 Release, are produced in support of the U.S. Millennium Challenge Corporation as selection criteria for funding eligibility. These indicators are successors to the Natural Resource Management Index (NRMI), which was produced from 2006 to 2011 and was based on the same underlying data. Like the NRMI, the Natural Resource Protection Indicator (NRPI) and Child Health Indicator (CHI) are based on proximity-to-target scores ranging from 0 to 100 (at target). The NRPI covers 235 countries and is calculated based on the weighted average percentage of biomes under protected status. The CHI is a composite index for 175 countries derived from the average of three proximity-to-target scores for access to improved sanitation, access to improved water, and child mortality. The 2012 release includes a consistent time series of NRPIs and CHIs for 2006 to 2012.
The Natural Resource Protection and Child Health Indicators, 2012 Release, are produced in support of the U.S. Millennium Challenge Corporation as selection criteria for funding eligibility. These indicators are successors to the Natural Resource Management Index (NRMI), which was produced from 2006 to 2011 and was based on the same underlying data. Like the NRMI, the Natural Resource Protection Indicator (NRPI) and Child Health Indicator (CHI) are based on proximity-to-target scores ranging from 0 to 100 (at target). The NRPI covers 235 countries and is calculated based on the weighted average percentage of biomes under protected status. The CHI is a composite index for 175 countries derived from the average of three proximity-to-target scores for access to improved sanitation, access to improved water, and child mortality. The 2012 release includes a consistent time series of NRPIs and CHIs for 2006 to 2012. (Suggested Usage: To assist in the country selection process for the Millennium Challenge Corporation (MCC) by providing indicators of natural resource protection and child health that complements the governance, social, and economic indicators used by MCC as country selection criteria.)
These data are the Goddard Satellite-based Surface Turbulent Fluxes Version-2c (GSSTF2c) Dataset recently produced through a MEaSURES funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project, 

http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects/surface-turbulent-fluxes-esdr
http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects

This is a Daily (24-hour) product; data are projected to equidistant Grid that covers the globe at 1x1 degree cell size, resulting in data arrays of 360x180 size. A finer resolution, 0.25 deg,  of this product has been released as Version 3.

The input data sets used for this recent GSSTF production include the upgraded and improved datasets such as the Special Sensor Microwave Imager (SSM/I) Version-6 (V6) product of brightness temperature [Tb], total precipitable water [W], and wind speed [U] produced by the Wentz of Remote Sensing Systems (RSS), as well as the NCEP/DOE Reanalysis-2 (R2) product of sea skin temperature [SKT], 2-meter air temperature [Tair], and sea level pressure [SLP].  


The short name for this product is GSSTF_NCEP

Parameters contained in the data files include the following:
Variable Name|Description|Units
                  Psea_level|sea level pressure|(hPa)
                  Qsat|sea surface saturation humidity|(g/kg)
                  SST|sea surface skin temperature|(C)
                  Tair_2m|2m air temperature|(C)
End of parameter information
These data are the Goddard Satellite-based Surface Turbulent Fluxes Version-2c Dataset recently produced through a MEaSURES funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project, http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects/surface-turbulent-fluxes-esdr
http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects

This is a Monthly product; data are projected to equidistant Grid that covers the globe at 1x1 degree cell size, resulting in data arrays of 360x180 size. A finer resolution, 0.25 deg,  of this product has been released as Version 3.

The input data sets used for this recent GSSTF production include the upgraded and improved datasets such as the Special Sensor Microwave Imager (SSM/I) Version-6 (V6) product of brightness temperature [Tb], total precipitable water [W], and wind speed [U] produced by the Wentz of Remote Sensing Systems (RSS), as well as the NCEP/DOE Reanalysis-2 (R2) product of sea skin temperature [SKT], 2-meter air temperature [Tair], and sea level pressure [SLP]. 

These HDF-EOS5 files contain one grid that have 4 variables:

"SST"        'sea surface skin temperature' (C)
"Psea_level" 'sea level pressure' (hPa)
"Tair_2m"    '2m air temperature' (C)
"Qsat"       'sea surface saturation humidity' (g/kg)

The double-quoted labels are the short names of the data fields in the HDF-EOS5 files.

The short name for this product is GSSTFM_NCEP

Parameters contained in the data files include the following:
Variable Name|Description|Units
 Psea_level|sea level pressure|(hPa)
 Qsat|sea surface saturation humidity|(g/kg)
 SST|sea surface skin temperature|(C)
 Tair_2m|2m air temperature|(C)
End of parameter information
These data are the Goddard Satellite-based Surface Turbulent Fluxes Version 3 Dataset recently produced through a MEaSURES funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project, http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects/surface-turbulent-fluxes-esdr
http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects

This is a Daily product; data are projected to equidistant Grid that covers the globe at 1x1 degree cell size, resulting in data arrays of 1440x720 size.

The input data sets used for this recent GSSTF production include the upgraded and improved datasets such as the Special Sensor Microwave Imager (SSM/I) Version-6 (V6) product of brightness temperature [Tb], total precipitable water [W], and wind speed [U] produced by the Wentz of Remote Sensing Systems (RSS), as well as the NCEP/DOE Reanalysis-2 (R2) product of sea skin temperature [SKT], 2-meter air temperature [Tair], and sea level pressure [SLP]. 

These HDF-EOS5 files contain one grid that have 4 variables:

&quot;SST&quot;        &apos;sea surface skin temperature&apos; (C)
&quot;Psea_level&quot; &apos;sea level pressure&apos; (hPa)
&quot;Tair_2m&quot;    &apos;2m air temperature&apos; (C)
&quot;Qsat&quot;       &apos;sea surface saturation humidity&apos; (g/kg)

The double-quoted labels are the short names of the data fields in the HDF-EOS5 files.

The short name for this product is GSSTF_NCEP

Parameters contained in the data files include the following:
Variable Name|Description|Units
 Psea_level|sea level pressure|(hPa)
 Qsat|sea surface saturation humidity|(g/kg)
 SST|sea surface skin temperature|(C)
 Tair_2m|2m air temperature|(C)
End of parameter information
These data are the Goddard Satellite-based Surface Turbulent Fluxes Version 3 Dataset recently produced through a MEaSURES funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project, http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects/surface-turbulent-fluxes-esdr
http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects

This is a Monthly product; data are projected to equidistant Grid that covers the globe at 1x1 degree cell size, resulting in data arrays of 1440x720 size.

The input data sets used for this recent GSSTF production include the upgraded and improved datasets such as the Special Sensor Microwave Imager (SSM/I) Version-6 (V6) product of brightness temperature [Tb], total precipitable water [W], and wind speed [U] produced by the Wentz of Remote Sensing Systems (RSS), as well as the NCEP/DOE Reanalysis-2 (R2) product of sea skin temperature [SKT], 2-meter air temperature [Tair], and sea level pressure [SLP]. 

These HDF-EOS5 files contain one grid that have 4 variables:

&quot;SST&quot;        &apos;sea surface skin temperature&apos; (C)
&quot;Psea_level&quot; &apos;sea level pressure&apos; (hPa)
&quot;Tair_2m&quot;    &apos;2m air temperature&apos; (C)
&quot;Qsat&quot;       &apos;sea surface saturation humidity&apos; (g/kg)

The double-quoted labels are the short names of the data fields in the HDF-EOS5 files.

The short name for this product is GSSTFM_NCEP

Parameters contained in the data files include the following:
Variable Name|Description|Units
 Psea_level|sea level pressure|(hPa)
 Qsat|sea surface saturation humidity|(g/kg)
 SST|sea surface skin temperature|(C)
 Tair_2m|2m air temperature|(C)
End of parameter information
NCEP/NCAR Arctic Marine Rawinsonde Archive, available via ftp,
contains 17,659 marine rawinsonde reports for the region north of 65
degrees North. Its record extends from 1976 to 1996. These soundings
have been extracted from the National Center for Atmospheric Research
(NCAR) rawinsonde archive of the National Meteorological Center (NMC)
(now the National Center for Environmental Prediction, or NCEP). The
NCEP/NCAR Arctic Marine Rawinsonde Archive data set complements the
Historical Arctic Rawinsonde Archive (HARA) for land stations and the
Russian 'North Pole' drifting station archive.
NCEP/NCAR Arctic Marine Rawinsonde Archive, available via ftp,
contains 17,659 marine rawinsonde reports for the region north of 65
degrees North. Its record extends from 1976 to 1996. These soundings
have been extracted from the National Center for Atmospheric Research
(NCAR) rawinsonde archive of the National Meteorological Center (NMC)
(now the National Center for Environmental Prediction, or NCEP). The
NCEP/NCAR Arctic Marine Rawinsonde Archive data set complements the
Historical Arctic Rawinsonde Archive (HARA) for land stations and the
Russian 'North Pole' drifting station archive.
NCEP/NCAR Arctic Marine Rawinsonde Archive, available via ftp,
contains 17,659 marine rawinsonde reports for the region north of 65
degrees North. Its record extends from 1976 to 1996. These soundings
have been extracted from the National Center for Atmospheric Research
(NCAR) rawinsonde archive of the National Meteorological Center (NMC)
(now the National Center for Environmental Prediction, or NCEP). The
NCEP/NCAR Arctic Marine Rawinsonde Archive data set complements the
Historical Arctic Rawinsonde Archive (HARA) for land stations and the
Russian 'North Pole' drifting station archive.
Data for the Near Real-Time SSM/I EASE-Grid Daily Global Ice Concentration and Snow Extent product are provided in two 25-km grids, in an azimuthal, equal area projection (the NSIDC SL and NL EASE-Grids).
Data for the Near-Real-Time SSMIS EASE-Grid Daily Global Ice Concentration and Snow Extent product are provided in two 25-km grids, in an azimuthal, equal area projection (the NSIDC SL and NL EASE-Grids).
The Nenana river in the Interior of Alaska usually freezes over during
October and November. The ice continues to grow throughout the winter
accumulating an average maximum thickness of about 110 cm, depending
upon winter weather conditions.

The Nenana River Ice Classic competition began in 1917 when railroad
engineers bet a total of 800 dollars, winner takes all, guessing the exact time (month, day, hour, minute) ice on the Nenana River would
break up. Each year since then, Alaska residents have guessed at the
timing of the river breakup. A tripod, connected to an on-shore clock
with a string, is planted in two feet of river ice during river
freeze-up in October or November. The following spring, the clock
automatically stops when the tripod moves as the ice breaks up. The
time on the clock is used as the river ice breakup time.

Many factors influence the river ice breakup, such as air temperature,
ice thickness, snow cover, wind, water temperature, and depth of water
below the ice. Generally, the Nenana river ice breaks up in late April
or early May (historically, April 20 to May 20). The time series of
the Nenana river ice breakup dates can be used to indicate climate
change in the region.
The Nenana river in the Interior of Alaska usually freezes over during
October and November. The ice continues to grow throughout the winter
accumulating an average maximum thickness of about 110 cm, depending
upon winter weather conditions.

The Nenana River Ice Classic competition began in 1917 when railroad
engineers bet a total of 800 dollars, winner takes all, guessing the exact time (month, day, hour, minute) ice on the Nenana River would
break up. Each year since then, Alaska residents have guessed at the
timing of the river breakup. A tripod, connected to an on-shore clock
with a string, is planted in two feet of river ice during river
freeze-up in October or November. The following spring, the clock
automatically stops when the tripod moves as the ice breaks up. The
time on the clock is used as the river ice breakup time.

Many factors influence the river ice breakup, such as air temperature,
ice thickness, snow cover, wind, water temperature, and depth of water
below the ice. Generally, the Nenana river ice breaks up in late April
or early May (historically, April 20 to May 20). The time series of
the Nenana river ice breakup dates can be used to indicate climate
change in the region.
The Nenana river in the Interior of Alaska usually freezes over during
October and November. The ice continues to grow throughout the winter
accumulating an average maximum thickness of about 110 cm, depending
upon winter weather conditions.

The Nenana River Ice Classic competition began in 1917 when railroad
engineers bet a total of 800 dollars, winner takes all, guessing the exact time (month, day, hour, minute) ice on the Nenana River would
break up. Each year since then, Alaska residents have guessed at the
timing of the river breakup. A tripod, connected to an on-shore clock
with a string, is planted in two feet of river ice during river
freeze-up in October or November. The following spring, the clock
automatically stops when the tripod moves as the ice breaks up. The
time on the clock is used as the river ice breakup time.

Many factors influence the river ice breakup, such as air temperature,
ice thickness, snow cover, wind, water temperature, and depth of water
below the ice. Generally, the Nenana river ice breaks up in late April
or early May (historically, April 20 to May 20). The time series of
the Nenana river ice breakup dates can be used to indicate climate
change in the region.
Multi-Channel SST retreivals generated in real-time from NOAA-19 AVHRR Local Area Coverage data.  Used operationally in Navy oceanographic analyses and forecasts.
Multi-Channel SST retreivals generated in real-time from NOAA-19 AVHRR Local Area Coverage data.  Used operationally in Navy oceanographic analyses and forecasts.
Multi-Channel SST retreivals generated in real-time from NOAA-19 AVHRR Local Area Coverage data.  Used operationally in Navy oceanographic analyses and forecasts.
Multi-Channel SST retreivals generated in real-time from NOAA-19 AVHRR Local Area Coverage data.  Used operationally in Navy oceanographic analyses and forecasts.
The variability of net surface carbon assimilation (Asmax), net ecosystem surface respiration (Rsmax), and net surface evapotranspiration (Etsmax) among and within vegetation types was examined based on a review of studies performed in either a micrometeorological setting or an enclosure setting.
The variability of net surface carbon assimilation (Asmax), net ecosystem surface respiration (Rsmax), and net surface evapotranspiration (Etsmax) among and within vegetation types was examined based on a review of studies performed in either a micrometeorological setting or an enclosure setting.
ABSTRACT: The variability of net surface carbon assimilation (Asmax), net ecosystem surface respiration (Rsmax), and net surface evapotranspiration (Etsmax) among and within vegetation types was examined based on a review of studies performed in either a micrometeorological setting or an enclosure setting.
Nimbus Advanced Vidicon Camera System Remapped Visible Imagery Daily L3, GeoTIFF
Nimbus Advanced Vidicon Camera System Remapped Visible Imagery Daily L3, HDF5
Nimbus Advanced Vidicon Camera System Visible Imagery L1, HDF5
Nimbus High Resolution IR Radiometer Digital Data Swath L1, HDF5
Nimbus High Resolution IR Radiometer Remapped Digital Data Daily L3, GeoTIFF
Nimbus High Resolution IR Radiometer Remapped Digital Data Daily L3, HDF5
Nimbus Ice Boundaries Estimated from Visible Imagery L2
Nimbus Image Dissection Camera System Remapped Visible Imagery Daily L3, GeoTIFF
Nimbus Image Dissection Camera System Remapped Visible Imagery Daily L3, HDF5
Nimbus Image Dissection Camera System Visible Imagery L1, HDF5
The HRIRN1IM data product contains scanned negatives of photofacsimile 70mm film strips from the Nimbus-1 High-Resolution Infrared Radiometer. The images contain orbital nighttime (3.5 to 4.1 microns) cloud cover of the Earth's surface temperature. Each orbital swath picture is gridded with geographic coordinates and covers a distance approximately from the north pole to the south pole. The images are saved as JPEG 2000 digital files. About 7 days of images are archived into a TAR file. The processing techniques used to produce the data set and a full description of the data are contained in section 3.4.1 of the "Nimbus I Users' Guide." 

The High Resolution Infrared Radiometer (HRIR) was designed to perform two major functions: first to map the Earth's cloud cover at night to complement the television coverage during the daytime portion of the orbit, and second to measure the temperature of cloud tops and terrain features. The HRIR instrument was launched on the Nimbus-1 satellite and was operational from August 28, 1964 through September 22, 1964.These images can be used to supplement the radiance data files from the HRIRN1L2 data product.
The Nimbus-1 High Resolution Infrared Radiometer (HRIR) Level 1 Brightness Temperature Data Product (HRIRN1L1) contains infrared radiances converted to equivalent black-body temperature or "brightness" temperature values.

The HRIR instrument was designed to perform two major functions: first to map the Earth's cloud cover at night to complement the television coverage during the daytime portion of the orbit, and second to measure the temperature of cloud tops and terrain features. The HRIR instrument was launched on the Nimbus-1 satellite and was operational from August 28, 1964 through September 22, 1964 when the spacecraft malfunctioned.

Measurements taken during daytime do not reveal true surface temperatures
since the radiometer operates in the 3.5 to 4.1 micron region, and reflected
solar radiation is added to emitted surface radiation. However, reflected sunlight in this spectral region does not saturate the radiometer output and usable pictures can be made.

The Nimbus I HRIR data are stored in a binary TAP format (proprietary tape emulated format).
The HRIRN2IM data product contains scanned negatives of photofacsimile 70mm film strips from the Nimbus-2 High-Resolution Infrared Radiometer. The images contain orbital nighttime (3.5 to 4.1 microns) cloud cover of the Earth's surface temperature. Each orbital swath picture is gridded with geographic coordinates and covers a distance approximately from the north pole to the south pole. The images are saved as JPEG 2000 digital files. About 7 days of images are archived into a TAR file. The processing techniques used to produce the data set and a full description of the data are contained in section 3.4.1 of the "Nimbus II Users' Guide."

The High Resolution Infrared Radiometer (HRIR) was designed to perform two major functions: first to map the Earth's cloud cover at night to complement the television coverage during the daytime portion of the orbit, and second to measure the temperature of cloud tops and terrain features. This HRIR instrument was launched on the Nimbus-2 satellite and was operational from May 15, 1966 through November 15, 1966.
The Nimbus II High Resolution Infrared Radiometer (HRIR) was designed to
perform two major functions: first to map the Earth's cloud cover at night
to complement the television coverage during the daytime portion of the orbit, 
and second to measure the temperature of cloud tops and terrain features. The HRIR instrument was launched on the Nimbus-2 satellite and was operational
from May 16, 1966 through November 15, 1966.

Measurements taken during daytime do not reveal true surface temperatures
since the radiometer operates in the 3.5 to 4.1 micron region, and reflected 
solar radiation is added to emitted surface radiation.  However, reflected sunlight in this spectral region does not saturate the radiometer output and usable pictures can be made.

The Nimbus II HRIR data are stored in a binary TAP format (proprietary tape emulated format).
The Nimbus II Medium Resolution Infrared Radiometer (MRIR) was designed to measure electromagnetic radiation emitted and reflected from the earth and its atmosphere at 5 wavelengths.  
                  
                  The five wavelengths regions are as follows:
                  
                  6.7 to 6.9 microns- This channel covers the 6.7 micron water vapor absorption band.  Its purpose is to provide information on water vapor distribution in the upper troposphere and, in conjunction with the other channels to provide relative humidities at these altitudes
                  
                  10 to 11 microns - microns- This channel measures surface or near surface temperatures over clear portions of the atmosphere.  It also provides cloud cover and cloud height information (day and night).
                  
                  14 to 16 microns – This channel, centered about the strong absorption band of C02 at 15 microns, measures radiation which emanates primarily from the stratosphere. 
                  
                  5 to 30 microns – This channel measures the emitted long wavelength infrared energy and, in conjunction with the reflected solar radiation channel furnishes data on the heat budget of the planet.
                  
                   0.2 to 4.0 microns – This channel covers more than 99% of the solar spectrum and yields information on the intensity of the reflected solar energy from the earth and its atmosphere.
                  
                  
                  The Nimbus II HRIR data are stored in a binary TAP format (proprietary Tape emulated format). 
                   
                  
                  The MRIR instrument was launched on the Nimbus-2 satellite and was operational
                  from May 15, 1966 through July 28, 1966.
                  
                  [Summary Extracted from the Nimbus II users' guide]
The MRIRN2IM data product consists of 4 x 5 inch photographic film sheets from the Nimbus-2 Medium Resolution Infrared Radiometer. Each film sheet contains an entire orbit (daylight portion) of data measured at five wavelength bands: 6.4-6.9, 10-11, 14-16, 5-30, and 0.2-4.0 micrometers. There are also associated latitude grids, time, and gray scales representing different temperatures. The images are saved as JPEG 2000 digital files. About 3 weeks of images are archived into a TAR file. The processing techniques used to produce the data set and a full description of the data set are contained in section 4.3.4 of the &quot;Nimbus II Users&apos; Guide.&quot; 

The Nimbus 2 Medium-Resolution Infrared Radiometer (MRIR) experiment measured the intensity and distribution of electromagnetic radiation emitted by and reflected from the earth and its atmosphere in five selected wavelength intervals from 0.2 to 30 micrometers. Data for heat balance of the earth-atmosphere system were obtained, as well as measurements of water vapor distribution, surface or near-surface temperatures, and seasonal changes of stratospheric temperature distribution. The MRIR experiment was successful, and good data were obtained from launch on May 15 1966 until the recorder failed on July 29, 1966.These images can be used to supplement the radiance data files from the MRIRN2L2 data product.
The HRIRN3IM data product contains scanned negatives of photofacsimile 70mm film strips from the Nimbus-3 High-Resolution Infrared Radiometer. The images contain orbital daytime (0.7 to 1.3 microns) and nighttime (3.4 to 4.2 microns) cloud cover of the Earth's surface temperature. Each orbital swath picture is gridded with geographic coordinates and covers a distance approximately from the south pole to the north pole (day) and the north pole to the south pole (night). The images are saved as JPEG 2000 digital files. About 7 days of images are archived into a TAR file. The processing techniques used to produce the data set and a full description of the data are contained in section 3.4.1 of the "Nimbus III Users' Guide." 

The High Resolution Infrared Radiometer (HRIR) was designed to perform two major functions: first to map the Earth's cloud cover at night to complement the television coverage during the daytime portion of the orbit, and second to measure the temperature of cloud tops and terrain features. The HRIR instrument was launched on the Nimbus-3 satellite and was operational from April 22, 1969 through January 31, 1970.These images can be used to supplement the radiance data files from the HRIRN3L2 data product.
The MRIRN3IM data product consists of 4 x 5 inch photographic film sheets from the Nimbus-3 Medium Resolution Infrared Radiometer. Each film sheet contains an entire orbit (daylight portion) of data measured at five wavelength bands: 6.5-7.0, 10-11, 14.5-15.5, 5-30, and 0.2-4.0 micrometers. There are also associated latitude grids, time, and gray scales representing different temperatures. The images are saved as JPEG 2000 digital files. About 3 weeks of images are archived into a TAR file. The processing techniques used to produce the data set and a full description of the data set are contained in section 4 of the &quot;Nimbus III Users&apos; Guide.&quot; 

The Nimbus 3 Medium-Resolution Infrared Radiometer (MRIR) experiment measured the intensity and distribution of electromagnetic radiation emitted by and reflected from the earth and its atmosphere in five selected wavelength intervals from 0.2 to 30 micrometers. Data for heat balance of the earth-atmosphere system were obtained, as well as measurements of water vapor distribution, surface or near-surface temperatures, and seasonal changes of stratospheric temperature distribution. The MRIR experiment obtained data from April 15 1969 until February 4, 1970.These images can be used to supplement the radiance data files from the MRIRN3L2 data product.
The Nimbus High Resolution Infrared Radiometer (HRIR) was originally designed to perform two major functions: First, to map the Earth's cloud cover at night to complement the television coverage during the daytime portion of the orbit, and second, to measure the temperature of cloud tops and terrain features. 
                  
                  The Nimbus III HRIR was modified to allow nighttime and daytime cloud cover mapping  by use of dual band-pass filter which transmits 0.7 to 1.3 micron, and 3.4 to 4.2 micron radiation.  The improvement of detector temperature control and electronics compensation has eliminated the multiple calibrations of previous instruments.
                  
                  Nighttime operation was in the 3.4 to 4.2 micron near infrared region.  Daytime operation was based on the predominance of reflected solar energy in the 0.7 to 1.3 micron region.  Change-over from nighttime to daytime operation was accomplished automatically (or by ground station command), by actuating a relay in the early stages of the radiometer electronics.  The system gain was reduced in the daytime mode to compensate for the higher energy level present. 
                  
                  The Nimbus III HRIR data are stored in a binary TAP format (proprietary Tape emulated format). 
                  
                  The HRIR instrument was launched on the Nimbus-3 satellite and was operational from April 14, 1966 through July 22, 1969. 
                  
                  [Summary Extracted from the Nimbus III users' guide]
The THIRN4IMCH67 data product consists of daily montages of brightness temperatures on 70 mm photofacsimile film strips from the Nimbus-4 Temperature-Humidity Infrared Radiometer measured at 6.7 microns. Daytime and nighttime orbital swaths are displayed in strips, each corresponding to a distance approximately from pole to pole and a width from horizon to horizon. The ground resolution of 22.6 km at nadir decreases as the horizontal distance from the subsatellite track increases. Each film strip is gridded with geographic coordinates and is identified by orbit number, time, and an indication of whether it is daytime (D) or nighttime (N). The images are saved as JPEG 2000 digital files. About 1 week of images are archived into a TAR file. Additional information can be found in section 3.4.1 of "The Nimbus IV User's Guide". 

The Nimbus 4 Temperature-Humidity Infrared Radiometer (THIR) was designed to detect emitted thermal radiation in both the 10.5- to 12.5-micrometer region (IR window) and the 6.5- to 7.0-micrometer region (water vapor). The window channel measured cloudtop temperatures day and night. The other channel operated primarily at night to map the water vapor distribution in the upper troposphere and stratosphere. The THIR experiment made measurements from April 18, 1970 until April 8, 1971.These images can be used to supplement the radiance data files from the THIRN2L2CH67 data product.
The Nimbus IV was successfully launched on April 8 1970.  Nimbus IV Temperature-Humidity Infrared Radiometer (THIR) experiment replaced the Nimbus III MRIR and HRIR experiments. 

The THIR is a two channel high resolution scanning radiometer designed to perform two major functions:

o 10.5 – 12.5 micron channel provides both day and night cloud top or surface temperatures.  The ground resolution at the sub-point is 8km and operates day and night.

o 6.7 micron channel gives information on the moisture content of the upper troposphere and stratosphere and the location of jet streams and frontal systems. The water vapor  channel has a resolution of the sub-point is 22 km and operates mostly at night.

The Nimbus IV THIR data are available from ??  (Day of  year ??) through ?? (Day of year ??).

The Nimbus IV THIR data are stored in a binary TAP format (proprietary Tape emulated format). 


[Summary Extracted from the Nimbus IV users' guide]
The Nimbus IV was successfully launched on April 8 1970.  Nimbus IV Temperature-Humidity Infrared Radiometer (THIR) experiment replaced the Nimbus III MRIR and HRIR experiments. 
      
      The THIR is a two channel high resolution scanning radiometer designed to perform two major functions:
      
      o 10.5 – 12.5 micron channel provides both day and night cloud top or surface temperatures.  The ground resolution at the sub-point is 8km and operates day and night.
      
      o 6.7 micron channel gives information on the moisture content of the upper troposphere and stratosphere and the location of jet streams and frontal systems. The water vapor  channel has a resolution of the sub-point is 22 km and operates mostly at night.
      
      The Nimbus IV THIR 6.7 micron channel data are available from ??  (Day of  year ??) through ?? (Day of year ??).
      
      The Nimbus IV  THIR 6.7 micron channel data are stored in a binary TAP format (proprietary Tape emulated format). 
      
      
      [Summary Extracted from the Nimbus IV users' guide]
The ESMRN5IM data product consists of daily brightness temperature images on 70-mm photofacsimile film. Each frame contains a geographic grid and two groups of three parallel strips of imagery, each containing one-half the orbital data. The spatial coverage is identical in each group, but each strip has a different dynamic range for its gray scale: 100-200 K, 190-270 K, and 250-300 K, respectively. The spatial resolution is 25 x 25 km near nadir, degrading to 160 km cross-track by 45 km down-track at the ends of the scan. The images are saved as JPEG 2000 digital files. About 2 weeks of images are archived into a TAR file. Additional information can be found in "The Nimbus 5 User's Guide."

The primary objectives of the Nimbus 5 Electrically Scanning Microwave Radiometer (ESMR) were: (1) to derive the liquid water content of clouds from brightness temperatures over oceans, (2) to observe differences between sea ice and the open sea over the polar caps, and (3) to test the feasibility of inferring surface composition and soil moisture. To accomplish these objectives, the ESMR was capable of continuous global mapping of the 1.55-cm (19.36 GHz) microwave radiation emitted by the earth/atmosphere system, and could function even in the presence of cloud conditions that block conventional satellite infrared sensors. The ESMR experiment made measurements from Dec. 11, 1972 until May 16, 1977.These images can be used to supplement the radiance data files from the ESMRN5L2 data product.
The Nimbus-5 Temperature-Humidity Infrared Radiometer (THIR) Level 1 Brightness Temperature at 11.5 microns data product contains radiances expressed in units of equivalent brightness temperature measured in the 10.5 - 12.5 (11.5) micron channel. The data, originally written on IBM 360 machines, were recovered from magnetic tapes, also referred to as Nimbus Meteorological Radiation Tapes (NMRT-THIR). The data are archived in their original IBM 36-bit word proprietary format, also referred to as a binary TAP file.

The Nimbus-5 satellite was successfully launched on December 11, 1972. The Temperature-Humidity Infrared Radiometer (THIR) experiment on Nimbus-5 continues the measurements made by its predecessor flown on Nimbus-4. The THIR instrument is a two channel high resolution scanning radiometer designed to perform two major functions:

o 10.5 – 12.5 micron channel provides both day and night cloud top or surface temperatures. The ground resolution at the sub-point is 8 km and operates day and night.

o 6.7 micron channel gives information on the moisture content of the upper troposphere and stratosphere and the location of jet streams and frontal systems. The water vapor channel has a resolution of the sub-point is 22 km and operates mostly at night. 

The THIR Principal Investigator was Andrew W. McCulloch from NASA Goddard Space Flight Center. The Nimbus-5 THIR data are available from December 19, 1972 (day of year 354) through March 1, 1975 (day of year 60).

(These data were previously archived at NASA NSSDC under the entry ID ESAD-00020.)
The Nimbus-5 Temperature-Humidity Infrared Radiometer (THIR) Level 1 Brightness Temperature at 6.7 microns data product contains radiances expressed in units of equivalent brightness temperature measured in the 6.7 micron channel. The data, originally written on IBM 360 machines, were recovered from magnetic tapes, also referred to as Nimbus Meteorological Radiation Tapes (NMRT-THIR). The data are archived in their original IBM 36-bit word proprietary format, also referred to as a binary TAP file.

The Nimbus-5 satellite was successfully launched on December 11, 1972. The Temperature-Humidity Infrared Radiometer (THIR) experiment on Nimbus-5 continues the measurements made by its predecessor flown on Nimbus-4. The THIR instrument is a two channel high resolution scanning radiometer designed to perform two major functions:

o 10.5 – 12.5 micron channel provides both day and night cloud top or surface temperatures. The ground resolution at the sub-point is 8 km and operates day and night.

o 6.7 micron channel gives information on the moisture content of the upper troposphere and stratosphere and the location of jet streams and frontal systems. The water vapor channel has a resolution of the sub-point is 22 km and operates mostly at night.

The THIR Principal Investigator was Andrew W. McCulloch from NASA Goddard Space Flight Center. The Nimbus-5 THIR data are available from December 19, 1972 (day of year 354) through August 26, 1974 (day of year 238).

(These data were previously archived at NASA NSSDC under the entry ID ESAD-00167.)
The THIRN6IM data product consists of daily montages of brightness temperatures on 70 mm photofacsimile film strips from the Nimbus-6 Temperature-Humidity Infrared Radiometer measured at 6.7 and 11.5 microns. Daytime and nighttime orbital swaths are displayed in strips, each corresponding to a distance approximately from pole to pole and a width from horizon to horizon. The ground resolution of 22.6 km for 6.7 microns and 8.2 km for 11.5 microns at nadir decreases as the horizontal distance from the subsatellite track increases. Each film strip is gridded with geographic coordinates and is identified by orbit number, time, and an indication of whether it is daytime (D) or nighttime (N). The images are saved as JPEG 2000 digital files. About 1 week of images are archived into a TAR file. Additional information can be found in section 2.4.1 of "The Nimbus 6 User's Guide."

The Nimbus 6 Temperature-Humidity Infrared Radiometer (THIR) was designed to detect emitted thermal radiation in both the 10.5- to 12.5-micron region (IR window) and the 6.5- to 7.0-micron region (water vapor). The window channel measured cloudtop temperatures day and night. The other channel operated primarily at night to map the water vapor distribution in the upper troposphere and stratosphere. The THIR experiment made measurements from June 18, 1975 until May 6, 1976.These images can be used to supplement the radiance data files from the THIRN6L2CH67 and THIRN6L2CH115 data products.
The Nimbus-6 Temperature-Humidity Infrared Radiometer (THIR) Level 1 Brightness Temperature at 11.5 microns data product contains radiances expressed in units of equivalent brightness temperature measured in the 10.5 - 12.5 (11.5) micron channel. The data, originally written on IBM 360 machines, were recovered from magnetic tapes, also referred to as Nimbus Meteorological Radiation Tapes (NMRT-THIR). The data are archived in their original IBM 36-bit word proprietary format, also referred to as a binary TAP file.

The Nimbus-6 satellite was successfully launched on June 18, 1975. The Temperature-Humidity Infrared Radiometer (THIR) experiment on Nimbus-6 continues the measurements made by its predecessors flown on Nimbus-4 and Nimbus-5. The THIR instrument is a two channel high resolution scanning radiometer designed to perform two major functions:

o 10.5 – 12.5 micron channel provides both day and night cloud top or surface temperatures. The ground resolution at the sub-point is 8 km and operates day and night.

o 6.7 micron channel gives information on the moisture content of the upper troposphere and stratosphere and the location of jet streams and frontal systems. The water vapor channel has a resolution of the sub-point is 22 km and operates mostly at night. 

The THIR Principal Investigator was Andrew W. McCulloch from NASA Goddard Space Flight Center. The Nimbus-6 THIR data are available from June 18, 1965 (day of year 169) through August 11, 1977 (day of year 233).

(These data were previously archived at NASA NSSDC under the entry ID ESAD-00125.)
The Nimbus-6 Temperature-Humidity Infrared Radiometer (THIR) Level 1 Brightness Temperature at 6.7 microns data product contains radiances expressed in units of equivalent brightness temperature measured in the 6.7 micron channel. The data, originally written on IBM 360 machines, were recovered from magnetic tapes, also referred to as Nimbus Meteorological Radiation Tapes (NMRT-THIR). The data are archived in their original IBM 36-bit word proprietary format, also referred to as a binary TAP file.

The Nimbus-6 satellite was successfully launched on June 18, 1975. The Temperature-Humidity Infrared Radiometer (THIR) experiment on Nimbus-6 continues the measurements made by its predecessors flown on Nimbus-4 and Nimbus-5. The THIR instrument is a two channel high resolution scanning radiometer designed to perform two major functions:

o 10.5 – 12.5 micron channel provides both day and night cloud top or surface temperatures. The ground resolution at the sub-point is 8 km and operates day and night.

o 6.7 micron channel gives information on the moisture content of the upper troposphere and stratosphere and the location of jet streams and frontal systems. The water vapor channel has a resolution of the sub-point is 22 km and operates mostly at night. 

The THIR Principal Investigator was Andrew W. McCulloch from NASA Goddard Space Flight Center. The Nimbus-6 THIR data are available from June 18, 1965 (day of year 169) through August 11, 1977 (day of year 233).
The THIRN7IM data product consists of daily montages of brightness temperatures on 70 mm photofacsimile film strips from the Nimbus-7 Temperature-Humidity Infrared Radiometer measured at 6.7 and 11.5 microns. Daytime and nighttime orbital swaths are displayed in strips, each corresponding to a distance approximately from pole to pole and a width from horizon to horizon. The ground resolution of 22.6 km for 6.7 microns and 8.2 km for 11.5 microns at nadir decreases as the horizontal distance from the subsatellite track increases. Each film strip is gridded with geographic coordinates and is identified by orbit number, time, and an indication of whether it is daytime (D) or nighttime (N). The images are saved as JPEG 2000 digital files. About 1 week of images are archived into a TAR file. Additional information can be found in section 9 of "The Nimbus 7 User's Guide."

The Nimbus 7 Temperature-Humidity Infrared Radiometer (THIR) was designed to detect emitted thermal radiation in both the 10.5- to 12.5-micron region (IR window) and the 6.5- to 7.0-micron region (water vapor). The window channel measured cloudtop temperatures day and night. The other channel operated primarily at night to map the water vapor distribution in the upper troposphere and stratosphere. The THIR experiment made measurements from Oct. 30, 1978 to May 9, 1985 when the instrument was turned off to conserve power.These images can be used to supplement the radiance data files from the THIRN7L2CH67 and THIRN7L2CH115 data products.
Solar and Earth Flux Data in Native Binary Format
This data set contains data for wet and dry nitrogen-species deposition for the United States and Western Europe. Deposition data were acquired directly from monitoring programs in the United States and Europe for time periods from 1978-1994 for wet deposition and from 1989-1994 for dry deposition and evaluated using similar quality assurance criteria to ensure comparability. A standard geostatistical method (kriging) was used to interpolate data onto a 0.5 x 0.5 degree resolution map for wet and dry deposition.
This data set contains data for wet and dry nitrogen-species deposition for the United States and Western Europe. Deposition data were acquired directly from monitoring programs in the United States and Europe for time periods from 1978-1994 for wet deposition and from 1989-1994 for dry deposition and evaluated using similar quality assurance criteria to ensure comparability. A standard geostatistical method (kriging) was used to interpolate data onto a 0.5 x 0.5 degree resolution map for wet and dry deposition.
ABSTRACT: This data set contains data for wet and dry nitrogen-species deposition for the United States and Western Europe. Deposition data were acquired directly from monitoring programs in the United States and Europe for time periods from 1978-1994 for wet deposition and from 1989-1994 for dry deposition and evaluated using similar quality assurance criteria to ensure comparability. A standard geostatistical method (kriging) was used to interpolate data onto a 0.5 x 0.5 degree resolution map for wet and dry deposition.
This data set contains the monthly climatology data of the forcing data for Phase 1 of the North American Land Data Assimilation System (NLDAS-1). The data are in 1/8th degree grid spacing. The temporal resolution is monthly, ranging from January to December. The NLDAS-1 monthly climatology data are the monthly data averaged over the eleven years (1997 - 2007) of the NLDAS-1 monthly data. The file format is WMO GRIB-1.

Brief description about the NLDAS-1 hourly and monthly forcing data can be found from the GCMD DIFs for GES_DISC_NLDAS_FOR0125_H_V001 and  GES_DISC_NLDAS_FOR0125_M_V001 at http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_FOR0125_H_V001 and http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_FOR0125_M_V001.

The data set applies a user-defined parameter table to indicate the contents and parameter number.  The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_FOR_monthly.001.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units.

For more information, please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS1.pdf.
This data set contains a series of land surface parameters simulated from the Mosaic land-surface model (LSM) for Phase 2 of the North American Land Data Assimilation System (NLDAS-2). The data are in 1/8th degree grid spacing and range from Jan 1979 to the present. The temporal resolution is hourly. The file format is WMO GRIB-1.

Details about the NLDAS-2 configuration of the Mosaic LSM can be found in Xia et al. (2012).

Mosaic was developed by Koster and Suarez (1994, 1996) to account for subgrid vegetation variability with a tile approach. Each vegetation tile carries its own energy and water balance and soil moisture and temperature.  Each tile has three soil layers, with the first two in the root zone. In NLDAS, Mosaic is configured to support a maximum of 10 tiles per grid cell with a 5% cutoff that ignores vegetation classes covering less than 5% of the cell. Additionally in NLDAS, all tiles of Mosaic in a grid cell have a predominant soil type and three soil layers with fixed thickness values of 10, 30, and 160 cm (hence constant rooting depth of 40 cm and constant total column depth of 200 cm).

The Mosaic LSM was forced by the hourly NLDAS-2 forcing "File A" files, and contains thirty-seven fields. The data set applies a user-defined parameter table to indicate the contents and parameter number. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_MOS.002.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units.

For information about the vertical layers of the Soil Moisture Content (PDS 086) and Soil Temperature (PDS 085), please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS2.pdf or the GrADS ctl file at ftp://hydro1.sci.gsfc.nasa.gov/data/gds/NLDAS/NLDAS_MOS0125_H.002.ctl.
This data set contains a series of land surface parameters simulated from the Mosaic land-surface model (LSM) for Phase 2 of the North American Land Data Assimilation System (NLDAS-2).  The data are in 1/8th degree grid spacing and range from Jan 1979 to the present. The temporal resolution is monthly.  The file format is WMO GRIB-1. The NLDAS-2 monthly Mosaic model data were generated from the NLDAS-2 hourly  Mosaic model data, as monthly accumulation for rainfall, snowfall, subsurface runoff, surface runoff, total evapotranspiration, and snow melt, and monthly average for other variables. Monthly period of each month is from 00Z at start of the month to 23:59Z at end of the month, except the first month (Jan. 1979) that starts from 00Z 02 Jan 1979. 

Brief description about the NLDAS-2 monthly Mosaic model can be found from the GCMD DIF for NLDAS-2 hourly Mosaic data GES_DISC_NLDAS_MOS0125_H_V002 at http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_MOS0125_H_V002.

Details about the NLDAS-2 configuration of the Mosaic LSM can be found in Xia et al. (2012).

The NLDAS-2 monthly Mosaic model data contain thirty-seven fields.  The data set applies a user-defined parameter table to indicate the contents and parameter number. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_MOS.002.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units.

For information about the vertical layers of the Soil Moisture Content (PDS 086) and Soil Temperature (PDS 085), please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS2.pdf or the GrADS ctl file at ftp://hydro1.sci.gsfc.nasa.gov/data/gds/NLDAS/NLDAS_MOS0125_M.002.ctl.
This monthly climatology data set contains a series of land surface parameters simulated from the Mosaic land-surface model (LSM) for Phase 2 of the North American Land Data Assimilation System (NLDAS-2).  The data are in 1/8th degree grid spacing. The temporal resolution is monthly, ranging from January to December. The NLDAS-2 monthly climatology data are the monthly data averaged over the thirty years (1980 - 2009) of the NLDAS-2 monthly data. The file format is WMO GRIB-1.

Brief description about the NLDAS-2 hourly and monthly Mosaic LSM data can be found from the GCMD DIFs for GES_DISC_NLDAS_MOS0125_H_V002 and  GES_DISC_NLDAS_MOS0125_M_V002 at http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_MOS0125_H_V002 and http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_MOS0125_M_V002.

Details about the NLDAS-2 configuration of the Mosaic LSM can be found in Xia et al. (2012).

The NLDAS-2 Mosaic model monthly climatology data set contains thirty-seven fields.  The data set applies a user-defined parameter table to indicate the contents and parameter number. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_MOS.002.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units.

There are six vertical levels for the Soil Moisture (PDS 086) in the Mosaic GRIB files. For more information, please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS2.pdf or the GrADS ctl file at ftp://hydro1.sci.gsfc.nasa.gov/data/gds/NLDAS/NLDAS_MOS0125_MC.002.ctl.
This monthly climatology data set contains a series of land surface parameters simulated from the Noah land-surface model (LSM) for Phase 2 of the North American Land Data Assimilation System (NLDAS-2).  The data are in 1/8th degree grid spacing. The temporal resolution is monthly, ranging from January to December. The NLDAS-2 monthly climatology data are the monthly data averaged over the thirty years (1980 - 2009) of the NLDAS-2 monthly data. The file format is WMO GRIB-1.

Brief description about the NLDAS-2 hourly and monthly Noah LSM data can be found from the GCMD DIFs for GES_DISC_NLDAS_NOAH0125_H_V002 and  GES_DISC_NLDAS_NOAH0125_M_V002 at http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_NOAH0125_H_V002 and http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_NOAH0125_M_V002.

Details about the NLDAS-2 configuration of the Noah LSM can be found in Xia et al. (2012).

The NLDAS-2 Noah monthly climatology data contain fifty-two fields. The data set applies a user-defined parameter table to indicate the contents and parameter number. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_NOAH.002.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units.

There are four vertical levels for the Soil Moisture Content (PDS 086) and Soil Temperature (PDS 085) in the Noah GRIB files. For more information, please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS2.pdf or the GrADS ctl file at ftp://hydro1.sci.gsfc.nasa.gov/data/gds/NLDAS/NLDAS_NOAH0125_MC.002.ctl.
This data set contains the monthly primary forcing data "File A" for Phase 2 of the North American Land Data Assimilation System (NLDAS-2). The data are in 1/8th degree grid spacing and range from Jan 1979 to the present. The temporal resolution is monthly. The file format is WMO GRIB-1. 

The NLDAS-2 monthly primary forcing data were generated from the NLDAS-2 hourly primary forcing data, as monthly accumulation for total precipitation, convective precipitation, and potential evaporation, and monthly average for other variables. The convective precipitation monthly total is the hourly convective fraction multiplied by the hourly precipitation (both from the NLDAS-2 "File A" files), and then summed over all hours of the month. Monthly period of each month is from 00Z at start of the month to 23:59Z at end of the month. The one exception to this is the first month (Jan. 1979) that starts from 00Z 02 Jan 1979, except for the monthly accumulated  precipitation and convective precipitation that both start from 12Z 01 Jan 1979. 

Brief description about the NLDAS-2 hourly primary forcing data can be found from the GCMD DIF for GES_DISC_NLDAS_FORA0125_H_V002 at http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_FORA0125_H_V002. 

Details about the generation of the NLDAS-2 forcing datasets can be found in Xia et al. (2012).

The monthly land surface forcing fields for NLDAS-2 are grouped into two GRIB files, "File A" and "File B".  "File A" is the primary (default) forcing file and contains eleven fields.  The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_FORA_monthly.002.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units.

For more information, please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS2.pdf.
This data set contains the monthly climatology data of the primary forcing data for Phase 2 of the North American Land Data Assimilation System (NLDAS-2). The data are in 1/8th degree grid spacing. The temporal resolution is monthly, ranging from January to December. The NLDAS-2 monthly climatology data are the monthly data averaged over the thirty years (1980 - 2009) of the NLDAS-2 monthly data. The file format is WMO GRIB-1.

Brief description about the NLDAS-2 hourly and monthly primary forcing data can be found from the GCMD DIFs for GES_DISC_NLDAS_FORA0125_H_V002 and  GES_DISC_NLDAS_FORA0125_M_V002 at http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_FORA0125_H_V002 and http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_FORA0125_M_V002.

Details about the generation of the NLDAS-2 forcing datasets can be found in Xia et al. (2012).

The monthly climatology land surface forcing fields for NLDAS-2 are grouped into two GRIB files, "File A" and "File B".  "File A" is the primary (default) forcing file and contains eleven fields.  The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_FORA_hourly.002.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units.

For more information, please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS2.pdf.
This data set contains the monthly secondary forcing data "File B" for Phase 2 of the North American Land Data Assimilation System (NLDAS-2).  The data are in 1/8th degree grid spacing and range from Jan 1979 to the present. The temporal resolution is monthly.  The file format is WMO GRIB-1. The NLDAS-2 monthly secondary forcing data were generated from the NLDAS-2 hourly secondary forcing data, as monthly accumulation for precipitation and convective precipitation and monthly average for other variables. Monthly period of each month is from 00Z at start of the month to 23:59Z at end of the month.  The one exception to this is the first month (Jan. 1979) that starts from 00Z 02 Jan 1979, except for the monthly accumulated precipitation and convective precipitation that both start from 12Z 01 Jan 1979.

Brief description about the NLDAS-2 hourly secondary forcing data can be found from the GCMD DIF for GES_DISC_NLDAS_FORB0125_H_V002 at http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_FORB0125_H_V002. 

Details about the generation of the NLDAS-2 forcing datasets can be found in Xia et al. (2012).

The NLDAS-2 monthly land surface forcing fields are grouped into two GRIB files, "File A" and "File B".  "File B" is the secondary (optional) forcing file and contains ten fields.  The data set applies a user-defined parameter table to indicate the contents and parameter number.  The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_FORB_monthly.002.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units.

For more information, please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS2.pdf.
This data set contains the monthly climatology data of the secondary forcing data for Phase 2 of the North American Land Data Assimilation System (NLDAS-2). The data are in 1/8th degree grid spacing. The temporal resolution is monthly, ranging from January to December. The NLDAS-2 monthly climatology data are the monthly data averaged over the thirty years (1980 - 2009) of the NLDAS-2 monthly data. The file format is WMO GRIB-1.

Brief description about the NLDAS-2 hourly and monthly primary forcing data can be found from the GCMD DIFs for GES_DISC_NLDAS_FORB0125_H_V002 and  GES_DISC_NLDAS_FORB0125_M_V002 at http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_FORB0125_H_V002 and http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_FORB0125_M_V002.

Details about the generation of the NLDAS-2 forcing datasets can be found in Xia et al. (2012).

The NLDAS-2 monthly climatology land surface forcing fields are grouped into two GRIB files, "File A" and "File B".  "File B" is the secondary (optional) forcing file and contains ten fields.  The data set applies a user-defined parameter table to indicate the contents and parameter number.  The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_FORB_monthly.002.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units.

For more information, please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS2.pdf.
This data set contains a series of land surface parameters simulated from the VIC land-surface model (LSM) for Phase 2 of the North American Land Data Assimilation System (NLDAS-2). The data are in 1/8th degree grid spacing and range from Jan 1979 to the present. The temporal resolution is hourly. The file format is WMO GRIB-1.

Details about the NLDAS-2 configuration of the VIC LSM can be found in Xia et al. (2012). The version of the VIC model for the NLDAS-2 VIC data available from the NASA GES DISC is VIC-4.0.3; this version of the VIC model is the same as used in Sheffield et al. (2003). 

The VIC model was developed at the University of Washington and Princeton University as a macroscale, semi-distributed, grid-based, hydrologic model [Liang et al., 1994; Wood et al., 1997].  The full water and energy balance modes of VIC were used for NLDAS-2. VIC uses three soil layers, with thicknesses that vary spatially. The root zone depends on the vegetation type and its root distribution, and can span all three soil layers. The VIC model includes a two-layer energy balance snow model [Cherkauer et al., 2003].

The VIC LSM was forced by the hourly NLDAS-2 forcing "File A" files, and contains forty-three fields. The data set applies a user-defined parameter table to indicate the contents and parameter number. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_VIC.002.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units.

For information about the vertical layers of the Soil Moisture Content (PDS 086), Soil Temperature (PDS 085), and Liquid Soil Moisture Content (PDS 151), please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS2.pdf or the GrADS ctl file at ftp://hydro1.sci.gsfc.nasa.gov/data/gds/NLDAS/NLDAS_VIC0125_H.002.ctl.
Abstract: This data set contains a series of land surface parameters simulated from the VIC land-surface model (LSM) for Phase 2 of the North American Land Data Assimilation System (NLDAS-2). The data are in 1/8th degree grid spacing. The temporal resolution is monthly, ranging from January to December. The file format is WMO GRIB-1. The NLDAS-2 monthly climatology data are the monthly data averaged over the thirty years (1980-2009) of the NLDAS-2 monthly data.

Brief description about the NLDAS-2 hourly and monthly VIC LSM data can be found from the GCMD DIFs for GES_DISC_NLDAS_VIC0125_H_V002 and GES_DISC_NLDAS_VIC0125_M_V002 at http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_VIC0125_H_V002 and http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_VIC0125_M_V002. 

Details about the NLDAS-2 configuration of the VIC LSM can be found in Xia et al. (2012). The version of the VIC model for the NLDAS-2 VIC data available from the NASA GES DISC is VIC-4.0.3; this version of the VIC model is the same as used in Sheffield et al. (2003).

The NLDAS-2 VIC monthly climatology data contain forty-three fields. The data set applies a user-defined parameter table to indicate the contents and parameter number. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_VIC.002.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units.

For information about the vertical layers of the Soil Moisture Content (PDS 086), Soil Temperature (PDS 085), and Liquid Soil Moisture Content (PDS 151), please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS2.pdf or the GrADS ctl file at ftp://hydro1.sci.gsfc.nasa.gov/data/gds/NLDAS/NLDAS_VIC0125_MC.002.ctl.
NMC interpolated upper air condition data received from NESDIS
NMC interpolated upper air condition data received from NESDIS
ABSTRACT: NMC interpolated upper air condition data received from NESDIS
Hourly surface weather reports collected by NESDIS for stations near FIFE
Hourly surface weather reports collected by NESDIS for stations near FIFE
ABSTRACT: Hourly surface weather reports collected by NESDIS for stations near FIFE
North American ASTER Land Surface Emissivity Database (Suggested Usage: Science Research)
ABSTRACT: The U.S. Department of Agriculture, Agriculture and Agri-Food Canada, the Russian Academy of Agricultural Sciences, the University of Copenhagen Institute of Geography, the European Soil Bureau, the University of Manchester Institute of Landscape Ecology, MTT Agrifood Research Finland, and the Agricultural Research Institute Iceland have shared data and expertise in order to develop the Northern and Mid Latitude Soil Database (Cryosol Working Group, 2001). This database was the source of data for the current product. The spatial coverage of the Northern and Mid Latitude Soil Database is the polar and mid-latitude regions of the northern hemisphere: Alaska, Canada, Conterminous United States, Eurasia (except Italy), Greenland, Iceland, Kazakstan, Mexico, Mongolia, Italy, and Svalbard. The Northern and Mid-Latitude Soil Database represents the proportion (percentage) of polygon encompassed by the dominant soil or nonsoil. Soils include turbels, orthels, histels, histosols, mollisols, vertisols, aridisols, andisols, entisols, spodosols, inceptisols (and hapludolls), alfisols (cryalf and udalf), natric great groups, aqu-suborders, glaciers, and rocklands. Also included are data on the circumpolar distribution of gelisols (turbels, orthels, and histels), and the ice content (low, medium, or high) of circumpolar soil materials (from the International Permafrost Association, 1997). The resulting maps show the dominant soil of the spatial polygon unless the polygon is over 90 percent rock or ice. Data are in the U.S. soil classification system and includes the distribution of soil types (%) within a map unit (polygon). Data are available in ESRI shapefile format and ESRI interchange file format and include the same attribute values with the exception of Italy, which does not contain distribution values.
ABSTRACT: The U.S. Department of Agriculture, Agriculture and Agri-Food Canada, the Russian Academy of Agricultural Sciences, the University of Copenhagen Institute of Geography, the European Soil Bureau, the University of Manchester Institute of Landscape Ecology, MTT Agrifood Research Finland, and the Agricultural Research Institute Iceland have shared data and expertise in order to develop the Northern and Mid Latitude Soil Database (Cryosol Working Group, 2001). This database was the source of data for the current product. The spatial coverage of the Northern and Mid Latitude Soil Database is the polar and mid-latitude regions of the northern hemisphere: Alaska, Canada, Conterminous United States, Eurasia (except Italy), Greenland, Iceland, Kazakstan, Mexico, Mongolia, Italy, and Svalbard. The Northern and Mid-Latitude Soil Database represents the proportion (percentage) of polygon encompassed by the dominant soil or nonsoil. Soils include turbels, orthels, histels, histosols, mollisols, vertisols, aridisols, andisols, entisols, spodosols, inceptisols (and hapludolls), alfisols (cryalf and udalf), natric great groups, aqu-suborders, glaciers, and rocklands. Also included are data on the circumpolar distribution of gelisols (turbels, orthels, and histels), and the ice content (low, medium, or high) of circumpolar soil materials (from the International Permafrost Association, 1997). The resulting maps show the dominant soil of the spatial polygon unless the polygon is over 90 percent rock or ice. Data are in the U.S. soil classification system and includes the distribution of soil types (%) within a map unit (polygon). Data are available in ESRI shapefile format and ESRI interchange file format and include the same attribute values with the exception of Italy, which does not contain distribution values.
ABSTRACT: The U.S. Department of Agriculture, Agriculture and Agri-Food Canada, the Russian Academy of Agricultural Sciences, the University of Copenhagen Institute of Geography, the European Soil Bureau, the University of Manchester Institute of Landscape Ecology, MTT Agrifood Research Finland, and the Agricultural Research Institute Iceland have shared data and expertise in order to develop the Northern and Mid Latitude Soil Database (Cryosol Working Group, 2001). This database was the source of data for the current product. The spatial coverage of the Northern and Mid Latitude Soil Database is the polar and mid-latitude regions of the northern hemisphere: Alaska, Canada, Conterminous United States, Eurasia (except Italy), Greenland, Iceland, Kazakstan, Mexico, Mongolia, Italy, and Svalbard. The Northern and Mid-Latitude Soil Database represents the proportion (percentage) of polygon encompassed by the dominant soil or nonsoil. Soils include turbels, orthels, histels, histosols, mollisols, vertisols, aridisols, andisols, entisols, spodosols, inceptisols (and hapludolls), alfisols (cryalf and udalf), natric great groups, aqu-suborders, glaciers, and rocklands. Also included are data on the circumpolar distribution of gelisols (turbels, orthels, and histels), and the ice content (low, medium, or high) of circumpolar soil materials (from the International Permafrost Association, 1997). The resulting maps show the dominant soil of the spatial polygon unless the polygon is over 90 percent rock or ice. Data are in the U.S. soil classification system and includes the distribution of soil types (%) within a map unit (polygon). Data are available in ESRI shapefile format and ESRI interchange file format and include the same attribute values with the exception of Italy, which does not contain distribution values.
This data set comprises a 50-year record of daily extratropical cyclone statistics computed for the Northern Hemisphere. Cyclone locations and characteristics were obtained by applying the updated Serreze (1997) algorithm to daily Sea Level Pressure (SLP) data at six-hour intervals (Serreze and Barrett 2008). The SLP source data are part of the National Centers for Environmental Prediction (NCEP) and National Center for Atmospheric Research (NCAR) Reanalysis data set, an assimilation of various atmospheric data collected by a wide variety of sensors within a global weather model. The parameters included in this data set are the position and central pressure of each cyclone, the distance the center of the cyclone traveled, whether the observation represents a cyclogenesis or cyclolysis event, and the local Laplacian of SLP and Sea Level Pressure Tendency (SLPT) at each cyclone center. The total volume of this data set is approximately 150 megabytes. Data are provided in tab-delimited ASCII text format and are available via FTP.
This data set comprises a 50-year record of daily extratropical cyclone statistics computed for the Northern Hemisphere. Cyclone locations and characteristics were obtained by applying the updated Serreze (1997) algorithm to daily Sea Level Pressure (SLP) data at six-hour intervals (Serreze and Barrett 2008). The SLP source data are part of the National Centers for Environmental Prediction (NCEP) and National Center for Atmospheric Research (NCAR) Reanalysis data set, an assimilation of various atmospheric data collected by a wide variety of sensors within a global weather model. The parameters included in this data set are the position and central pressure of each cyclone, the distance the center of the cyclone traveled, whether the observation represents a cyclogenesis or cyclolysis event, and the local Laplacian of SLP and Sea Level Pressure Tendency (SLPT) at each cyclone center. The total volume of this data set is approximately 150 megabytes. Data are provided in tab-delimited ASCII text format and are available via FTP.
This data set comprises a 50-year record of daily extratropical cyclone statistics computed for the Northern Hemisphere. Cyclone locations and characteristics were obtained by applying the updated Serreze (1997) algorithm to daily Sea Level Pressure (SLP) data at six-hour intervals (Serreze and Barrett 2008). The SLP source data are part of the National Centers for Environmental Prediction (NCEP) and National Center for Atmospheric Research (NCAR) Reanalysis data set, an assimilation of various atmospheric data collected by a wide variety of sensors within a global weather model. The parameters included in this data set are the position and central pressure of each cyclone, the distance the center of the cyclone traveled, whether the observation represents a cyclogenesis or cyclolysis event, and the local Laplacian of SLP and Sea Level Pressure Tendency (SLPT) at each cyclone center. The total volume of this data set is approximately 150 megabytes. Data are provided in tab-delimited ASCII text format and are available via FTP.
This data set contains two files (.txt). One file contains stand characteristics, soil characteristics, biomass distribution, and production allocation data measured during the 1984 growing season in four lodgepole pine stands (Pinus contorta var. latifolia) located near Canal Flats, British Columbia, Canada (50.2 N -115.5 W Elevation 1,300-1,380 m). The second file contains climate data from a nearby weather station at Kananaskis Boundary, Alberta (50.98 N -115.12 W Elevation 1,463 m). Two lodgepole pine stands were growing on xeric sites and two stands were growing on mesic sites. The stands were 70-78 years old, were unmanaged, and had regenerated naturally following wildfire. They were studied to determine the influence of soil water content on resource allocation to above-ground versus below-ground plant components. Above-ground NPP of the two xeric stands was 350 and 330 g/m2/yr, and below-ground NPP was 430 and 630 g/m2/yr, respectively, giving a range of total NPP from 780 to 960 g/m2/yr. ANPP of the two mesic stands was 640 and 740 g/m2/yr, and BNPP was 550 and 450 g/m2/yr, respectively, giving total NPP of 1,190 g/m2/yr in each case. Although the ANPP of the mesic stands was approximately double that of the two xeric stands, total NPP was only 36% greater for the mesic stands than for the xeric stands. Production allocation was in the following order: fine and small roots > stems > foliage > coarse roots > branches, for all but the wettest site, where stem production exceeded fine and small root production. Revision Notes: This data set has been revised to correct the sampling date (month) when above-ground biomass samples were collected. Please see the Data Set Revisions section of this document for detailed information.
This data set contains two files (.txt). One file contains stand characteristics, soil characteristics, biomass distribution, and production allocation data measured during the 1984 growing season in four lodgepole pine stands (Pinus contorta var. latifolia) located near Canal Flats, British Columbia, Canada (50.2 N -115.5 W Elevation 1,300-1,380 m). The second file contains climate data from a nearby weather station at Kananaskis Boundary, Alberta (50.98 N -115.12 W Elevation 1,463 m). Two lodgepole pine stands were growing on xeric sites and two stands were growing on mesic sites. The stands were 70-78 years old, were unmanaged, and had regenerated naturally following wildfire. They were studied to determine the influence of soil water content on resource allocation to above-ground versus below-ground plant components. Above-ground NPP of the two xeric stands was 350 and 330 g/m2/yr, and below-ground NPP was 430 and 630 g/m2/yr, respectively, giving a range of total NPP from 780 to 960 g/m2/yr. ANPP of the two mesic stands was 640 and 740 g/m2/yr, and BNPP was 550 and 450 g/m2/yr, respectively, giving total NPP of 1,190 g/m2/yr in each case. Although the ANPP of the mesic stands was approximately double that of the two xeric stands, total NPP was only 36% greater for the mesic stands than for the xeric stands. Production allocation was in the following order: fine and small roots > stems > foliage > coarse roots > branches, for all but the wettest site, where stem production exceeded fine and small root production. Revision Notes: This data set has been revised to correct the sampling date (month) when above-ground biomass samples were collected. Please see the Data Set Revisions section of this document for detailed information.
ABSTRACT: This data set contains two files (.txt). One file contains stand characteristics, soil characteristics, biomass distribution, and production allocation data measured during the 1984 growing season in four lodgepole pine stands (Pinus contorta var. latifolia) located near Canal Flats, British Columbia, Canada (50.2 N -115.5 W Elevation 1,300-1,380 m). The second file contains climate data from a nearby weather station at Kananaskis Boundary, Alberta (50.98 N -115.12 W Elevation 1,463 m). Two lodgepole pine stands were growing on xeric sites and two stands were growing on mesic sites. The stands were 70-78 years old, were unmanaged, and had regenerated naturally following wildfire. They were studied to determine the influence of soil water content on resource allocation to above-ground versus below-ground plant components. Above-ground NPP of the two xeric stands was 350 and 330 g/m2/yr, and below-ground NPP was 430 and 630 g/m2/yr, respectively, giving a range of total NPP from 780 to 960 g/m2/yr. ANPP of the two mesic stands was 640 and 740 g/m2/yr, and BNPP was 550 and 450 g/m2/yr, respectively, giving total NPP of 1,190 g/m2/yr in each case. Although the ANPP of the mesic stands was approximately double that of the two xeric stands, total NPP was only 36% greater for the mesic stands than for the xeric stands. Production allocation was in the following order: fine and small roots > stems > foliage > coarse roots > branches, for all but the wettest site, where stem production exceeded fine and small root production. Revision Notes: This data set has been revised to correct the sampling date (month) when above-ground biomass samples were collected. Please see the Data Set Revisions section of this document for detailed information.
This data set provides estimates of above- and below-ground biomass, above- and below-ground NPP (ANPP and BNPP), and total NPP(TNPP) for selected North American and Eurasian boreal forests located between 66.37 degrees N and 47.5 degrees N. Each stand was selected through a review of published literature and classified into one of three classes, depending upon completeness of NPP budget, ancillary site data, and stand information. Within the overall 1965-1995 temporal range, data available for individual sites varies widely.There are two ASCII files (comma-separated-value format) of NPP data.	The first file provides carbon distribution in above- and below-ground vegetation biomass, above- and below-ground net primary production, and mean annual biomass increment for twenty-four (24) Class I sites which have complete NPP budgets (ANPP + BNPP). Information about site characteristics and NPP measurement approaches are also provided.	The second file provides stand information, carbon distribution in above-ground vegetation biomass, and ANPP data for forty-five (45) Class II boreal forest stands that have incomplete NPP budgets. Revision Notes:Above- and below-ground biomass, ANPP, and TNPP values for several sites have been corrected to agree with primary published sources and related data sets. The temporal coverage for both has been corrected to agree with primary published sources. Please see the Data Set Revision section of this document for detailed information.
This data set provides estimates of above- and below-ground biomass, above- and below-ground NPP (ANPP and BNPP), and total NPP(TNPP) for selected North American and Eurasian boreal forests located between 66.37 degrees N and 47.5 degrees N. Each stand was selected through a review of published literature and classified into one of three classes, depending upon completeness of NPP budget, ancillary site data, and stand information. Within the overall 1965-1995 temporal range, data available for individual sites varies widely.There are two ASCII files (comma-separated-value format) of NPP data.	The first file provides carbon distribution in above- and below-ground vegetation biomass, above- and below-ground net primary production, and mean annual biomass increment for twenty-four (24) Class I sites which have complete NPP budgets (ANPP + BNPP). Information about site characteristics and NPP measurement approaches are also provided.	The second file provides stand information, carbon distribution in above-ground vegetation biomass, and ANPP data for forty-five (45) Class II boreal forest stands that have incomplete NPP budgets. Revision Notes:Above- and below-ground biomass, ANPP, and TNPP values for several sites have been corrected to agree with primary published sources and related data sets. The temporal coverage for both has been corrected to agree with primary published sources. Please see the Data Set Revision section of this document for detailed information.
ABSTRACT: This data set provides estimates of above- and below-ground biomass, above- and below-ground NPP (ANPP and BNPP), and total NPP(TNPP) for selected North American and Eurasian boreal forests located between 66.37 degrees N and 47.5 degrees N. Each stand was selected through a review of published literature and classified into one of three classes, depending upon completeness of NPP budget, ancillary site data, and stand information. Within the overall 1965-1995 temporal range, data available for individual sites varies widely.There are two ASCII files (comma-separated-value format) of NPP data.The first file provides carbon distribution in above- and below-ground vegetation biomass, above- and below-ground net primary production, and mean annual biomass increment for twenty-four (24) Class I sites which have complete NPP budgets (ANPP + BNPP). Information about site characteristics and NPP measurement approaches are also provided.The second file provides stand information, carbon distribution in above-ground vegetation biomass, and ANPP data for forty-five (45) Class II boreal forest stands that have incomplete NPP budgets. Revision Notes:Above- and below-ground biomass, ANPP, and TNPP values for several sites have been corrected to agree with primary published sources and related data sets. The temporal coverage for both has been corrected to agree with primary published sources. Please see the Data Set Revision section of this document for detailed information.
This data set contains three files (.txt format) for an established 8.25 ha boreal forest dominated by Norway spruce, Picea abies, at Flakaliden (64.12 N 19.45 E) in northern Sweden. Two data files contain stand characteristics, above- and below-ground biomass, and  Net Primary Productivity (NPP) allocation data (one file for plots fertilized and irrigated during the growing season and one file for control plots). The third file provides climate data for the period 1991-1995 from a weather station established at the study site. The experimental forest was established in 1963 by planting 4-year-old P. abies seedlings after clear-felling, burning, and soil scarification. A yield optimization study was started in 1986 to compare the productivity of the boreal forest under four types of treatment (only the results of fertilization/irrigation and no treatment are presented herein). Treatments began in 1987 and continued through the 1996 growing season. Field measurements were made by inventory and harvest methods. After three years of treatment, height and diameter growth in the fertilized/irrigated stands were double that of the control stand. After 10 years, volume growth of fertilized/irrigated stands were almost four times that of the control. Total net primary production (TNPP) of the 36-year-old untreated stand in 1995 was 291 g/m2/year. TNPP in the fertilized/irrigated stand (902 g/m2/year) was more than three times that of the control, confirming earlier findings that nutrient availability is a major constraint on forest production in Sweden.
This data set contains three files (.txt format) for an established 8.25 ha boreal forest dominated by Norway spruce, Picea abies, at Flakaliden (64.12 N 19.45 E) in northern Sweden. Two data files contain stand characteristics, above- and below-ground biomass, and  Net Primary Productivity (NPP) allocation data (one file for plots fertilized and irrigated during the growing season and one file for control plots). The third file provides climate data for the period 1991-1995 from a weather station established at the study site. The experimental forest was established in 1963 by planting 4-year-old P. abies seedlings after clear-felling, burning, and soil scarification. A yield optimization study was started in 1986 to compare the productivity of the boreal forest under four types of treatment (only the results of fertilization/irrigation and no treatment are presented herein). Treatments began in 1987 and continued through the 1996 growing season. Field measurements were made by inventory and harvest methods. After three years of treatment, height and diameter growth in the fertilized/irrigated stands were double that of the control stand. After 10 years, volume growth of fertilized/irrigated stands were almost four times that of the control. Total net primary production (TNPP) of the 36-year-old untreated stand in 1995 was 291 g/m2/year. TNPP in the fertilized/irrigated stand (902 g/m2/year) was more than three times that of the control, confirming earlier findings that nutrient availability is a major constraint on forest production in Sweden.
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: This data set contains three files (.txt format). One file provides stand characteristics, biomass, and production allocation data for an old-growth boreal forest near Kuusamo, Finland. The research was conducted during the 1967-1972 growing seasons. The other two files provide climate data from a weather station about 60 km south of the forest. One record contains precipitation and mean average temperature data for the 1961-1994 period (excluding 1971-1980) and the other contains precipitation data for 1908-1994. The Kuusamo research site is located just south of the Arctic Circle (66.37 N 29.32 E) and belongs to the northern boreal zone of taiga forests. The forest is an old Hylocomium-Myrtillus type spruce forest which has remained in a natural state and reached climatic climax long ago. The average age of the dominant spruces (Picea abies) is about 260 years. There is a well-developed ground layer of vegetation, chiefly dwarf scrub and mosses (dominant species: Vaccinium myrtillus, V. vitis-idaea, Hylocomium splendens, and Pleurozium schreberi). The northerly location of the forest and the age of its trees are the main factors responsible for low biomass and net production figures in comparison with spruce forests further south. Total above-ground biomass (including tree, understory, and moss layers) was determined by harvest methods and estimated to be 10,194 g/m2. Below-ground tree biomass estimates, also determined by harvest methods, are less reliable, at 3,753 g/m2. Total net primary productivity (NPP) for this site was estimated to be 441 g/m2/yr (421 g/m2/yr above-ground, 20 g/m2/yr below-ground).
ABSTRACT: This data set contains three files (.txt format). One file provides stand characteristics, biomass, and production allocation data for an old-growth boreal forest near Kuusamo, Finland. The research was conducted during the 1967-1972 growing seasons. The other two files provide climate data from a weather station about 60 km south of the forest. One record contains precipitation and mean average temperature data for the 1961-1994 period (excluding 1971-1980) and the other contains precipitation data for 1908-1994. The Kuusamo research site is located just south of the Arctic Circle (66.37 N 29.32 E) and belongs to the northern boreal zone of taiga forests. The forest is an old Hylocomium-Myrtillus type spruce forest which has remained in a natural state and reached climatic climax long ago. The average age of the dominant spruces (Picea abies) is about 260 years. There is a well-developed ground layer of vegetation, chiefly dwarf scrub and mosses (dominant species: Vaccinium myrtillus, V. vitis-idaea, Hylocomium splendens, and Pleurozium schreberi). The northerly location of the forest and the age of its trees are the main factors responsible for low biomass and net production figures in comparison with spruce forests further south. Total above-ground biomass (including tree, understory, and moss layers) was determined by harvest methods and estimated to be 10,194 g/m2. Below-ground tree biomass estimates, also determined by harvest methods, are less reliable, at 3,753 g/m2. Total net primary productivity (NPP) for this site was estimated to be 441 g/m2/yr (421 g/m2/yr above-ground, 20 g/m2/yr below-ground).
ABSTRACT: This data set contains three files (.txt format). One file provides stand characteristics, biomass, and production allocation data for an old-growth boreal forest near Kuusamo, Finland. The research was conducted during the 1967-1972 growing seasons. The other two files provide climate data from a weather station about 60 km south of the forest. One record contains precipitation and mean average temperature data for the 1961-1994 period (excluding 1971-1980) and the other contains precipitation data for 1908-1994. The Kuusamo research site is located just south of the Arctic Circle (66.37 N 29.32 E) and belongs to the northern boreal zone of taiga forests. The forest is an old Hylocomium-Myrtillus type spruce forest which has remained in a natural state and reached climatic climax long ago. The average age of the dominant spruces (Picea abies) is about 260 years. There is a well-developed ground layer of vegetation, chiefly dwarf scrub and mosses (dominant species: Vaccinium myrtillus, V. vitis-idaea, Hylocomium splendens, and Pleurozium schreberi). The northerly location of the forest and the age of its trees are the main factors responsible for low biomass and net production figures in comparison with spruce forests further south. Total above-ground biomass (including tree, understory, and moss layers) was determined by harvest methods and estimated to be 10,194 g/m2. Below-ground tree biomass estimates, also determined by harvest methods, are less reliable, at 3,753 g/m2. Total net primary productivity (NPP) for this site was estimated to be 441 g/m2/yr (421 g/m2/yr above-ground, 20 g/m2/yr below-ground).
ABSTRACT: This data set contains two files (.txt format) for study sites in the Mississagi River area of Ontario, Canada (46.35 N -83.38 W elevation 860 m). One file summarizes the results of a series of investigations on the nutrition of jack pine ecosystems, including stand characteristics, above-ground biomass, and where available, litterfall amount and nutrient content of vegetation, litterfall, and soil horizons. Field data were collected in three jack pine (Pinus banksiana) study plots between 1969 and 1973. The stands were 20, 30, and 65 years of age. The second file contains climate data recorded at two weather stations near the Mississagi sites. Precipitation data were obtained from Saulte Sainte Marie, Michigan, USA (46.5 N -84.4 W elevation 218 m) and temperature data were obtained from Saulte Sainte Marie, Ontario, Canada (46.5 N -84.5 W elevation 188 m). Net primary productivity (NPP) was not directly measured, but is estimated based on above-ground tree growth and litterfall. For the different aged stands, above-ground tree growth was estimated at 262 g/m2/yr (0-20 years), 289 g/m2/yr (20-30 years), and 93 g/m2/yr (30-65 years). Annual tree litter production for the 30-year-old stand averaged 372.9 g/m2/yr over the course of 3 years. Understory litterfall production for the 30-year-old stand in one year was 33.1 g/m2/yr. Revision Notes: The NPP and climate data files for Mississagi have been revised to correct previously reported temporal coverage and litterfall data. Please see the Data Set Revisions section of this document for detailed information.
ABSTRACT: This data set contains two files (.txt format) for study sites in the Mississagi River area of Ontario, Canada (46.35 N -83.38 W elevation 860 m). One file summarizes the results of a series of investigations on the nutrition of jack pine ecosystems, including stand characteristics, above-ground biomass, and where available, litterfall amount and nutrient content of vegetation, litterfall, and soil horizons. Field data were collected in three jack pine (Pinus banksiana) study plots between 1969 and 1973. The stands were 20, 30, and 65 years of age. The second file contains climate data recorded at two weather stations near the Mississagi sites. Precipitation data were obtained from Saulte Sainte Marie, Michigan, USA (46.5 N -84.4 W elevation 218 m) and temperature data were obtained from Saulte Sainte Marie, Ontario, Canada (46.5 N -84.5 W elevation 188 m). Net primary productivity (NPP) was not directly measured, but is estimated based on above-ground tree growth and litterfall. For the different aged stands, above-ground tree growth was estimated at 262 g/m2/yr (0-20 years), 289 g/m2/yr (20-30 years), and 93 g/m2/yr (30-65 years). Annual tree litter production for the 30-year-old stand averaged 372.9 g/m2/yr over the course of 3 years. Understory litterfall production for the 30-year-old stand in one year was 33.1 g/m2/yr. Revision Notes: The NPP and climate data files for Mississagi have been revised to correct previously reported temporal coverage and litterfall data. Please see the Data Set Revisions section of this document for detailed information.
ABSTRACT: This data set contains two files (.txt format) for study sites in the Mississagi River area of Ontario, Canada (46.35 N -83.38 W elevation 860 m). One file summarizes the results of a series of investigations on the nutrition of jack pine ecosystems, including stand characteristics, above-ground biomass, and where available, litterfall amount and nutrient content of vegetation, litterfall, and soil horizons. Field data were collected in three jack pine (Pinus banksiana) study plots between 1969 and 1973. The stands were 20, 30, and 65 years of age. The second file contains climate data recorded at two weather stations near the Mississagi sites. Precipitation data were obtained from Saulte Sainte Marie, Michigan, USA (46.5 N -84.4 W elevation 218 m) and temperature data were obtained from Saulte Sainte Marie, Ontario, Canada (46.5 N -84.5 W elevation 188 m). Net primary productivity (NPP) was not directly measured, but is estimated based on above-ground tree growth and litterfall. For the different aged stands, above-ground tree growth was estimated at 262 g/m2/yr (0-20 years), 289 g/m2/yr (20-30 years), and 93 g/m2/yr (30-65 years). Annual tree litter production for the 30-year-old stand averaged 372.9 g/m2/yr over the course of 3 years. Understory litterfall production for the 30-year-old stand in one year was 33.1 g/m2/yr. Revision Notes: The NPP and climate data files for Mississagi have been revised to correct previously reported temporal coverage and litterfall data. Please see the Data Set Revisions section of this document for detailed information.
This data set contains two files (.txt format). One file provides above- and below-ground biomass, soil, and nutrient data for a mature boreal ecosystem (subarctic Picea mariana/lichen woodland) near Schefferville, Canada (54.72 N, -67.70) for the 1974 growing season. The second data file contains climate data (precipitation amount and maximum/minimum temperature) from a weather station located 22 km northeast of the study site for the 1948-1990 period. The black spruce/lichen woodland is a vegetation type found in the transitional zone between boreal forest and tundra on well-drained, nutrient-poor podzolic soils. These spruce/lichen woodlands are generally not subject to attack by herbivory, but natural fires are common. The study forest was estimated to be 110 years old, based on annual tree ring data which showed the number of years since it was last burned. Biomass estimates were determined by harvesting trees, shrubs, and ground cover in the 0.2 ha study plot. To confirm the "typical" nature of the site, species composition and density were evaluated for the principal plot and compared to that of fifteen other plots. Organic and mineral soils were also extracted. The plant and soil samples were evaluated for nutrient and mineral content. Living tree, shrub, and lichen components contributed a total biomass of 2,636, 833, and 939 g/m2, respectively. NPP was estimated by the Terrestrial Ecosystem Model (TEM) to be about 340 g/m2/yr. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 2001.
This data set contains two files (.txt format). One file provides above- and below-ground biomass, soil, and nutrient data for a mature boreal ecosystem (subarctic Picea mariana/lichen woodland) near Schefferville, Canada (54.72 N, -67.70) for the 1974 growing season. The second data file contains climate data (precipitation amount and maximum/minimum temperature) from a weather station located 22 km northeast of the study site for the 1948-1990 period. The black spruce/lichen woodland is a vegetation type found in the transitional zone between boreal forest and tundra on well-drained, nutrient-poor podzolic soils. These spruce/lichen woodlands are generally not subject to attack by herbivory, but natural fires are common. The study forest was estimated to be 110 years old, based on annual tree ring data which showed the number of years since it was last burned. Biomass estimates were determined by harvesting trees, shrubs, and ground cover in the 0.2 ha study plot. To confirm the "typical" nature of the site, species composition and density were evaluated for the principal plot and compared to that of fifteen other plots. Organic and mineral soils were also extracted. The plant and soil samples were evaluated for nutrient and mineral content. Living tree, shrub, and lichen components contributed a total biomass of 2,636, 833, and 939 g/m2, respectively. NPP was estimated by the Terrestrial Ecosystem Model (TEM) to be about 340 g/m2/yr. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 2001.
ABSTRACT: This data set contains two files (.txt format). One file provides above- and below-ground biomass, soil, and nutrient data for a mature boreal ecosystem (subarctic Picea mariana/lichen woodland) near Schefferville, Canada (54.72 N, -67.70) for the 1974 growing season. The second data file contains climate data (precipitation amount and maximum/minimum temperature) from a weather station located 22 km northeast of the study site for the 1948-1990 period. The black spruce/lichen woodland is a vegetation type found in the transitional zone between boreal forest and tundra on well-drained, nutrient-poor podzolic soils. These spruce/lichen woodlands are generally not subject to attack by herbivory, but natural fires are common. The study forest was estimated to be 110 years old, based on annual tree ring data which showed the number of years since it was last burned. Biomass estimates were determined by harvesting trees, shrubs, and ground cover in the 0.2 ha study plot. To confirm the "typical" nature of the site, species composition and density were evaluated for the principal plot and compared to that of fifteen other plots. Organic and mineral soils were also extracted. The plant and soil samples were evaluated for nutrient and mineral content. Living tree, shrub, and lichen components contributed a total biomass of 2,636, 833, and 939 g/m2, respectively. NPP was estimated by the Terrestrial Ecosystem Model (TEM) to be about 340 g/m2/yr. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 2001.
This data set contains two files (comma-separated-value format). One file provides components of net primary productivity, standing biomass, age and stand structure, and litterfall data for 11 stands of Scots pine (Pinus sylvestris) in the Tomsk Region of Russia (approx. 58 N 83 E). The second file contains data for the same types of variables for three stands of Scots pine in the Irkutsk Region of Siberia (approx. 53 N 103 E). Field measurements were made in 0.3-0.4 ha forest plots between 1968 and 1974. The forest plots range in age from 25 to 122 years old. Tree biomass was determined from volume and density measurements and selective harvest. Understory and ground cover was harvested in 0.25m2 plots. Root mass has determined from harvested trees and soil monoliths. Wood increment was measured from annual rings. Root production was based on species-specific turnover rates. Leaf litterfall was measured in 0.5-1.0 m2 traps, and branch litterfall was estimated from 4.0 m2 plots. Revision Notes: The NPP data file has been split into two files, one for the Tomask forests and one for the Irkutsk forests. The data files have been revised to rearrange columns, add a total ANPP column, and correct previously reported data, where needed. Please see the Data Set Revisions section of this document for detailed information. The Net Primary Productivity (NPP) data collection contains field measurements of biomass, estimated NPP, and climate data for terrestrial grassland, tropical forest, temperate forest, boreal forest, and tundra sites worldwide. Data were compiled from the published literature for intensively studied and well-documented individual field sites and from a number of previously compiled multi-site, multi-biome data sets of georeferenced NPP estimates. The principal compilation effort (Olson et al., 2001) was sponsored by the NASA Terrestrial Ecology Program. For more information, please visit the NPP web site at http://daac.ornl.gov/NPP/npp_home.html.
This data set contains two files (comma-separated-value format). One file provides components of net primary productivity, standing biomass, age and stand structure, and litterfall data for 11 stands of Scots pine (Pinus sylvestris) in the Tomsk Region of Russia (approx. 58 N 83 E). The second file contains data for the same types of variables for three stands of Scots pine in the Irkutsk Region of Siberia (approx. 53 N 103 E). Field measurements were made in 0.3-0.4 ha forest plots between 1968 and 1974. The forest plots range in age from 25 to 122 years old. Tree biomass was determined from volume and density measurements and selective harvest. Understory and ground cover was harvested in 0.25m2 plots. Root mass has determined from harvested trees and soil monoliths. Wood increment was measured from annual rings. Root production was based on species-specific turnover rates. Leaf litterfall was measured in 0.5-1.0 m2 traps, and branch litterfall was estimated from 4.0 m2 plots. Revision Notes: The NPP data file has been split into two files, one for the Tomask forests and one for the Irkutsk forests. The data files have been revised to rearrange columns, add a total ANPP column, and correct previously reported data, where needed. Please see the Data Set Revisions section of this document for detailed information. The Net Primary Productivity (NPP) data collection contains field measurements of biomass, estimated NPP, and climate data for terrestrial grassland, tropical forest, temperate forest, boreal forest, and tundra sites worldwide. Data were compiled from the published literature for intensively studied and well-documented individual field sites and from a number of previously compiled multi-site, multi-biome data sets of georeferenced NPP estimates. The principal compilation effort (Olson et al., 2001) was sponsored by the NASA Terrestrial Ecology Program. For more information, please visit the NPP web site at http://daac.ornl.gov/NPP/npp_home.html.
ABSTRACT: This data set contains two ASCII files (.txt format). One file provides ground-based biophysical measurements and above-ground net primary productivity (ANPP) estimates for 31 black spruce (Picea mariana) and 30 quaking aspen (Populus tremuloides) stands in Superior National Forest (SNF) in northeastern Minnesota, U.S.A. (-92 W 48 N). The measurements were obtained during a 1983-1984 intensive field campaign. Non-destructive measurements were made in over 100 forest plots covering a 50 x 50 km area. Sacrificed trees for biomass and annual increment measurements were taken outside the plots. The second file provides climate data from nearby weather stations for the period 1976-1986.The data set provides stand structural measurements (diameter at breast height, tree height, crown depth, and stem density), above-ground biomass, leaf area index, bark area index, and ANPP estimates. ANPP data are based on a combination of allometric relationships and annual tree-ring (radial) increments for the 5-year period 1979-1983.In the spruce stands, above-ground biomass ranged from 700-15,100 g/m2, LAI varied between 0.5-4.3, and ANPP ranged from 39-572 g/m2/yr. In comparison, above-ground biomass among aspen stands ranged from 600-22,000 g/m2, LAI varied between 1.3-4.0, and ANPP ranged from 213-1,199 g/m2/yr.The purpose of the SNF campaign was to investigate the ability of remote sensing to provide estimates of ecosystem biophysical properties. In addition to the results presented herein, satellite, aircraft, and helicopter observations and other ground measurements for the study sites are available from the ORNL DAAC Superior National Forest (SNF) Project web site [http://daac.ornl.gov/SNF/snf.shtml].
ABSTRACT: This data set contains two ASCII files (.txt format). One file provides ground-based biophysical measurements and above-ground net primary productivity (ANPP) estimates for 31 black spruce (Picea mariana) and 30 quaking aspen (Populus tremuloides) stands in Superior National Forest (SNF) in northeastern Minnesota, U.S.A. (-92 W 48 N). The measurements were obtained during a 1983-1984 intensive field campaign. Non-destructive measurements were made in over 100 forest plots covering a 50 x 50 km area. Sacrificed trees for biomass and annual increment measurements were taken outside the plots. The second file provides climate data from nearby weather stations for the period 1976-1986.The data set provides stand structural measurements (diameter at breast height, tree height, crown depth, and stem density), above-ground biomass, leaf area index, bark area index, and ANPP estimates. ANPP data are based on a combination of allometric relationships and annual tree-ring (radial) increments for the 5-year period 1979-1983.In the spruce stands, above-ground biomass ranged from 700-15,100 g/m2, LAI varied between 0.5-4.3, and ANPP ranged from 39-572 g/m2/yr. In comparison, above-ground biomass among aspen stands ranged from 600-22,000 g/m2, LAI varied between 1.3-4.0, and ANPP ranged from 213-1,199 g/m2/yr.The purpose of the SNF campaign was to investigate the ability of remote sensing to provide estimates of ecosystem biophysical properties. In addition to the results presented herein, satellite, aircraft, and helicopter observations and other ground measurements for the study sites are available from the ORNL DAAC Superior National Forest (SNF) Project web site [http://daac.ornl.gov/SNF/snf.shtml].
ABSTRACT: This data set contains two ASCII files (.txt format). One file provides ground-based biophysical measurements and above-ground net primary productivity (ANPP) estimates for 31 black spruce (Picea mariana) and 30 quaking aspen (Populus tremuloides) stands in Superior National Forest (SNF) in northeastern Minnesota, U.S.A. (-92 W 48 N). The measurements were obtained during a 1983-1984 intensive field campaign. Non-destructive measurements were made in over 100 forest plots covering a 50 x 50 km area. Sacrificed trees for biomass and annual increment measurements were taken outside the plots. The second file provides climate data from nearby weather stations for the period 1976-1986.The data set provides stand structural measurements (diameter at breast height, tree height, crown depth, and stem density), above-ground biomass, leaf area index, bark area index, and ANPP estimates. ANPP data are based on a combination of allometric relationships and annual tree-ring (radial) increments for the 5-year period 1979-1983.In the spruce stands, above-ground biomass ranged from 700-15,100 g/m2, LAI varied between 0.5-4.3, and ANPP ranged from 39-572 g/m2/yr. In comparison, above-ground biomass among aspen stands ranged from 600-22,000 g/m2, LAI varied between 1.3-4.0, and ANPP ranged from 213-1,199 g/m2/yr.The purpose of the SNF campaign was to investigate the ability of remote sensing to provide estimates of ecosystem biophysical properties. In addition to the results presented herein, satellite, aircraft, and helicopter observations and other ground measurements for the study sites are available from the ORNL DAAC Superior National Forest (SNF) Project web site [http://daac.ornl.gov/SNF/snf.shtml].
ABSTRACT: Net primary productivity (NPP) of agricultural regions was estimated from crop harvested yield, as recorded in national agricultural statistics. The magnitudes and inter-annual variations in NPP of croplands in the US Mid-West were estimated using crop area and yield data from the US National Agricultural Statistics Service (NASS). Total NPP, including estimates of both above and below-ground components, was calculated.
ABSTRACT: Net primary productivity (NPP) of agricultural regions was estimated from crop harvested yield, as recorded in national agricultural statistics. The magnitudes and inter-annual variations in NPP of croplands in the US Mid-West were estimated using crop area and yield data from the US National Agricultural Statistics Service (NASS). Total NPP, including estimates of both above and below-ground components, was calculated.
ABSTRACT: Net primary productivity (NPP) of agricultural regions was estimated from crop harvested yield, as recorded in national agricultural statistics. The magnitudes and inter-annual variations in NPP of croplands in the US Mid-West were estimated using crop area and yield data from the US National Agricultural Statistics Service (NASS). Total NPP, including estimates of both above and below-ground components, was calculated.
ABSTRACT: Monthly biomass dynamics data (NPP) for the Badkhyz grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Badkhyz grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Badkhyz grassland site
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: Monthly biomass dynamics data (NPP) for the Canas grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Canas grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Canas grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the CPER Pawnee grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the CPER Pawnee grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the CPER Pawnee grassland site
ABSTRACT: Above and below ground productivity of a native C3 grassland and an introduced C4 grassland were studied from 1973-1974 near Charleville in Southern Queensland, northeast Australia.
ABSTRACT: Above and below ground productivity of a native C3 grassland and an introduced C4 grassland were studied from 1973-1974 near Charleville in Southern Queensland, northeast Australia.
ABSTRACT: Above and below ground productivity of a native C3 grassland and an introduced C4 grassland were studied from 1973-1974 near Charleville in Southern Queensland, northeast Australia.
ABSTRACT: In many grasslands, aboveground net primary productivity (ANPP) is commonly estimated by measuring peak aboveground biomass. Estimates of belowground net primary productivity (BNPP), and consequently, total net primary productivity (NPP), are more difficult. We addressed one of the three main objectives of the Global Primary Productivity Data Initiative for grassland systems - to develop simple models or algorithms to estimate missing components of total system NPP.
ABSTRACT: In many grasslands, aboveground net primary productivity (ANPP) is commonly estimated by measuring peak aboveground biomass. Estimates of belowground net primary productivity (BNPP), and consequently, total net primary productivity (NPP), are more difficult. We addressed one of the three main objectives of the Global Primary Productivity Data Initiative for grassland systems - to develop simple models or algorithms to estimate missing components of total system NPP.
ABSTRACT: In many grasslands, aboveground net primary productivity (ANPP) is commonly estimated by measuring peak aboveground biomass. Estimates of belowground net primary productivity (BNPP), and consequently, total net primary productivity (NPP), are more difficult. We addressed one of the three main objectives of the Global Primary Productivity Data Initiative for grassland systems - to develop simple models or algorithms to estimate missing components of total system NPP.
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: Monthly biomass dynamics data (NPP) for the Dzhanybek grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Dzhanybek grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Dzhanybek grassland site
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: Monthly biomass dynamics data (NPP) for the Khomutov grassland site in the Ukraine
ABSTRACT: Monthly biomass dynamics data (NPP) for the Khomutov grassland site in the Ukraine
ABSTRACT: Monthly biomass dynamics data (NPP) for the Khomutov grassland site in the Ukraine
ABSTRACT: Monthly biomass dynamics data (NPP) for the Klong Hoi Khong grassland site in Thailand
ABSTRACT: Monthly biomass dynamics data (NPP) for the Klong Hoi Khong grassland site in Thailand
ABSTRACT: Monthly biomass dynamics data (NPP) for the Klong Hoi Khong grassland site in Thailand
ABSTRACT: Monthly biomass dynamics data (NPP) for the Konza Prairie grassland site in the USA
ABSTRACT: Monthly biomass dynamics data (NPP) for the Konza Prairie grassland site in the USA
ABSTRACT: Monthly biomass dynamics data (NPP) for the Konza Prairie grassland site in the USA
ABSTRACT: Monthly biomass dynamics data (NPP) for the Kursk grassland site in Russia
ABSTRACT: Monthly biomass dynamics data (NPP) for the Kursk grassland site in Russia
ABSTRACT: Monthly biomass dynamics data (NPP) for the Kursk grassland site in Russia
ABSTRACT: Monthly biomass dynamics data (NPP) for the Kurukshetra grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Kurukshetra grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Kurukshetra grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Lamto grassland site in the Cote Ivoire
ABSTRACT: Monthly biomass dynamics data (NPP) for the Lamto grassland site in the Cote Ivoire
ABSTRACT: Monthly biomass dynamics data (NPP) for the Lamto grassland site in the Cote Ivoire
ABSTRACT: Productivity of a mixed prairie grassland was monitored at the Matador Field Station from 1968 to 1972
ABSTRACT: Productivity of a mixed prairie grassland was monitored at the Matador Field Station from 1968 to 1972
ABSTRACT: Productivity of a mixed prairie grassland was monitored at the Matador Field Station from 1968 to 1972
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: Monthly biomass dynamics data (NPP) for the Montecillo grassland site in Mexico
ABSTRACT: Monthly biomass dynamics data (NPP) for the Montecillo grassland site in Mexico
ABSTRACT: Monthly biomass dynamics data (NPP) for the Montecillo grassland site in Mexico
ABSTRACT: Monthly biomass dynamics data (NPP) for the Nairobi grassland site in Kenya
ABSTRACT: Monthly biomass dynamics data (NPP) for the Nairobi grassland site in Kenya
ABSTRACT: Monthly biomass dynamics data (NPP) for the Nairobi grassland site in Kenya
ABSTRACT:  Field measurements of biomass and associated environmental data were compiled for multiple study sites in major grassland types worldwide.  Where sufficient biomass data were available, we compared NPP estimated by six different algorithms for 31 grassland sites to examine potential bias associated with the algorithms (Scurlock et al. 2002).  This data set includes monthly grassland biomass data and NPP estimates produced by the different algorithms.
ABSTRACT:  Field measurements of biomass and associated environmental data were compiled for multiple study sites in major grassland types worldwide.  Where sufficient biomass data were available, we compared NPP estimated by six different algorithms for 31 grassland sites to examine potential bias associated with the algorithms (Scurlock et al. 2002).  This data set includes monthly grassland biomass data and NPP estimates produced by the different algorithms.
ABSTRACT:  Field measurements of biomass and associated environmental data were compiled for multiple study sites in major grassland types worldwide.  Where sufficient biomass data were available, we compared NPP estimated by six different algorithms for 31 grassland sites to examine potential bias associated with the algorithms (Scurlock et al. 2002).  This data set includes monthly grassland biomass data and NPP estimates produced by the different algorithms.
ABSTRACT: Monthly biomass dynamics data (NPP) for the Nylsvley grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Nylsvley grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Nylsvley grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Olokemeji grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Olokemeji grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Olokemeji grassland site
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: Monthly biomass dynamics data (NPP) for the Otradnoe No. 1 grassland site in Russia
ABSTRACT: Monthly biomass dynamics data (NPP) for the Otradnoe No. 1 grassland site in Russia
ABSTRACT: Monthly biomass dynamics data (NPP) for the Otradnoe No. 1 grassland site in Russia
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP GRASSLAND: RIO MAYO, ARGENTINA, 1983-1989
ABSTRACT: NPP GRASSLAND: RIO MAYO, ARGENTINA, 1983-1989
ABSTRACT: NPP GRASSLAND: RIO MAYO, ARGENTINA, 1983-1989
ABSTRACT: Monthly biomass dynamics data (NPP) for the Shortandy grassland site in Kazakhstan
ABSTRACT: Monthly biomass dynamics data (NPP) for the Shortandy grassland site in Kazakhstan
ABSTRACT: Monthly biomass dynamics data (NPP) for the Shortandy grassland site in Kazakhstan
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: Monthly biomass dynamics data (NPP) for the Tullgarnsnaset grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Tullgarnsnaset grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Tullgarnsnaset grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Tumentsogt grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Tumentsogt grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Tumentsogt grassland site
ABSTRACT: Biomass dynamics and productivity of meadow steppe grasslands from 1981 to 1990 at Tumugi, Xiangan League, in easter Mongolia, China
ABSTRACT: Biomass dynamics and productivity of meadow steppe grasslands from 1981 to 1990 at Tumugi, Xiangan League, in easter Mongolia, China
ABSTRACT: Biomass dynamics and productivity of meadow steppe grasslands from 1981 to 1990 at Tumugi, Xiangan League, in easter Mongolia, China
ABSTRACT: Monthly biomass dynamics data (NPP) for the Tuva grassland site in Russia
ABSTRACT: Monthly biomass dynamics data (NPP) for the Tuva grassland site in Russia
ABSTRACT: Monthly biomass dynamics data (NPP) for the Tuva grassland site in Russia
ABSTRACT: Monthly biomass dynamics data (NPP) for the Vindhyan grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Vindhyan grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Vindhyan grassland site
ABSTRACT: Monthly biomass dynamics data (NPP) for the Xilingol grassland site in China
ABSTRACT: Monthly biomass dynamics data (NPP) for the Xilingol grassland site in China
ABSTRACT: Monthly biomass dynamics data (NPP) for the Xilingol grassland site in China
This data set provides four data files containing net primary productivity (NPP) data, edaphic characteristics, average climatic conditions, and basic descriptive and quantitative information on vegetation for 117 globally-distributed terrestrial forest sites. The data set was derived from the IBP (International Biological Programme) Woodlands Data Set of DeAngelis et al. (1981). The data were collected from the mid 1950s to the early 1970s and were compiled into an electronic data set at the Oak Ridge National Laboratory to facilitate comparisons involving the diverse woodland ecosystems. One data file provides a complete synthesis of NPP, vegetation, edaphic, and climate data and data-source references for each of the 117 sites as published in DeAngelis et al. (1981) for a total of 5,887 records. The second file provides site location, biome, and selected forest productivity and soils data for the 117 sites. The third file provides summary climate data (temperature, precipitation, radiation, growing season length) for each site, and the fourth file provides forest type, investigator(s), and years of the study for each site. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally archived in 1997 (DeAngelis, et al, 1997.)
This data set provides four data files containing net primary productivity (NPP) data, edaphic characteristics, average climatic conditions, and basic descriptive and quantitative information on vegetation for 117 globally-distributed terrestrial forest sites. The data set was derived from the IBP (International Biological Programme) Woodlands Data Set of DeAngelis et al. (1981). The data were collected from the mid 1950s to the early 1970s and were compiled into an electronic data set at the Oak Ridge National Laboratory to facilitate comparisons involving the diverse woodland ecosystems. One data file provides a complete synthesis of NPP, vegetation, edaphic, and climate data and data-source references for each of the 117 sites as published in DeAngelis et al. (1981) for a total of 5,887 records. The second file provides site location, biome, and selected forest productivity and soils data for the 117 sites. The third file provides summary climate data (temperature, precipitation, radiation, growing season length) for each site, and the fourth file provides forest type, investigator(s), and years of the study for each site. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally archived in 1997 (DeAngelis, et al, 1997.)
ABSTRACT: This data set provides four data files containing net primary productivity (NPP) data, edaphic characteristics, average climatic conditions, and basic descriptive and quantitative information on vegetation for 117 globally-distributed terrestrial forest sites. The data set was derived from the IBP (International Biological Programme) Woodlands Data Set of DeAngelis et al. (1981). The data were collected from the mid 1950s to the early 1970s and were compiled into an electronic data set at the Oak Ridge National Laboratory to facilitate comparisons involving the diverse woodland ecosystems. One data file provides a complete synthesis of NPP, vegetation, edaphic, and climate data and data-source references for each of the 117 sites as published in DeAngelis et al. (1981) for a total of 5,887 records. The second file provides site location, biome, and selected forest productivity and soils data for the 117 sites. The third file provides summary climate data (temperature, precipitation, radiation, growing season length) for each site, and the fourth file provides forest type, investigator(s), and years of the study for each site. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally archived in 1997 (DeAngelis, et al, 1997.)
This data set contains three files. The first file provides net primary productivity (NPP) estimates, vegetation characteristics, and summary climate data for 720 globally-distributed terrestrial sites. Each site is geographically referenced (latitude/longitude) and classified according to biome (i.e., cropland, desert, forest, grassland, Mediterranean, pasture, plantation, savanna, tundra, and wetlands), where known. The data were extracted and synthesized from scientific literature dating from 1869 to 1982. The majority of references were published in the 1960s and 1970s. The second file provides a summary of climate, vegetation type, species, and type for the 720 records. The third file provides the bibliography of 858 original-source references of data on NPP from Esser et al. (1997). Literature that is not directly cross-referenced to the NPP data set records is marked with an asterisk (*). Of the 720 unique NPP records, about two-thirds have above-ground net primary production (ANPP) estimates that range between 1 and 8,530 g/m2/year dry matter, one-fourth of the sites have estimates for below-ground NPP that range between 0 and 5,828 g/m2/year, and more than half of the sites have total NPP estimates that range from 3 to 9,320 g/m2/year dry matter. The high-range estimates are lower when doubtful values, wetlands estimates, and estimates for crops/pastures and other managed systems are excluded from calculations. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1998.
This data set contains three files. The first file provides net primary productivity (NPP) estimates, vegetation characteristics, and summary climate data for 720 globally-distributed terrestrial sites. Each site is geographically referenced (latitude/longitude) and classified according to biome (i.e., cropland, desert, forest, grassland, Mediterranean, pasture, plantation, savanna, tundra, and wetlands), where known. The data were extracted and synthesized from scientific literature dating from 1869 to 1982. The majority of references were published in the 1960s and 1970s. The second file provides a summary of climate, vegetation type, species, and type for the 720 records. The third file provides the bibliography of 858 original-source references of data on NPP from Esser et al. (1997). Literature that is not directly cross-referenced to the NPP data set records is marked with an asterisk (*). Of the 720 unique NPP records, about two-thirds have above-ground net primary production (ANPP) estimates that range between 1 and 8,530 g/m2/year dry matter, one-fourth of the sites have estimates for below-ground NPP that range between 0 and 5,828 g/m2/year, and more than half of the sites have total NPP estimates that range from 3 to 9,320 g/m2/year dry matter. The high-range estimates are lower when doubtful values, wetlands estimates, and estimates for crops/pastures and other managed systems are excluded from calculations. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1998.
ABSTRACT: This data set contains three files. The first file provides net primary productivity (NPP) estimates, vegetation characteristics, and summary climate data for 720 globally-distributed terrestrial sites. Each site is geographically referenced (latitude/longitude) and classified according to biome (i.e., cropland, desert, forest, grassland, Mediterranean, pasture, plantation, savanna, tundra, and wetlands), where known. The data were extracted and synthesized from scientific literature dating from 1869 to 1982. The majority of references were published in the 1960s and 1970s. The second file provides a summary of climate, vegetation type, species, and type for the 720 records. The third file provides the bibliography of 858 original-source references of data on NPP from Esser et al. (1997). Literature that is not directly cross-referenced to the NPP data set records is marked with an asterisk (*). Of the 720 unique NPP records, about two-thirds have above-ground net primary production (ANPP) estimates that range between 1 and 8,530 g/m2/year dry matter, one-fourth of the sites have estimates for below-ground NPP that range between 0 and 5,828 g/m2/year, and more than half of the sites have total NPP estimates that range from 3 to 9,320 g/m2/year dry matter. The high-range estimates are lower when doubtful values, wetlands estimates, and estimates for crops/pastures and other managed systems are excluded from calculations. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1998.
ABSTRACT: Under the auspices of the GPPDI, NPP estimates were compiled for 2,523 sites and 5,164 half-degree grid cells, by investigators based at the Environmental Sciences Division, Oak Ridge National Laboratory (ORNL), Tennessee, USA and the Department of Geography, University of Maryland, USA.  The GPPDI database includes NPP measurements collected over a long time period by many investigators using a variety of methods.
ABSTRACT: Under the auspices of the GPPDI, NPP estimates were compiled for 2,523 sites and 5,164 half-degree grid cells, by investigators based at the Environmental Sciences Division, Oak Ridge National Laboratory (ORNL), Tennessee, USA and the Department of Geography, University of Maryland, USA.  The GPPDI database includes NPP measurements collected over a long time period by many investigators using a variety of methods.
ABSTRACT: Under the auspices of the GPPDI, NPP estimates were compiled for 2,523 sites and 5,164 half-degree grid cells, by investigators based at the Environmental Sciences Division, Oak Ridge National Laboratory (ORNL), Tennessee, USA and the Department of Geography, University of Maryland, USA.  The GPPDI database includes NPP measurements collected over a long time period by many investigators using a variety of methods.
This data set contains one data file (.csv format) that provides net primary productivity (NPP) estimates for 34 grasslands, 14 tropical forests, and 5 boreal forest sites distributed worldwide. The NPP data were compiled from published literature. In addition to above- and below-ground NPP, and total NPP estimates, the file includes site name and location, biome type, mean annual precipitation, and mean annual temperature, where available. Aboveground net primary production (ANPP),  ranged from 35 to 2,320 g/m2/year, belowground net primary production (BNPP) ranged from 20 to 1,832 g/m2/year, and total net primary production (TNPP) ranged from 182 to 3,538 g/m2/year. Revision Notes: This data file has been revised to add a negative sign to south latitude and west longitude decimal degree coordinates,  and the compass direction (N, S, E, W) for coordinates has been removed. NPP data for Vindhyan, India; Atherton, Australia; John Crow Ridge, Jamaica; and La Selva, Costa Rica, have been revised to correct previously reported values. Additional data references for Kuusamo, Finland, and La Selva, Costa Rica, have been added. Please see the Data Set Revisions section of this document for detailed information.
This data set contains one data file (.csv format) that provides net primary productivity (NPP) estimates for 34 grasslands, 14 tropical forests, and 5 boreal forest sites distributed worldwide. The NPP data were compiled from published literature. In addition to above- and below-ground NPP, and total NPP estimates, the file includes site name and location, biome type, mean annual precipitation, and mean annual temperature, where available. Aboveground net primary production (ANPP),  ranged from 35 to 2,320 g/m2/year, belowground net primary production (BNPP) ranged from 20 to 1,832 g/m2/year, and total net primary production (TNPP) ranged from 182 to 3,538 g/m2/year. Revision Notes: This data file has been revised to add a negative sign to south latitude and west longitude decimal degree coordinates,  and the compass direction (N, S, E, W) for coordinates has been removed. NPP data for Vindhyan, India; Atherton, Australia; John Crow Ridge, Jamaica; and La Selva, Costa Rica, have been revised to correct previously reported values. Additional data references for Kuusamo, Finland, and La Selva, Costa Rica, have been added. Please see the Data Set Revisions section of this document for detailed information.
ABSTRACT: This data set contains one data file (.csv format) that provides net primary productivity (NPP) estimates for 34 grasslands, 14 tropical forests, and 5 boreal forest sites distributed worldwide. The NPP data were compiled from published literature. In addition to above- and below-ground NPP, and total NPP estimates, the file includes site name and location, biome type, mean annual precipitation, and mean annual temperature, where available. Aboveground net primary production (ANPP),  ranged from 35 to 2,320 g/m2/year, belowground net primary production (BNPP) ranged from 20 to 1,832 g/m2/year, and total net primary production (TNPP) ranged from 182 to 3,538 g/m2/year. Revision Notes: This data file has been revised to add a negative sign to south latitude and west longitude decimal degree coordinates,  and the compass direction (N, S, E, W) for coordinates has been removed. NPP data for Vindhyan, India; Atherton, Australia; John Crow Ridge, Jamaica; and La Selva, Costa Rica, have been revised to correct previously reported values. Additional data references for Kuusamo, Finland, and La Selva, Costa Rica, have been added. Please see the Data Set Revisions section of this document for detailed information.
ABSTRACT: Most field data for NPP are for relatively small field sites that are effectively points when considered at the 0.5 x 0.5 degree scale commonly used in global biogeochemical models. Thus, direct comparison between field data and coarse resolution model outputs can be misleading. We discuss the potential problems in such data-model inter-comparisons and identify issues that must be considered during the aggregation of field-scale data to coarser spatial resolutions, usually in the form of grid cells.
ABSTRACT: Most field data for NPP are for relatively small field sites that are effectively points when considered at the 0.5 x 0.5 degree scale commonly used in global biogeochemical models. Thus, direct comparison between field data and coarse resolution model outputs can be misleading. We discuss the potential problems in such data-model inter-comparisons and identify issues that must be considered during the aggregation of field-scale data to coarser spatial resolutions, usually in the form of grid cells.
ABSTRACT: Most field data for NPP are for relatively small field sites that are effectively points when considered at the 0.5 x 0.5 degree scale commonly used in global biogeochemical models. Thus, direct comparison between field data and coarse resolution model outputs can be misleading. We discuss the potential problems in such data-model inter-comparisons and identify issues that must be considered during the aggregation of field-scale data to coarser spatial resolutions, usually in the form of grid cells.
ABSTRACT: The Ecosystem Model-Data Intercomparison (EMDI) provides the first opportunity for a wide range of global carbon cycle models to be compared with measured net primary productivity (NPP). The goals of EMDI are to compare model estimates of terrestrial carbon fluxes (NPP) to estimates from ground-based measurements and to improve understanding of environmental controls of carbon allocation.
ABSTRACT: The Ecosystem Model-Data Intercomparison (EMDI) provides the first opportunity for a wide range of global carbon cycle models to be compared with measured net primary productivity (NPP). The goals of EMDI are to compare model estimates of terrestrial carbon fluxes (NPP) to estimates from ground-based measurements and to improve understanding of environmental controls of carbon allocation.
ABSTRACT: The Ecosystem Model-Data Intercomparison (EMDI) provides the first opportunity for a wide range of global carbon cycle models to be compared with measured net primary productivity (NPP). The goals of EMDI are to compare model estimates of terrestrial carbon fluxes (NPP) to estimates from ground-based measurements and to improve understanding of environmental controls of carbon allocation.
There is one comma-separated (.csv) data file and one text (.txt) file (bibliographic information) with this data set. This data set provides above-ground net primary production (ANPP) and total net primary producitivity (NPP) [expressed in grams of carbon per square meter per year (gC/m2/year)], and the C fraction used to convert dry biomass weight to carbon content, for 127 unique study sites in northern Eurasia. The sites are classified by ecozone (i.e., tundra, forest-tundra, taiga, mixed forest, broadleaf forest, small-leaved secondary forests, forest bogs, meadows, steppe, semi-desert, and polar desert) and plant community (phytocoenosis). Each study location is georeferenced (latitude/longitude) with elevation and zonal/interzonal information. References to original author, year of publication, and table/record in Bazilevich (1993) are also included. The data set also provides a bibliography of 274 original-source references (in Russian) to accompany the 127 data records on NPP from Bazilevich (1993). The data are a subset of data adapted from Bazilevich, N.I. 1993. Biological Productivity of Ecosystems of Northern Eurasia. Nauka Publishers, Moscow. 293 pp. (in Russian). The data set originated from field measurements of primary productivity collected between 1940 and 1988 for most of the terrestrial vegetation types in northern Eurasia.  The NPP data collection contains field measurements of biomass, estimated NPP, and climate data for terrestrial grassland, tropical forest, temperate forest, boreal forest, and tundra sites worldwide. Data were compiled from the published literature for intensively studied and well-documented individual field sites and from a number of previously compiled multi-site, multi-biome data sets of georeferenced NPP estimates. The principal compilation effort (Olson et al., 2001) was sponsored by the NASA Terrestrial Ecology Program. For more information, please visit the NPP web site at http://daac.ornl.gov/NPP/npp_home.html.
There is one comma-separated (.csv) data file and one text (.txt) file (bibliographic information) with this data set. This data set provides above-ground net primary production (ANPP) and total net primary producitivity (NPP) [expressed in grams of carbon per square meter per year (gC/m2/year)], and the C fraction used to convert dry biomass weight to carbon content, for 127 unique study sites in northern Eurasia. The sites are classified by ecozone (i.e., tundra, forest-tundra, taiga, mixed forest, broadleaf forest, small-leaved secondary forests, forest bogs, meadows, steppe, semi-desert, and polar desert) and plant community (phytocoenosis). Each study location is georeferenced (latitude/longitude) with elevation and zonal/interzonal information. References to original author, year of publication, and table/record in Bazilevich (1993) are also included. The data set also provides a bibliography of 274 original-source references (in Russian) to accompany the 127 data records on NPP from Bazilevich (1993). The data are a subset of data adapted from Bazilevich, N.I. 1993. Biological Productivity of Ecosystems of Northern Eurasia. Nauka Publishers, Moscow. 293 pp. (in Russian). The data set originated from field measurements of primary productivity collected between 1940 and 1988 for most of the terrestrial vegetation types in northern Eurasia.  The NPP data collection contains field measurements of biomass, estimated NPP, and climate data for terrestrial grassland, tropical forest, temperate forest, boreal forest, and tundra sites worldwide. Data were compiled from the published literature for intensively studied and well-documented individual field sites and from a number of previously compiled multi-site, multi-biome data sets of georeferenced NPP estimates. The principal compilation effort (Olson et al., 2001) was sponsored by the NASA Terrestrial Ecology Program. For more information, please visit the NPP web site at http://daac.ornl.gov/NPP/npp_home.html.
ABSTRACT: This data set contains two ASCII files (tab-delimited .txt format) that provide annual mean above-ground wood increments for temperate forests in 1,956 counties of the 28 eastern U.S. states. One file contains hardwood forest data and the other contains softwood forest data. The files provide estimates of above-ground biomass per county; county-level annual above-ground biomass growth, removals (harvest), and mortality of woody biomass per hectare; county-level total annual above-ground woody biomass production per hectare; forest area per county; mortality (%) in forests within each county; and total annual production and mortality per county. The data are derived from forest inventory data from 1960s to 1990s that were collected from an extensive network of permanent inventory plots as part of the U.S. Department of Agriculture Forest Service Forest Inventory and Analysis (FIA).Based on the analysis of the above-ground production data (Brown and Schroeder, 1999), above-ground production of woody biomass (APWB) for hardwood forests ranged from 0.6 to 28 Mg/ha/yr and averaged 5.2 Mg/ha/yr. For softwood forests, APWB ranged from 0.2 to 31 Mg/ha/yr and averaged 4.9 Mg/ha/yr. APWB was generally highest in southeastern and southern counties, mostly along an arc from southern Virginia to Louisiana and eastern Texas. No clear spatial pattern of mortality of woody biomass (MWB) existed, except for a distinct area of high mortality in South Carolina as a result of Hurricane Hugo in 1989. For hardwood forests, MWB ranged from 0 to 15 Mg/ha/yr and averaged 1.1 Mg/ha/yr. The average MWB for softwood forests was 0.6 Mg/ha/yr with a range of 0 to 10 Mg/ha/yr. The rate of above-ground MWB averaged <1%/yr for both hardwood and softwood forests.
ABSTRACT: This data set contains two ASCII files (tab-delimited .txt format) that provide annual mean above-ground wood increments for temperate forests in 1,956 counties of the 28 eastern U.S. states. One file contains hardwood forest data and the other contains softwood forest data. The files provide estimates of above-ground biomass per county; county-level annual above-ground biomass growth, removals (harvest), and mortality of woody biomass per hectare; county-level total annual above-ground woody biomass production per hectare; forest area per county; mortality (%) in forests within each county; and total annual production and mortality per county. The data are derived from forest inventory data from 1960s to 1990s that were collected from an extensive network of permanent inventory plots as part of the U.S. Department of Agriculture Forest Service Forest Inventory and Analysis (FIA).Based on the analysis of the above-ground production data (Brown and Schroeder, 1999), above-ground production of woody biomass (APWB) for hardwood forests ranged from 0.6 to 28 Mg/ha/yr and averaged 5.2 Mg/ha/yr. For softwood forests, APWB ranged from 0.2 to 31 Mg/ha/yr and averaged 4.9 Mg/ha/yr. APWB was generally highest in southeastern and southern counties, mostly along an arc from southern Virginia to Louisiana and eastern Texas. No clear spatial pattern of mortality of woody biomass (MWB) existed, except for a distinct area of high mortality in South Carolina as a result of Hurricane Hugo in 1989. For hardwood forests, MWB ranged from 0 to 15 Mg/ha/yr and averaged 1.1 Mg/ha/yr. The average MWB for softwood forests was 0.6 Mg/ha/yr with a range of 0 to 10 Mg/ha/yr. The rate of above-ground MWB averaged <1%/yr for both hardwood and softwood forests.
ABSTRACT: This data set contains two ASCII files (tab-delimited .txt format) that provide annual mean above-ground wood increments for temperate forests in 1,956 counties of the 28 eastern U.S. states. One file contains hardwood forest data and the other contains softwood forest data. The files provide estimates of above-ground biomass per county; county-level annual above-ground biomass growth, removals (harvest), and mortality of woody biomass per hectare; county-level total annual above-ground woody biomass production per hectare; forest area per county; mortality (%) in forests within each county; and total annual production and mortality per county. The data are derived from forest inventory data from 1960s to 1990s that were collected from an extensive network of permanent inventory plots as part of the U.S. Department of Agriculture Forest Service Forest Inventory and Analysis (FIA).Based on the analysis of the above-ground production data (Brown and Schroeder, 1999), above-ground production of woody biomass (APWB) for hardwood forests ranged from 0.6 to 28 Mg/ha/yr and averaged 5.2 Mg/ha/yr. For softwood forests, APWB ranged from 0.2 to 31 Mg/ha/yr and averaged 4.9 Mg/ha/yr. APWB was generally highest in southeastern and southern counties, mostly along an arc from southern Virginia to Louisiana and eastern Texas. No clear spatial pattern of mortality of woody biomass (MWB) existed, except for a distinct area of high mortality in South Carolina as a result of Hurricane Hugo in 1989. For hardwood forests, MWB ranged from 0 to 15 Mg/ha/yr and averaged 1.1 Mg/ha/yr. The average MWB for softwood forests was 0.6 Mg/ha/yr with a range of 0 to 10 Mg/ha/yr. The rate of above-ground MWB averaged <1%/yr for both hardwood and softwood forests.
This data set contains one data file (.csv format) that is known as the Terrestrial Ecosystem Model (TEM) data set. The data provide pool sizes and fluxes of carbon (C) and nitrogen (N) for 16 globally distributed field sites that represent a wide range of terrestrial biomes, tundra to tropical forest, but exclude wetlands. The net primary productivity (NPP) data were extracted from the literature. They were not previously widely available to the ecosystem modeling community in electronic form until this data set and additional NPP data sets were published by the ORNL DAAC. The data were used to calibrate the ecosystem process-based TEM. The TEM was developed by staff at the Ecosystem Center, Marine Biological Laboratory, Woods Hole, Massachusetts, USA, to estimate the spatial and temporal distribution of major carbon (C) and nitrogen (N) fluxes and pool sizes at continental to global scales (resolution: 0.5 degrees latitude x 0.5 degrees longitude). Eight of the TEM calibration sites are also included in the ORNL DAAC NPP data collection as individual site NPP data sets. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1999.
This data set contains one data file (.csv format) that is known as the Terrestrial Ecosystem Model (TEM) data set. The data provide pool sizes and fluxes of carbon (C) and nitrogen (N) for 16 globally distributed field sites that represent a wide range of terrestrial biomes, tundra to tropical forest, but exclude wetlands. The net primary productivity (NPP) data were extracted from the literature. They were not previously widely available to the ecosystem modeling community in electronic form until this data set and additional NPP data sets were published by the ORNL DAAC. The data were used to calibrate the ecosystem process-based TEM. The TEM was developed by staff at the Ecosystem Center, Marine Biological Laboratory, Woods Hole, Massachusetts, USA, to estimate the spatial and temporal distribution of major carbon (C) and nitrogen (N) fluxes and pool sizes at continental to global scales (resolution: 0.5 degrees latitude x 0.5 degrees longitude). Eight of the TEM calibration sites are also included in the ORNL DAAC NPP data collection as individual site NPP data sets. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1999.
ABSTRACT: This data set contains one data file (.csv format) that is known as the Terrestrial Ecosystem Model (TEM) data set. The data provide pool sizes and fluxes of carbon (C) and nitrogen (N) for 16 globally distributed field sites that represent a wide range of terrestrial biomes, tundra to tropical forest, but exclude wetlands. The net primary productivity (NPP) data were extracted from the literature. They were not previously widely available to the ecosystem modeling community in electronic form until this data set and additional NPP data sets were published by the ORNL DAAC. The data were used to calibrate the ecosystem process-based TEM. The TEM was developed by staff at the Ecosystem Center, Marine Biological Laboratory, Woods Hole, Massachusetts, USA, to estimate the spatial and temporal distribution of major carbon (C) and nitrogen (N) fluxes and pool sizes at continental to global scales (resolution: 0.5 degrees latitude x 0.5 degrees longitude). Eight of the TEM calibration sites are also included in the ORNL DAAC NPP data collection as individual site NPP data sets. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1999.
This data set contains one data file in comma-delimited (.csv format) that provides observations from Australia for use in parameterizing the Vegetation and Soil-carbon Transfer (VAST) Model (version 1.1). The observations include net primary productivity (NPP), biomass, litter mass, surface horizon soil carbon concentration (i.e., mass fraction) and bulk density, and soil carbon and bulk density measurements at various depths. The data consist of 33 estimates of above-ground NPP based on cut grass swards and visual assessment of growth, 150 measurements of litterfall (leaf and fine twig), 76 measurements of above-ground biomass (phytomass), 91 determinations of fine litter mass, 341 measurements of soil carbon concentration in surface layers (to 15 cm depth), and 50 determinations of soil bulk density (to 15 cm depth). All these data were derived from 174 original literature references describing study sites throughout Australia. VAST is a conceptual carbon (C) cycle model that depicts large scale dynamics of terrestrial C pools and the net exchange of C between the land surface and the atmosphere at a resolution of 0.05 degrees. The model consists of 10 C pools comprising two above-ground biomass pools, two litter pools, and three pools each of below-ground biomass and soil C. Below-ground pools are distributed among three soil layers (0-20, 20-50, and 50-100 cm). Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 2001.
This data set contains one data file in comma-delimited (.csv format) that provides observations from Australia for use in parameterizing the Vegetation and Soil-carbon Transfer (VAST) Model (version 1.1). The observations include net primary productivity (NPP), biomass, litter mass, surface horizon soil carbon concentration (i.e., mass fraction) and bulk density, and soil carbon and bulk density measurements at various depths. The data consist of 33 estimates of above-ground NPP based on cut grass swards and visual assessment of growth, 150 measurements of litterfall (leaf and fine twig), 76 measurements of above-ground biomass (phytomass), 91 determinations of fine litter mass, 341 measurements of soil carbon concentration in surface layers (to 15 cm depth), and 50 determinations of soil bulk density (to 15 cm depth). All these data were derived from 174 original literature references describing study sites throughout Australia. VAST is a conceptual carbon (C) cycle model that depicts large scale dynamics of terrestrial C pools and the net exchange of C between the land surface and the atmosphere at a resolution of 0.05 degrees. The model consists of 10 C pools comprising two above-ground biomass pools, two litter pools, and three pools each of below-ground biomass and soil C. Below-ground pools are distributed among three soil layers (0-20, 20-50, and 50-100 cm). Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 2001.
ABSTRACT: This data set contains one data file in comma-delimited (.csv format) that provides observations from Australia for use in parameterizing the Vegetation and Soil-carbon Transfer (VAST) Model (version 1.1). The observations include net primary productivity (NPP), biomass, litter mass, surface horizon soil carbon concentration (i.e., mass fraction) and bulk density, and soil carbon and bulk density measurements at various depths. The data consist of 33 estimates of above-ground NPP based on cut grass swards and visual assessment of growth, 150 measurements of litterfall (leaf and fine twig), 76 measurements of above-ground biomass (phytomass), 91 determinations of fine litter mass, 341 measurements of soil carbon concentration in surface layers (to 15 cm depth), and 50 determinations of soil bulk density (to 15 cm depth). All these data were derived from 174 original literature references describing study sites throughout Australia. VAST is a conceptual carbon (C) cycle model that depicts large scale dynamics of terrestrial C pools and the net exchange of C between the land surface and the atmosphere at a resolution of 0.05 degrees. The model consists of 10 C pools comprising two above-ground biomass pools, two litter pools, and three pools each of below-ground biomass and soil C. Below-ground pools are distributed among three soil layers (0-20, 20-50, and 50-100 cm). Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 2001.
ABSTRACT: This data set contains two ASCII files (.csv format). One file contains site characteristics, stand descriptors, and above-ground biomass and ANPP data for seven old-growth temperate forest stands and one young cove forest stand in the Great Smoky Mountains of Tennessee. The old-growth stands (> 200 years old) span several watersheds on the north slope of the mountains at elevations ranging from 720 to 1,140 m. The younger stand (48-63 years old, elevation 910 m) developed after agricultural abandonment.The second file contains monthly mean climate data averaged over four years (1947-1950) from four climate stations located along an elevational gradient (445-1,920 m) in Great Smoky Mountains National Park.DBH measurements were made at the beginning the study and biomass increment was measured from a subset of trees. ANPP was estimated using regional species-specific allometric relationships for tree mass. Biomass, volume, and annual input of coarse woody detritus are also reported.Live biomass in the old-growth stands (32,600-47,100 g/m2) is among the highest reported for temperate forests of eastern North America while ANPP is moderate (630-1,010 g/m2/yr). ANPP in the younger stand was higher (1,180-1,310 g/m2/yr). In comparison with forests worldwide, inputs of coarse woody debris is moderate.
ABSTRACT: This data set contains two ASCII files (.csv format). One file contains site characteristics, stand descriptors, and above-ground biomass and ANPP data for seven old-growth temperate forest stands and one young cove forest stand in the Great Smoky Mountains of Tennessee. The old-growth stands (> 200 years old) span several watersheds on the north slope of the mountains at elevations ranging from 720 to 1,140 m. The younger stand (48-63 years old, elevation 910 m) developed after agricultural abandonment.The second file contains monthly mean climate data averaged over four years (1947-1950) from four climate stations located along an elevational gradient (445-1,920 m) in Great Smoky Mountains National Park.DBH measurements were made at the beginning the study and biomass increment was measured from a subset of trees. ANPP was estimated using regional species-specific allometric relationships for tree mass. Biomass, volume, and annual input of coarse woody detritus are also reported.Live biomass in the old-growth stands (32,600-47,100 g/m2) is among the highest reported for temperate forests of eastern North America while ANPP is moderate (630-1,010 g/m2/yr). ANPP in the younger stand was higher (1,180-1,310 g/m2/yr). In comparison with forests worldwide, inputs of coarse woody debris is moderate.
ABSTRACT: This data set contains two ASCII files (.csv format). One file contains site characteristics, stand descriptors, and above-ground biomass and ANPP data for seven old-growth temperate forest stands and one young cove forest stand in the Great Smoky Mountains of Tennessee. The old-growth stands (> 200 years old) span several watersheds on the north slope of the mountains at elevations ranging from 720 to 1,140 m. The younger stand (48-63 years old, elevation 910 m) developed after agricultural abandonment.The second file contains monthly mean climate data averaged over four years (1947-1950) from four climate stations located along an elevational gradient (445-1,920 m) in Great Smoky Mountains National Park.DBH measurements were made at the beginning the study and biomass increment was measured from a subset of trees. ANPP was estimated using regional species-specific allometric relationships for tree mass. Biomass, volume, and annual input of coarse woody detritus are also reported.Live biomass in the old-growth stands (32,600-47,100 g/m2) is among the highest reported for temperate forests of eastern North America while ANPP is moderate (630-1,010 g/m2/yr). ANPP in the younger stand was higher (1,180-1,310 g/m2/yr). In comparison with forests worldwide, inputs of coarse woody debris is moderate.
ABSTRACT: Productivity of an old stand of coast redwoods in northern California was studied via tree remeasurement (1972-2001) and allometric relationships.  Measurements of tree circumference at 1.7 m above ground were made at the beginning and the end of the study.  Above-ground net primary production (ANPP) was estimated using a range of specific gravities and several allometric relationships for tree volume.  Trees lost to mortality over the study interval were included in the analysis. Reported data include site characteristics, redwood stand descriptors, and measured and calculated biomass and ANPP data.
ABSTRACT: Productivity of an old stand of coast redwoods in northern California was studied via tree remeasurement (1972-2001) and allometric relationships.  Measurements of tree circumference at 1.7 m above ground were made at the beginning and the end of the study.  Above-ground net primary production (ANPP) was estimated using a range of specific gravities and several allometric relationships for tree volume.  Trees lost to mortality over the study interval were included in the analysis. Reported data include site characteristics, redwood stand descriptors, and measured and calculated biomass and ANPP data.
ABSTRACT: Productivity of an old stand of coast redwoods in northern California was studied via tree remeasurement (1972-2001) and allometric relationships.  Measurements of tree circumference at 1.7 m above ground were made at the beginning and the end of the study.  Above-ground net primary production (ANPP) was estimated using a range of specific gravities and several allometric relationships for tree volume.  Trees lost to mortality over the study interval were included in the analysis. Reported data include site characteristics, redwood stand descriptors, and measured and calculated biomass and ANPP data.
ABSTRACT: Estimates of NPP and associated measurements from the OTTER transect made during the period 1989-1991
ABSTRACT: Estimates of NPP and associated measurements from the OTTER transect made during the period 1989-1991
ABSTRACT: Estimates of NPP and associated measurements from the OTTER transect made during the period 1989-1991
ABSTRACT: NPP TROPICAL FOREST: ATHERTON, AUSTRALIA, 1974-1985
ABSTRACT: NPP TROPICAL FOREST: ATHERTON, AUSTRALIA, 1974-1985
ABSTRACT: NPP TROPICAL FOREST: ATHERTON, AUSTRALIA, 1974-1985
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP TROPICAL FOREST: CHAMELA, MEXICO, 1982-1995
ABSTRACT: NPP TROPICAL FOREST: CHAMELA, MEXICO, 1982-1995
ABSTRACT: NPP TROPICAL FOREST: CHAMELA, MEXICO, 1982-1995
ABSTRACT: Productivity of late secondary tropical forest at Cinnamon Bay, St. John, USVI, from 1982 to the present
ABSTRACT: Productivity of late secondary tropical forest at Cinnamon Bay, St. John, USVI, from 1982 to the present
ABSTRACT: Productivity of late secondary tropical forest at Cinnamon Bay, St. John, USVI, from 1982 to the present
ABSTRACT: Currently available data on net primary production in tropical forests are extremely limited. Even the best estimates for this biome must be thought of as rough approximations within wide bounds. Nevertheless, this study has provided a basis for evaluating the quality and utility of the data generated by past studies and of the NPP estimates that have been reported in the literature for tropical forests.
ABSTRACT: Currently available data on net primary production in tropical forests are extremely limited. Even the best estimates for this biome must be thought of as rough approximations within wide bounds. Nevertheless, this study has provided a basis for evaluating the quality and utility of the data generated by past studies and of the NPP estimates that have been reported in the literature for tropical forests.
ABSTRACT: Currently available data on net primary production in tropical forests are extremely limited. Even the best estimates for this biome must be thought of as rough approximations within wide bounds. Nevertheless, this study has provided a basis for evaluating the quality and utility of the data generated by past studies and of the NPP estimates that have been reported in the literature for tropical forests.
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: Biomass, litterfall, and nutrient content of different vegetation components and soil for four lowland rain forest types on contrasting soils at Gunung Mulu National Park, Sarawak, Malaysia
ABSTRACT: Biomass, litterfall, and nutrient content of different vegetation components and soil for four lowland rain forest types on contrasting soils at Gunung Mulu National Park, Sarawak, Malaysia
ABSTRACT: Biomass, litterfall, and nutrient content of different vegetation components and soil for four lowland rain forest types on contrasting soils at Gunung Mulu National Park, Sarawak, Malaysia
ABSTRACT: Biomass and productivity for four subtypes of an upper montane tropical forest along John Crow Ridge in the Blue Ridge Mountains of Jamaica from 1974 to 1978
ABSTRACT: Biomass and productivity for four subtypes of an upper montane tropical forest along John Crow Ridge in the Blue Ridge Mountains of Jamaica from 1974 to 1978
ABSTRACT: Biomass and productivity for four subtypes of an upper montane tropical forest along John Crow Ridge in the Blue Ridge Mountains of Jamaica from 1974 to 1978
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: Productivity of lower montane tropical forest at various study sites within the Luquillo Experimental Forest, eastern Puerto Rico from 1963 to present
ABSTRACT: Productivity of lower montane tropical forest at various study sites within the Luquillo Experimental Forest, eastern Puerto Rico from 1963 to present
ABSTRACT: Productivity of lower montane tropical forest at various study sites within the Luquillo Experimental Forest, eastern Puerto Rico from 1963 to present
ABSTRACT: Biomass, litterfall, and nutrient content of above-ground vegetation and soil for a tropical seasonal evergreen forest at Magdalena Valley, Columbia, during an 18-month period in 1970 and 1971
ABSTRACT: Biomass, litterfall, and nutrient content of above-ground vegetation and soil for a tropical seasonal evergreen forest at Magdalena Valley, Columbia, during an 18-month period in 1970 and 1971
ABSTRACT: Biomass, litterfall, and nutrient content of above-ground vegetation and soil for a tropical seasonal evergreen forest at Magdalena Valley, Columbia, during an 18-month period in 1970 and 1971
ABSTRACT: NPP TROPICAL FOREST: MANAUS, BRAZIL, 1963-1990
ABSTRACT: NPP TROPICAL FOREST: MANAUS, BRAZIL, 1963-1990
ABSTRACT: NPP TROPICAL FOREST: MANAUS, BRAZIL, 1963-1990
ABSTRACT: Biomass and nutrient content of different vegetation components and soil for a lower montane secondary rain forest at Marafunga in the highlands of Papua New Guinea 1970-1971.
ABSTRACT: Biomass and nutrient content of different vegetation components and soil for a lower montane secondary rain forest at Marafunga in the highlands of Papua New Guinea 1970-1971.
ABSTRACT: Biomass and nutrient content of different vegetation components and soil for a lower montane secondary rain forest at Marafunga in the highlands of Papua New Guinea 1970-1971.
ABSTRACT: The objective of this study was to quantify net primary productivity as a function of rainfall in mesic to wet montane rainforests in Maui, Hawaii. The Maui Moisture Gradient is a sequence of 6 sites located on the island of Maui that range from 2200 mm to 5050 mm mean annual rainfall, while temperature and all other state factors (parent material, substrate age, organisms, and topography) that control NPP remain relatively constant. This data set contains annual estimates of net primary productivity made in 1996 and 1997.The data provided are estimates of the accumulation of biomass by plants for a given year, or net primary productivity (NPP). Estimates are given for aboveground and belowground productivity, and the sum as net primary productivity.
ABSTRACT: The objective of this study was to quantify net primary productivity as a function of rainfall in mesic to wet montane rainforests in Maui, Hawaii. The Maui Moisture Gradient is a sequence of 6 sites located on the island of Maui that range from 2200 mm to 5050 mm mean annual rainfall, while temperature and all other state factors (parent material, substrate age, organisms, and topography) that control NPP remain relatively constant. This data set contains annual estimates of net primary productivity made in 1996 and 1997.The data provided are estimates of the accumulation of biomass by plants for a given year, or net primary productivity (NPP). Estimates are given for aboveground and belowground productivity, and the sum as net primary productivity.
ABSTRACT: The objective of this study was to quantify net primary productivity as a function of rainfall in mesic to wet montane rainforests in Maui, Hawaii. The Maui Moisture Gradient is a sequence of 6 sites located on the island of Maui that range from 2200 mm to 5050 mm mean annual rainfall, while temperature and all other state factors (parent material, substrate age, organisms, and topography) that control NPP remain relatively constant. This data set contains annual estimates of net primary productivity made in 1996 and 1997.The data provided are estimates of the accumulation of biomass by plants for a given year, or net primary productivity (NPP). Estimates are given for aboveground and belowground productivity, and the sum as net primary productivity.
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: NPP, biomass dynamics, climate, soils
ABSTRACT: Productivity of tropical forest for a number of vegetation-soil associations at the San Carlos de Rio Negro study site under the auspices of an international UNESCO Man and the Biosphere (MAB) project
ABSTRACT: Productivity of tropical forest for a number of vegetation-soil associations at the San Carlos de Rio Negro study site under the auspices of an international UNESCO Man and the Biosphere (MAB) project
ABSTRACT: Productivity of tropical forest for a number of vegetation-soil associations at the San Carlos de Rio Negro study site under the auspices of an international UNESCO Man and the Biosphere (MAB) project
ABSTRACT: Biomass, litterfall,a nd nutrient content of above- and below-ground vegetation and soil for a tropical montane forest at San Eusebio, Venezuela.
ABSTRACT: Biomass, litterfall,a nd nutrient content of above- and below-ground vegetation and soil for a tropical montane forest at San Eusebio, Venezuela.
ABSTRACT: Biomass, litterfall,a nd nutrient content of above- and below-ground vegetation and soil for a tropical montane forest at San Eusebio, Venezuela.
ABSTRACT: NPP TUNDRA: POINT BARROW, ALASKA, 1970-1972
ABSTRACT: NPP TUNDRA: POINT BARROW, ALASKA, 1970-1972
ABSTRACT: NPP TUNDRA: POINT BARROW, ALASKA, 1970-1972
ABSTRACT: NPP TUNDRA: TOOLIK LAKE, ALASKA, 1982
ABSTRACT: NPP TUNDRA: TOOLIK LAKE, ALASKA, 1982
ABSTRACT: NPP TUNDRA: TOOLIK LAKE, ALASKA, 1982
Site radiance, temperature means & std. dev derived from NS001 aircraft TMS
Site radiance, temperature means & std. dev derived from NS001 aircraft TMS
ABSTRACT: Site radiance, temperature means & std. dev derived from NS001 aircraft TMS
Uses consistent input data and algorithms through time at the expense of spatial and temporal resolution. Intended for studies of interannual variability and climate.
Uses consistent input data and algorithms through time at the expense of spatial and temporal resolution. Intended for studies of interannual variability and climate.
Similar to NVAP-M Climate, but using only SSM/I data inputs. Intended for comparison to similar ocean-only passive microwave water vapor datasets.
Higher spatial and temporal resolution. Land GPS sites added beginning in 1997.  Intended for weather case studies.
Uses consistent input data and algorithms through time at the expense of spatial and temporal resolution. Intended for studies of interannual variability and climate.
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
ABSTRACT: Daily min, max, average temperature (F), precipitation (water equivalent in inches), and daily insolation (Langleys) for the Superior National Forest area as collected by NWS and U. of Minnesota
Monthly averages of daily temperature, precipitation and insolation data collected by the NWS for region including the Superior National Forest
Monthly averages of daily temperature, precipitation and insolation data collected by the NWS for region including the Superior National Forest
ABSTRACT: Monthly averages of daily temperature, precipitation and insolation data collected by the NWS for region including the Superior National Forest
Global lightning signatures from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) have been analyzed from the filmstrip imagery.  These signatures show up as horizontal streaks on the film images. The location of each of these streaks has been digitized in order to develop a preliminary database of global lightning activity. Monthly HDF data files are available for June and July 1973; Sept. - Dec. 1977; Jan. - Aug. 1978; Jan. - Dec. 1986; Jan. - Oct. 1987; Dec. 1988; Jan. - Dec. 1990; and Jan. - Dec. 1991.
Global lightning signatures from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) have been analyzed from the filmstrip imagery.  These signatures show up as horizontal streaks on the film images. The location of each of these streaks has been digitized in order to develop a preliminary database of global lightning activity. Monthly HDF data files are available for June and July 1973; Sept. - Dec. 1977; Jan. - Aug. 1978; Jan. - Dec. 1986; Jan. - Oct. 1987; Dec. 1988; Jan. - Dec. 1990; and Jan. - Dec. 1991.
Global lightning signatures from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) have been analyzed from the filmstrip imagery.  These signatures show up as horizontal streaks on the film images. The location of each of these streaks has been digitized in order to develop a preliminary database of global lightning activity. Monthly HDF data files are available for June and July 1973; Sept. - Dec. 1977; Jan. - Aug. 1978; Jan. - Dec. 1986; Jan. - Oct. 1987; Dec. 1988; Jan. - Dec. 1990; and Jan. - Dec. 1991.
Global lightning signatures from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) flown on DMSP 5D-F10 have been analyzed from the visible channel imagery.  These signatures show up as horizontal streaks on the images.  The time and location of each of these streaks have been extracted and are stored by month in HDF data files.  Data are available from February 1, 1994 through March 31,1994.
Global lightning signatures from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) flown on DMSP 5D-F10 have been analyzed from the visible channel imagery.  These signatures show up as horizontal streaks on the images.  The time and location of each of these streaks have been extracted and are stored by month in HDF data files.  Data are available from February 1, 1994 through March 31,1994.
Global lightning signatures from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) flown on DMSP 5D-F10 have been analyzed from the visible channel imagery.  These signatures show up as horizontal streaks on the images.  The time and location of each of these streaks have been extracted and are stored by month in HDF data files.  Data are available from February 1, 1994 through March 31,1994.
Global lightning signatures from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) flown on DMSP 5D-F12 have been analyzed from the visible channel imagery.  These signatures show up as horizontal streaks on the images.  The time and location of each of these streaks have been extracted and are stored by month in HDF data files.  Data are available from  March 1, 1995 through Nov. 30,1995.
Global lightning signatures from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) flown on DMSP 5D-F12 have been analyzed from the visible channel imagery.  These signatures show up as horizontal streaks on the images.  The time and location of each of these streaks have been extracted and are stored by month in HDF data files.  Data are available from  March 1, 1995 through Nov. 30,1995.
Global lightning signatures from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) flown on DMSP 5D-F12 have been analyzed from the visible channel imagery.  These signatures show up as horizontal streaks on the images.  The time and location of each of these streaks have been extracted and are stored by month in HDF data files.  Data are available from  March 1, 1995 through Nov. 30,1995.
The reprocessed OMI/Aura Level-2 Zoomed Aerosol data product OMAEROZ at 13x12 km resolution has been made available from the NASA Goddard Earth Sciences Data and Information Services Center(http://disc.gsfc.nasa.gov/Aura/OMI/omaeroz_v003.shtml ) for the public access in March 2012. 
There are two Level-2 Aura OMI aerosol products OMAERO and OMAERUV. The OMAERUV product uses the near-UV algorithm. The OMAERO (13x24 km resolution) and OMAEROZ (13x12 km resolution)is based on the multi-wavelength algorithm that uses up to 20 wavelength bands between 331 nm and 500 nm. The multi-wavelength retrieval algorithm is developed by the KNMI OMI Team Scientists. Drs. Deborah Stein-Zweers, Martin Sneep and Pepijn Veefkind are now the key investigators of this product. The OMAEROZ products contain Aerosol Optical Depths, Single Scattering Albedo, Aerosol Type, Aerosol Layer Height, and other intermediate and ancillary parameters and geolocation informations.

(The shortname for this Level-2 Zoomed Aerosol Product is OMAEROZ_V003)  

OMAEROZ files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). OMAEROZ data files are based on Zoomed Level 1B radiance observations which are made once a month. Thus there is one day of zoomed data (approximately 14 orbits) per month. The maximum file size for the OMAEROZ data is about 11 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml   

A Readme document containing brief algorithm description and known data quality related issues and  file spec are  provided by the OMAERO Algorithm lead (see  documents available from OMI product site http://disc.sci.gsfc.nasa.gov/Aura/data-holdings/OMI/omaeroz_v003.shtml
The Collection-3 Bromine Monoxide Product OMBRO from the Aura-OMI, is now available http://disc.gsfc.nasa.gov/Aura/OMI/ombro_v003.shtml) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access.
 
(The shortname for this Level-2 OMI total column BrO product is OMBRO)
The algorithm leads for this product are the US OMI scientists Dr. Kelly Chance (kchance@cfa.harvard.edu) and Dr. Thomas Kurosu (tkurosu@cfa.harvard.edu) from the Harvard-Smithsonian Center, Cambridge, MA.

The OMBRO product contains total vertical column BrO, standard erros (rms and sigma), quality flags, geolocation and other ancillary information.

OMBRO files are stored in EOS Hierarchical Data Format(HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The average file size for the OMBRO data product is about 5 Mbytes.
The collection-3 Chlorine Dioxide Product OMOCLO from the Aura-OMI, is now available (http://disc.gsfc.nasa.gov/Aura/OMI/omoclo_v003.shtml) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access.

(The shortname for this Level-2 OMI total column OClO product is OMOCLO)
The algorithm leads for this product are the US OMI scientists Dr. Kelly Chance (kchance@cfa.harvard.edu) and Dr. Thomas Kurosu (tkurosu@cfa.harvard.edu) from the Harvard-Smithsonian Center, Cambridge, MA.
       
The OMOCLO product contains slant column OClO, standard erros (rms  and sigma), quality flags, geolocation and other ancillary information.       
 
OMOCLO files are stored in EOS Hierarchical Data Format  (HDF-EOS5). Each file contains data from the day lit portion of an  orbit (~53 minutes). There are approximately 14 orbits per day. The  maximum file size for the OMOCLO data product is about 20 Mbytes.
       
A short OMOCLO Readme Document that includes brief algorithm
description and documents that provides known data quality related
issues are available from the Harvard-Smithsonian Center site:
 
http://www.cfa.harvard.edu/~tkurosu/SatelliteInstruments/OMI/PGEReleases/
The reprocessed OMI/Aura Level-2 cloud data product OMCLDO2 is now available from the NASA GoddardEarth Sciences Data and Information Services Center (GES DISC) for the public access.It is the second release of Version 003 and was reprocessed late 2011.

(The shortname for this Level-2 OMI cloud product is OMCLDO2) 

OMI provides two cloud products based on two different algorithms, the
Rotational Raman Scattering method and O2-O2 absorption method using the DOAS
technique. This level-2 global cloud product at the pixel resolution (13x24 km2
at nadir) is based on the spectral fitting of O2-O2 absorption band at 477 nm
using DOAS technique. This product contains cloud pressure, cloud fraction,
slant column O2-O2; O3, Ring coefficients, uncertainties in derived
parameters, terrain and geolocation information, solar and satellite viewing
angles, and quality flags.

The shortname for this Level-2 OMI cloud product is OMCLDO2  and the lead
scientist for this product is Dr. Pepijn Veefkind.

OMCLDO2  product  files are stored in Hierarchical Data Format (HDF-EOS5). 
Each file contains data from the day lit portion of an orbit (~53 minutes) and
is roughly 15.096 MB in size. There are approx 14 orbits per day thus the total
data volume is approximately 200 GB/day.

A Readme document containing brief algorithm description and  known data
quality related issues and  file spec are  provided by the OMCLDO2 Algorithm
lead (see  http://disc.sci.gsfc.nasa.gov/Aura/secondary/documentation/OMI_DUG.pdf ).
The reprocessed OMI/Aura Level-2 zoomed cloud data product OMCLDO2Z at 13x12 km resolution is now available ( http://disc.gsfc.nasa.gov/Aura/OMI/omcldo2z_v003.shtml ) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. It is the second release of Version 003 and was reprocessed late 2011.

OMI provides two cloud products based on two different algorithms, the Rotational Raman Scattering method and O2-O2 absorption method using the DOAS technique. This level-2 zoomed cloud product at the pixel resolution (13x12 km2 at nadir) is based on the spectral fitting of O2-O2 absorption band at 477 nm using DOAS technique. This product contains effective cloud pressure, effective cloud fraction, slant column O2-O2; uncertainties in derived, parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. 

(The shortname for this Level-2 OMI Zoomed cloud product is OMCLDO2Z)  
The lead scientist for this product is Dr. Pepijn Veefkind.

OMCLDO2Z  files are stored in Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes) and is roughly 20 MB in size. OMCLDO2Z data files are based on Zoomed Level 1B radiance observations which are  made once a month. Thus there is one zoomed cloud product per month.
 A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml
A Readme document containing brief algorithm description and  known data quality related issues and  file spec are  provided by the OMCLDO2 Algorithm lead
The Version-3 Formaldehyde Product OMHCHO from the Aura-OMI is now  available (http://disc.gsfc.nasa.gov/Aura/OMI/omhcho_v003.shtml) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the  public access.

(The shortname for this Level-2 OMI total column Formaldehyde product is OMHCHO) 
The algorithm leads for this product are the US OMI scientists Dr. Kelly Chance (kchance@cfa.harvard.edu) and Dr. Thomas Kurosu (tkurosu@cfa.harvard.edu) from the Harvard-Smithsonian Center, Cambridge, MA.
 
The OMHCHO product contains total vertical column HCHO, standard erros (rms and sigma), quality flags, geolocation and other ancillary information.

OMHCHO files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The average file size for the OMHCHO data product is about 5 Mbytes.

A short OMHCHO Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from the Harvard-Smithsonian Center site: http://www.cfa.harvard.edu/~tkurosu/SatelliteInstruments/OMI/PGEReleases/
The Version-3 Aura/OMI Pixel Corner Product, OMPIXCOR, is now available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC)for the public access.(http://disc.gsfc.nasa.gov/Aura/OMI/ompixcor_v003.shtml )              
      
(The shortname for this Level-2 OMI product is OMPIXCOR) 
The algorithm lead for this product is the US OMI scientists Dr. Thomas Kurosu (tkurosu@cfa.harvard.edu) from the Harvard-Smithsonian Center, Cambridge, MA.
      
The OMPIXCOR product contains ground locations of the OMI pixel corners in the global scanning mode and other ancillary informations.
      
OMPIXCOR files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes) . There are approximately 14 orbits per day. The average file size for the OMPIXCOR data product is about 5 Mbytes.
The Level-1B (L1B) Radiance Product OML1BRVZ (Version-3) from the Aura-OMI is now available (http://disc.gsfc.nasa.gov/Aura/OMI/oml1brvz_v003.shtml) to public from the NASA GSFC Earth Sciences Data and Information Services Center (GES DISC).

OMI calibrated and geolocated radiances for the channels in the UV1 (264-311 nm), UV2 (307-383 nm)and VIS(349-504) regions, spectral irradiances, calibration measurements, and all derived geophysical atmospheric products are archived at the NASA Goddard DAAC.

(The shortname for this OMI Level-1B Product is OML1BRVZ) 
The lead algorithm scientist for this product is Dr. Marcel Dobber from the KNMI.

The OMI Level 1B Visible Radiance Zoom-in Product OML1BRVZ contains geolocated Earth view spectral radiances from the VIS channel detectors in the wavelength range of 349 to 504 nm. The product contains the measurements that are taken once a month using the spatial zoom-in measurement modes (30 pixels covering 750 km swath width). In spatial zoom in mode the nadir ground pixel size is 13 x 12 km2 and measurements are available only for the wavelengths 306 to 432 nm. 

 OML1BRVZ files are stored in EOS Hierarchical Data Format (HDF-EOS 2.4) which is based on HDF4.  The radiance for the earth measurements (also referred as signal) and its precision are stored as a 16 bit mantissa and an 8-bit exponent. The signal can be computed using the equation: signal = signal_mantissa x 10 exponent . For the precision, the same exponent is used as for the signal. Each file contains data from the day lit portion of an orbit (~53 minutes) and is roughly 570 MB in size. There are approximately 14 orbits per day.
The OMI science team produces two Level-3 Aura/OMI Global Aerosol Data Products OMAERUVd (1deg Lat/Lon grids) and OMAEROe (0.25deg Lat/Lon grids). The OMAERUVd product is based on the Level-2 OMAERUV product that uses the near-UV algorithm whereas the OMAERO product is based on the multi-wavelength algorithm that uses up to 20 wavelength bands between 331 nm and 500 nm. OMAERO retrieval algorithm is developed by the KNMI OMI Team Scientists. Drs. Deborah Stein-Zweers, Martin Sneep and Pepijn Veefkind are now the key investigators of this product. 
  
  (The shortname for this Level-3 Global Gridded Aerosol Product is OMAEROe_V003) 
 
 The Level-3 OMAEROe product selects best aerosol value from the Leve2G good quality data that are reported in each grid. The selection criteria is based on the shortest optical path length (=Secant of solar zenith angle+Secant of view zenith angle).       
OMAEROe files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMAEROe data product is about 7 Mbytes.
The OMI-Aura level-2G daily global gridded (0.25x0.25 deg) near-UV Aerosol data product OMAERUVG based on the enhanced algorithm is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruvg_v003.shtml 
      
(The shortname for this Level-2G Global Gridded near-UV Aerosol Product is OMAERUVG_V003)             

This Level-2G daily global gridded product OMAERUVG is based on the pixel level OMI Level-2 Aerosol product OMAERUV. The OMAERUV product is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data. OMI provides two aerosol products OMAERUV and OMAERO at the pixel resolution (13 x 24 km at nadir) that are based on two different algorithms.
      
OMAERUVG data product is a special Level-2 gridded product where pixel level products are binned into 0.25x0.25 degree global grids. It contains the data for all scenes that have observation time betweeen UTC times of 00:00:00 and 23:59:59.9999 . All data pixels that fall in a grid box are saved without averaging. Scientist can apply data filtering scheme of their choice and create new gridded products. The GES DISC developed interactive tool Giovanni (http://giovanni.gsfc.nasa.gov/ ) provides web based capabilities to browse and explore these data.
      
The OMAERUVG data product contains almost all parameters that are contained in OMAERUV. For example, in addition to the extinction and absorption optical depth it also contains effective Lambertian scene-reflectivity, UV aerosol index,  cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and extensive quality flags.
      
OMAERUVG files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits mapped on the Global 0.25x0.25 deg Grids. The maximum file size for the OMERUVG data product is about 50 Mbytes.
The OMI-Aura level-3 daily global gridded (1x1 deg) near-UV Aerosol data product OMAERUVd based on the enhanced algorithm is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruvd_v003.shtml 
       
                                    This Level-3 daily global gridded product OMAERUVd is produced from the pixel level OMI Level-2 Aerosol data product OMAERUV. The OMAERUV data product is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data. OMI provides two aerosol products OMAERUV and OMAERO at the pixel resolution (13 x 24 km at nadir) that are based on two different algorithms. The OMAERUVd data product contains extinction and absorption optical depths at three wavelenghts (355 nm, 388 nm and 500 nm). 
                                    OMAERUVd data product is a Level-3 gridded product where all data pixels that fall in a grid box are quality filtered and then averaged. The GES DISC developed interactive tool Giovanni (http://giovanni.gsfc.nasa.gov/ ) provides web based capabilities to browse and explore these data.
                                    
					  (The shortname for this Level-3 Global Gridded near-UV Aerosol Product is OMAERUVd_V003)  
                                    
					  OMAERUVd files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 0.2 Mbytes.
The OMI/Aura Level-3 Global Gridded(0.25x0.25 deg) Nitrogen Dioxide Product "OMNO2d" is now released (Jan 10, 2013) to the public from the NASA Goddard Earth Sciences Data and Information Services Center(GES DISC). The OMNO2 (Level-2) and OMNO2G (Level-2G, binned) processed earlier (in 2012) are also available from GES DISC. see http://disc.sci.gsfc.nasa.gov/Aura/data-holdings/OMI/

Nitrogen dioxide is an important chemical species in both, the stratosphere where it plays a key role in ozone chemistry, and in the troposphere where it is a precursor to ozone production. In the troposphere, it is produced in various combustion processes and in lightning and is an indicator of poor air quality.
                        
(The shortname for this Level-3 Global Gridded Nitrogen Dioxide Product is OMNO2d_V003) 
The algorithm leads for the NO2 products are NASA OMI scientist Dr. Nickolay Krotkov and KNMI scientist Dr. Pepijn Veefkind.
                                    
OMNO2d data product is a Level-3 Gridded Product where pixel level data of good quality are binned and "averaged" into 0.25x0.25 degree global grids. This product contains Total column NO2 and Total Tropospheric Column NO2, for all atmospheric conditions, and for sky conditions where cloud fraction is less than 30 percent.   Details are available in the documents provided on the NASA GES DISC OMI site http://disc.gsfc.nasa.gov/Aura/OMI/documents/v003/omno2d_v003.shtml 
                        
OMNO2d data are stored in EOS Hierarchical Data Format (HDF-EOS). Each file contains data from the day lit portion of the orbit (~14 orbits).  The average file size for the OMNO2d data product is about 6 Mbytes.
The second release of Version 003 OMI/Aura Level-2 Total Column Ozone Data Product OMDOAO3 is now available ( http://disc.gsfc.nasa.gov/Aura/OMI/omdoao3_v003.shtml ) from the NASA Goddard Earth Sciences Data and Information Services Center (GES  DISC) for the public access. The data was processed in late 2011 using Algorithm or PGE version 1.2.3 and released in March 2012.

OMI provides two total column ozone products based on two different algorithms. This level-2 global total column ozone product at the pixel resolution (13x24 km at nadir), is based on the Differential Absorption Spectroscopy (DOAS) fitting technique that essentially uses the OMI visible radiance values between 331.1 and 336.1 nm. In addition to the total ozone column this product also contains some auxiliary derived and ancillary input parameters e.g. ozone slant column density, ozone ghost column density, air mass factor, scene reflectivity, radiance over the DOAS fit window, root mean square of DAOS fit, cloud fraction, cloud radiance, cloud pressure, terrain height,  geolocation, viewing angles and quality flags.

(The shortname for this Level-2 OMI total column ozone product is OMDOAO3)
The lead scientist for this product is Dr. J. Pepijn Veefkind (Veefkind@knmi.nl).
 
OMDOAO3 product files are stored in Hierarchical Data Format (HDF-EOS5).  Each file contains data from the day lit portion of an orbit (approx 53 minutes) and is roughly 10.978 MB in size. There are approximately 14 orbits per day thus the total data volume is approximately 150 GB/day. A list of tools for browsing and extracting data from these files can be found at:  http://disc.gsfc.nasa.gov/Aura/tools.shtml

A  'Readme' document containing brief algorithm description and  known data quality related issues and  file spec are  provided by the OMDOAO3 Algorithm lead (see http://disc.gsfc.nasa.gov/Aura/OMI/omdoao3_v003.shtml).
The OMI/Aura Level-3 (Global 0.25deg Lat/Lon grid) Total Column Ozone Data Product OMDOAO3e (Version 003) is now available ( http://disc.gsfc.nasa.gov/Aura/OMI/omdoao3e_v003.shtml ) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access.

OMI provides two Level-2 total column ozone products (OMTO3 and OMDOAO3) based on two different algorithms. This Level-3 global total column ozone product is derived from OMDOAO3 which is based on the Differential Absorption Spectroscopy (DOAS) fitting technique that essentially uses the OMI visible radiance values between 331.1 and 336.1 nm. In addition to the total ozone column (best quality data,  satisfying the shortest path length) and its precision this product also contains some ancillary parameters such as cloud fraction, cloud height, etc.  The short name for this Level-3 OMI ozone product is OMDOAO3e and the lead Algorithm scientist for this product and for OMDOAO3 (the data source of OMDOAO3e) is Dr. Pepijn Veefkind from KNMI.

(The shortname for this Level-3 OMI product is OMDOAO3e)
OMDOAO3e product files are stored in Hierarchical Data Format (HDF-EOS5).  Each daily file contains data from the day lit portion of the orbits (approx 14 orbits) and is roughly 80 MB in size. For browsing and extracting data from these files, some software and tools are made available from the site: http://disc.gsfc.nasa.gov/Aura/tools.shtml 

A Readme document containing brief algorithm description and file spec are provided by the OMDOAO3 Algorithm lead (see
 http://disc.gsfc.nasa.gov/Aura/OMI/omdoao3e_v003.shtml .
The OMI/Aura Level-2 Ozone Profile data product OMO3PR (Version 003) is now available ( http://disc.gsfc.nasa.gov/Aura/OMI/omo3pr_v003.shtml ) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. 

OMI Level-2 ozone profile product, OMO3PR at the pixel resolution 13x 48 km (at nadir), is based on the optimal estimation algorithm (Rodgers, 2000) with climatological ozone profiles as a-priori information. The OMO3PR retrieval algorithm uses spectral radiance values from the UV1 channel (270 nm to 308.5 nm) and from the first part of the UV2 channel (311.5 nm to 33 0 nm). OMO3PR product provides ozone values (in Dobson unit) for 18 atmospheric layers. It also provides a-priori ozone profile values, error covariance matrix, averaging kernel and some ancillary information such as time, latitude, longitude, solar zenith and viewing zenith angles and quality flags . 

(The short name for this Level-2 OMI ozone profile product is OMO3PR)
The lead scientist for this product is Dr. Johan de Haan (johan.de.haan@knmi.nl). 

OMO3PR product files are stored in Hierarchical Data Format (HDF-EOS5 ).  Each file contains data from the day lit portion of an orbit (approx 53 minutes). There are approximately 14 orbits per day thus the total data volume is approximately 150 GB/day. A list of tools for browsing and extracting data from these files can be found at:  http://disc.gsfc.nasa.gov/Aura/tools.shtml

A 'Readme' document containing brief algorithm description and known data quality related issues and file spec are provided by the OMO3PR algorithm lead (see http://disc.gsfc.nasa.gov/Aura/OMI/omo3pr_v003.shtml ).
The OMI/Aura Level-2G Total Column Ozone Data Product OMTO3G (Version 003) is made available ( http://disc.gsfc.nasa.gov/Aura/OMI/omto3g_v003.shtml ) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access.
  
OMI provides two total column ozone products OMTO3 and OMDOAO3 at the pixel resolution (13 x 24 km at nadir) that are based on two different algorithms. This Level-2G daily global gridded total column ozone product OMTO3G is based on the pixel level OMI Level-2 Total Ozone Product OMTO3. The OMTO3 product is based on enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm.
          
(The shortname for this Level-2G Total Column Ozone Data product is OMTO3G_V003)

OMTO3G data product is a special Level-2 Global Gridded Product where pixel level data are binned into 0.25x0.25 degree global grids. It contains the data for all L2 scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved Without Averaging. Scientist can apply data filtering scheme of their choice and create new gridded products. The GES DISC developed interactive toolGiovanni(http://giovanni.gsfc.nasa.gov/) provides web based capabilities to browse and explore these data.
     
OMTO3G product files are stored in Hierarchical Data Format (HDF-EOS5). Each daily data file contains data from the day lit portion of the orbits (~14 orbits) and is roughly 150 MB in size. A list of tools for browsing and extracting data from these files can be found from the site http://disc.sci.gsfc.nasa.gov/Aura/tools.shtml.
      
The OMTO3G data product contains almost all parameters that are contained in the OMTO3. For example, in addition to the total column ozone it also contains  UV aerosol index, cloud fraction, cloud pressure, terrain height, geolocation, solar and satellite viewing angles, and extensive quality flags.
The OMI/Aura Level-2G SO2 Data Product OMSO2G (Version 003) is  now available http://disc.gsfc.nasa.gov/Aura/OMI/omso2g_v003.shtml ) from  the NASA Goddard Earth Sciences Data and Information Services Center  (GES DISC) for the public access.
       
(The shortname for this Level-2 OMI total column SO2 product is OMSO2G) 
The algorithm leads for this product are NASA/UMBC OMI scientists Dr. Nikolay Krotkov (nickolay.a.krotkov@nasa.gov) and Dr. Arlin  J.Krueger (krueger@umbc.edu).

This Level-2G daily global gridded product OMSO2G is based on the pixel level OMI Level-2 SO2 product OMSO2. OMSO2G data product is a special Level-2 gridded product where pixel level products are binned into 0.125x0.125 degree global grids. It contains the data for all scenes that have observation time betweeen UTC times of 00:00:00 and 23:59:59.9999 . All data pixels that fall in a grid box are saved without averaging. Scientist can apply data filtering scheme of their choice and create new gridded products. The GES DISC developed interactive tool Giovanni (http://giovanni.gsfc.nasa.gov/ ) provides web based capabilities to browse and explore these data.

The OMSO2G data product contains almost all parameters that are contained in OMSO2 files. For example, in addition to three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the  retrieval algorithm, and ancillary parameters e.g UV aerosol index,  cloud fraction, cloud pressure, geolocation, solar and satellite viewing angles, and extensive quality flags.       
   
OMSO2G files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits . The maximum file size for the OMTO3G data product is about 100 Mbytes.

A short OMSO2G Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from  the UMBC OMI site( http://so2.umbc.edu/omi/omi_docs.html )
The Version 003 of Aura-OMI Surface UV Irradiance Product OMUVB is now available(http://disc.gsfc.nasa.gov/Aura/OMI/omuvb_v003.shtml) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access.
                                   
      (The shortname for this Level-2 OMI Surface UVB product is OMUVB) 
      The FMI algorithm scientists for this product are: Dr. Jari Hovila, Dr. Antii Arola and Dr. Johanna Taminnen. 
  
OMUVB files are stored in EOS Hierarchical Data Format  (HDF-EOS5). Each file contains data from the day lit portion of an  orbit (~53 minutes). There are approximately 14 orbits per day. The  maximum file size for the OMUVB data product is about 10 Mbytes. 

The OMUVB product contains erythemally weighted daily dose and dose rate, and spectral irradiances at 305, 310, 324, and 380 nm. It also contains quality flags, cloud optical depth, Lambertian Equivalent Reflectivity, Total Column Ozone amount, and other ancillary information.
The Version 003 of Aura-OMI Spectral Surface UVB Irradiance and Erythemal Dose Level-2G data product (Daily level-2 data binned into global 0.25 deg Lat/Lon grids) is now available ( http://disc.sci.gsfc.nasa.gov/Aura/OMI/omuvbg_v003.shtml )from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access.
                 
      (The shortname for this Level-2G OMI Surface UVB product is OMUVBG)
      The algorithm team consists of FMI scientists Drs. J. Hovila, A. Arola
      and J. Tamminen.
      
      The OMUVBG is a special Level-2 Global Gridded type data Product (referred as Level 2G or L2G) where Level-2 or swath pixel data are binned (but not averaged)into 0.25x0.25 degree global grids. It contains the data for all L2 scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All ancillary parameters such as Lat, Long, time, solar and viewing angles are also saved for each pixel. First two dimensions of each parameter correspond to spatial (Lat/Lon based) Grid ID and third dimension idenifies the pixel or observed scene (referred as 'candidates' ID). Scientist can apply data filtering scheme of their choice, average good quality pixels data in each grid and create their Level-3 products. The GES DISC developed interactive tool Giovanni(http://giovanni.gsfc.nasa.gov/) provides web based capabilities to browse and explore these data.
      
      OMUVBG files are available in EOS Hierarchical Data Format(HDF5-EOS). Each file contains daily data from the day lit portion of the globe. The maximum file size for the OMUVBG data product is about 128 MBytes. Parameter and spatial subsetting is available during the data download from the GES DISC data access system (http://mirador.gsfc.nasa.gov).
The Aura-OMI Daily Gridded Surface UV Irradiance Product (OMUVBd) is now available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access.

(The shortname for this Level-3 OMI Surface UVB product is OMUVBd_V003)

The algorithm team consists of FMI scientists Drs. J. Hovila, A. Arola and J. Tamminen.

The OMUVBd product contains global erythemally weighted daily dose and erythemal dose rate at local solar noon at 1.0x1.0 deg grids.

OMUVBd files are available in EOS Hierarchical Data Format (HDF-EOS) and TOMS-Like ASCII Format. Each file contains daily data from the day lit portion of the globe. The maximum file size for the OMUVBd data product is about 2 MBytes.
The Version-003 of Level-3 Aura/OMI daily global TOMS-Like Total Column Ozone gridded product (OMTO3e) is generated by the NASA OMI science team by picking the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25x0.25 degree global grids. The OMTO3 Product is a Level-2 (orbital swath, 13x24 km spatial resolution at nadir)  product based on the enhanced TOMS version-8 algorithm. The OMTO3e product is made available to the OMI data user from the GES DISC site( http://mirador.gsfc.nasa.gov/). The documents giving the details of data filtering and the data read and visualization software are made available from the OMTO3 product site, http://disc.gsfc.nasa.gov/Aura/OMI/omto3e_v003.shtml. 

(The shortname for this Level-3 TOMS-Like total column ozone product is OMTO3e_V003)
OMTO3e data is stored in HDF-EOS5 format. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. The file size is approximately 2.8 Mbytes. The capabilities of parameter and spatial sub-settings in HDF and ASCII formats are available from the GES DISC data download site http://mirador.gsfc.nasa.gov/.
OMTO3e data is also available in the GES DISC Giovanni system, an online Web-based browser for previewing and exploring the key parameters (http://giovanni.gsfc.nasa.gov/).                             
There are two Aura/OMI daily global TOMS-Like Total Column Ozone gridded products, OMTO3e is gridded in 0.25x0.25 degree, and OMTO3d is gridded in 1x1 degree.
The Level-3 Aura/OMI daily global TOMS-Like Total Column Ozone gridded product (OMTO3d) is generated by the NASA OMI science team by gridding and averaging only good quality level-2 total column ozone orbital swath data (OMTO3, based on the enhanced TOMS version-8 algorithm) on the 1x1 degree global grids. OMTO3d product is made available from the GES DISC ( http://mirador.gsfc.nasa.gov/) for the public access. The documents giving the details of data filtering and the data read and visualization software are also made available from the GES DISC site: http://disc.gsfc.nasa.gov/Aura/OMI/omto3d_v003.shtml . 
 (The shortname for this Level-3 TOMS-Like total column ozone product is OMTO3d_V003) 
  There are two Aura/OMI daily global TOMS-Like Total Column Ozone gridded products, OMTO3e is gridded in 0.25x0.25 degree, and OMTO3d is gridded in 1x1 degree.
The Version-3 Aura/OMI Zoom-in Pixel Corner Coordinates and Pixel Size Product, OMPIXCORZ, is available (http://disc.gsfc.nasa.gov/Aura/OMI/ompixcorz_v003.shtml) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the  public access.

      (The shortname for this Level-2 OMI product is OMPIXCORZ) 
	    The algorithm lead for this product is the US OMI scientists Dr. Thomas Kurosu (tkurosu@cfa.harvard.edu) from the Harvard-Smithsonian Center, Cambridge, MA.
             
      The OMPIXCORZ product contains ground locations of the pixel corners of the OMI Field of View in the zoom-in mode and other ancillary informations.
      
      OMPIXCORZ files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The average file size for the OMPIXCORZ data product is about 8 Mbytes.
Cross referenced calibration optical thickness data from C-130 and KSU staff
Cross referenced calibration optical thickness data from C-130 and KSU staff
ABSTRACT: Cross referenced calibration optical thickness data from C-130 and KSU staff
Airborne sunphotometer data collected on 8/13-15/90 used to provide quantitative atmospheric correction to remotely sensed data of forest reflectance and radiance
Airborne sunphotometer data collected on 8/13-15/90 used to provide quantitative atmospheric correction to remotely sensed data of forest reflectance and radiance
ABSTRACT: Airborne sunphotometer data collected on 8/13-15/90 used to provide quantitative atmospheric correction to remotely sensed data of forest reflectance and radiance
Optical thickness data from Dr. Carol Bruegge, JPL
Optical thickness data from Dr. Carol Bruegge, JPL
ABSTRACT: Optical thickness data from Dr. Carol Bruegge, JPL
Airborne sun photometer data taken from C-130
Airborne sun photometer data taken from C-130
ABSTRACT: Airborne sun photometer data taken from C-130
Aerosol optical thickness data reported by Robert Fraser
Aerosol optical thickness data reported by Robert Fraser
ABSTRACT: Aerosol optical thickness data reported by Robert Fraser
Field sunphotometer data collected on 8/13-15/90 used to provide quantitative atmospheric correction to remotely sensed data of forest reflectance and radiance
Field sunphotometer data collected on 8/13-15/90 used to provide quantitative atmospheric correction to remotely sensed data of forest reflectance and radiance
ABSTRACT: Field sunphotometer data collected on 8/13-15/90 used to provide quantitative atmospheric correction to remotely sensed data of forest reflectance and radiance
Optical thickness data from KSU staff science
Optical thickness data from KSU staff science
ABSTRACT: Optical thickness data from KSU staff science
The Optical Transient Detector (OTD) records optical measurements of global lightning events in the daytime and nighttime. The data includes individual point (lightning) data, satellite metadata, and several derived products. The OTD was launched on 3 April 1995 aboard the Microlab-1 satellite into a near polar orbit with an inclination of 70 degrees with respect to the equator, at an altitude of 740 km.
The Optical Transient Detector (OTD) records optical measurements of global lightning events in the daytime and nighttime. The data includes individual point (lightning) data, satellite metadata, and several derived products. The OTD was launched on 3 April 1995 aboard the Microlab-1 satellite into a near polar orbit with an inclination of 70 degrees with respect to the equator, at an altitude of 740 km.
The Optical Transient Detector (OTD) records optical measurements of global lightning events in the daytime and nighttime. The data includes individual point (lightning) data, satellite metadata, and several derived products. The OTD was launched on 3 April 1995 aboard the Microlab-1 satellite into a near polar orbit with an inclination of 70 degrees with respect to the equator, at an altitude of 740 km.
This collection contains Near Real Time Data from the Ozone Monitoring Instrument(OMI).The OMI instrument employs hyperspectral imaging in a push-broom mode to observe solar backscatter radiation in the visible and ultraviolet.
Sky & ground radiance values averaged to give equal intervals of viewing angles
Sky & ground radiance values averaged to give equal intervals of viewing angles
ABSTRACT: Sky & ground radiance values averaged to give equal intervals of viewing angles
The overall purpose in this research was to identify the regions of the world best suited for long-term monitoring of biospheric responses to climate change, i.e., monitoring land surface phenology. The user is referred to White et al. [2005] for further details. Using global 8 km 1982 to 1999 Normalized Difference Vegetation Index (NDVI) data and an eight-element monthly climatology, we identified pixels consistently dominated by annual cycles and then created phenologically and climatically self-similar clusters, which we term phenoregions. We then ranked and screened each phenoregion as a function of landcover homogeneity and consistency, evidence of human impacts, and political diversity.This dataset contains material providing users with direct access to data used to construct the figures in White et al. [2005]. Users are referred to this reference for additional information. Data files include ASCII and binary versions of the image files for the 500 elemental phenoregions and the 136 final monitoring phenoregions (shown in figure below) and a corresponding .jpg map. Also included are the classification data in tabular ACSII format for each of  the 500 elemental phenoregions.Selected monitoring phenoregions. Phenoregions with fewer than 100 pixels or dominated by crop, urban or barren landcover removed. The 136 remaining phenoregions are those passing the screening factors in Table 1 and are shown with normalized rankings by landcover. (From White et al., 2005)
The overall purpose in this research was to identify the regions of the world best suited for long-term monitoring of biospheric responses to climate change, i.e., monitoring land surface phenology. The user is referred to White et al. [2005] for further details. Using global 8 km 1982 to 1999 Normalized Difference Vegetation Index (NDVI) data and an eight-element monthly climatology, we identified pixels consistently dominated by annual cycles and then created phenologically and climatically self-similar clusters, which we term phenoregions. We then ranked and screened each phenoregion as a function of landcover homogeneity and consistency, evidence of human impacts, and political diversity.This dataset contains material providing users with direct access to data used to construct the figures in White et al. [2005]. Users are referred to this reference for additional information. Data files include ASCII and binary versions of the image files for the 500 elemental phenoregions and the 136 final monitoring phenoregions (shown in figure below) and a corresponding .jpg map. Also included are the classification data in tabular ACSII format for each of  the 500 elemental phenoregions.Selected monitoring phenoregions. Phenoregions with fewer than 100 pixels or dominated by crop, urban or barren landcover removed. The 136 remaining phenoregions are those passing the screening factors in Table 1 and are shown with normalized rankings by landcover. (From White et al., 2005)
ABSTRACT: The overall purpose in this research was to identify the regions of the world best suited for long-term monitoring of biospheric responses to climate change, i.e., monitoring land surface phenology. The user is referred to White et al. [2005] for further details. Using global 8 km 1982 to 1999 Normalized Difference Vegetation Index (NDVI) data and an eight-element monthly climatology, we identified pixels consistently dominated by annual cycles and then created phenologically and climatically self-similar clusters, which we term phenoregions. We then ranked and screened each phenoregion as a function of landcover homogeneity and consistency, evidence of human impacts, and political diversity.This dataset contains material providing users with direct access to data used to construct the figures in White et al. [2005]. Users are referred to this reference for additional information. Data files include ASCII and binary versions of the image files for the 500 elemental phenoregions and the 136 final monitoring phenoregions (shown in figure below) and a corresponding .jpg map. Also included are the classification data in tabular ACSII format for each of  the 500 elemental phenoregions.Selected monitoring phenoregions. Phenoregions with fewer than 100 pixels or dominated by crop, urban or barren landcover removed. The 136 remaining phenoregions are those passing the screening factors in Table 1 and are shown with normalized rankings by landcover. (From White et al., 2005)
The Pilot 2002 Environmental Performance Index (EPI) is designed to measure current environmental status at the national scale. The Pilot 2002 EPI derives from a collection of data sets aggregated into four core indicators that gauge air and water quality, greenhouse emissions, and land protection. These indicators provide measures of both current performance and rates of change. The Pilot 2002 EPI covers 23 countries for which adequate time series data were available. The targeted, results-oriented EPI provides a valuable counterpoint to the Environmental Sustainability Index, which covers a much broader range of conditions aimed at measuring long-term environmental prospects. The Pilot 2002 EPI is the result of collaboration among the World Economic Forum (WEF) Global Leaders for Tomorrow Environment Task Force, Yale Center for Environmental Law and Policy (YCELP), and the Columbia University Center for International Earth Science Information Network (CIESIN). (Suggested Usage: The Pilot 2002 EPI enables benchmarking of progress toward meeting immediate policy objectives, facilitates judgments about environmental performance, and can be used to identify important differences in performance that may warrant intervention of investigation.)
The Pilot 2002 Environmental Performance Index (EPI) is designed to measure current environmental status at the national scale. The Pilot 2002 EPI derives from a collection of data sets aggregated into four core indicators that gauge air and water quality, greenhouse emissions, and land protection. These indicators provide measures of both current performance and rates of change. The Pilot 2002 EPI covers 23 countries for which adequate time series data were available. The targeted, results-oriented EPI provides a valuable counterpoint to the Environmental Sustainability Index, which covers a much broader range of conditions aimed at measuring long-term environmental prospects. The Pilot 2002 EPI is the result of collaboration among the World Economic Forum (WEF) Global Leaders for Tomorrow Environment Task Force, Yale Center for Environmental Law and Policy (YCELP), and the Columbia University Center for International Earth Science Information Network (CIESIN). (Suggested Usage: The Pilot 2002 EPI enables benchmarking of progress toward meeting immediate policy objectives, facilitates judgments about environmental performance, and can be used to identify important differences in performance that may warrant intervention of investigation.)
The Pilot 2002 Environmental Performance Index (EPI) is designed to measure current environmental status at the national scale. The Pilot 2002 EPI derives from a collection of data sets aggregated into four core indicators that gauge air and water quality, greenhouse emissions, and land protection. These indicators provide measures of both current performance and rates of change. The Pilot 2002 EPI covers 23 countries for which adequate time series data were available. The targeted, results-oriented EPI provides a valuable counterpoint to the Environmental Sustainability Index, which covers a much broader range of conditions aimed at measuring long-term environmental prospects. The Pilot 2002 EPI is the result of collaboration among the World Economic Forum (WEF) Global Leaders for Tomorrow Environment Task Force, Yale Center for Environmental Law and Policy (YCELP), and the Columbia University Center for International Earth Science Information Network (CIESIN). (Suggested Usage: The Pilot 2002 EPI enables benchmarking of progress toward meeting immediate policy objectives, facilitates judgments about environmental performance, and can be used to identify important differences in performance that may warrant intervention of investigation.)
The Pilot 2006 Environmental Performance Index (EPI) centers on two broad environmental protection objectives: (1) reducing environmental stresses on 

human health, and (2) promoting ecosystem vitality and sound natural resource management. Derived from a careful review of the environmental literature, these twin goals mirror the 

priorities expressed by policymakers. Environmental health and ecosystem vitality are gauged using sixteen indicators tracked in six well-established policy categories: Environmental 

Health, Air Quality, Water Resources, Productive Natural Resources, Biodiversity and Habitat, and Sustainable Energy. The Pilot 2006 EPI utilizes a proximity-to-target methodology 

focused on a core set of environmental outcomes linked to policy goals for which every government should be held accountable. By identifying specific targets and measuring how close each 

country comes to them, the EPI provides a factual foundation for policy analysis and a context for evaluating performance. Issue-by-issue and aggregate rankings facilitate cross-country 

comparisons both globally and within relevant peer groups. The EPI is the result of collaboration among the Yale Center for Environmental Law and Policy (YCELP), Columbia University 

Center for International Earth Science Information Network (CIESIN), World Economic Forum (WEF), and the Joint Research Centre (JRC), European Commission.
The Pilot 2006 Environmental Performance Index (EPI) centers on two broad environmental protection objectives: (1) reducing environmental stresses on 

human health, and (2) promoting ecosystem vitality and sound natural resource management. Derived from a careful review of the environmental literature, these twin goals mirror the 

priorities expressed by policymakers. Environmental health and ecosystem vitality are gauged using sixteen indicators tracked in six well-established policy categories: Environmental 

Health, Air Quality, Water Resources, Productive Natural Resources, Biodiversity and Habitat, and Sustainable Energy. The Pilot 2006 EPI utilizes a proximity-to-target methodology 

focused on a core set of environmental outcomes linked to policy goals for which every government should be held accountable. By identifying specific targets and measuring how close each 

country comes to them, the EPI provides a factual foundation for policy analysis and a context for evaluating performance. Issue-by-issue and aggregate rankings facilitate cross-country 

comparisons both globally and within relevant peer groups. The EPI is the result of collaboration among the Yale Center for Environmental Law and Policy (YCELP), Columbia University 

Center for International Earth Science Information Network (CIESIN), World Economic Forum (WEF), and the Joint Research Centre (JRC), European Commission.
The Pilot 2006 Environmental Performance Index (EPI) centers on two broad environmental protection objectives: (1) reducing environmental stresses on 

human health, and (2) promoting ecosystem vitality and sound natural resource management. Derived from a careful review of the environmental literature, these twin goals mirror the 

priorities expressed by policymakers. Environmental health and ecosystem vitality are gauged using sixteen indicators tracked in six well-established policy categories: Environmental 

Health, Air Quality, Water Resources, Productive Natural Resources, Biodiversity and Habitat, and Sustainable Energy. The Pilot 2006 EPI utilizes a proximity-to-target methodology 

focused on a core set of environmental outcomes linked to policy goals for which every government should be held accountable. By identifying specific targets and measuring how close each 

country comes to them, the EPI provides a factual foundation for policy analysis and a context for evaluating performance. Issue-by-issue and aggregate rankings facilitate cross-country 

comparisons both globally and within relevant peer groups. The EPI is the result of collaboration among the Yale Center for Environmental Law and Policy (YCELP), Columbia University 

Center for International Earth Science Information Network (CIESIN), World Economic Forum (WEF), and the Joint Research Centre (JRC), European Commission.
Estimates of plant standing crop, plant productions & consumption by herbivores
Estimates of plant standing crop, plant productions & consumption by herbivores
ABSTRACT: Estimates of plant standing crop, plant productions & consumption by herbivores
PnET (Photosynthetic / EvapoTranspiration model) is a nested series of models of carbon, water, and nitrogen dynamics in forest ecosystems. The models can be used to predict transient responses in net primary production (NPP), carbon and water balances, net nitrogen (N) mineralization and nitrification and N leaching losses, resulting from changes in climate, N deposition, tropospheric ozone and land use as well as variation in species composition. The models have been developed and validated in the Northeastern U.S. at both the site and grid level (to 1-km resolution) at the Complex Systems Research Center, University of New Hampshire, by John Aber and colleagues.
PnET (Photosynthetic / EvapoTranspiration model) is a nested series of models of carbon, water, and nitrogen dynamics in forest ecosystems. The models can be used to predict transient responses in net primary production (NPP), carbon and water balances, net nitrogen (N) mineralization and nitrification and N leaching losses, resulting from changes in climate, N deposition, tropospheric ozone and land use as well as variation in species composition. The models have been developed and validated in the Northeastern U.S. at both the site and grid level (to 1-km resolution) at the Complex Systems Research Center, University of New Hampshire, by John Aber and colleagues.
ABSTRACT: PnET (Photosynthetic / EvapoTranspiration model) is a nested series of models of carbon, water, and nitrogen dynamics in forest ecosystems. The models can be used to predict transient responses in net primary production (NPP), carbon and water balances, net nitrogen (N) mineralization and nitrification and N leaching losses, resulting from changes in climate, N deposition, tropospheric ozone and land use as well as variation in species composition. The models have been developed and validated in the Northeastern U.S. at both the site and grid level (to 1-km resolution) at the Complex Systems Research Center, University of New Hampshire, by John Aber and colleagues.
Datasets from a Major Crop Modeling Study contain projected country and regional changes in grain crop yields due to global climate change. Equilibrium and transient scenarios output from General Circulation Models (GCMs) with three levels of farmer adaptations to climate change were utilized to generate crop yield estimates of wheat, rice, coarse grains (barley and maize), and protein feed (soybean) at 125 agricultural sites representing major world agricultural regions. Projected yields at the agricultural sites were aggregated to major trading regions, and fed into the Basic Linked Systems (BLS) global trade model to produce country and regional estimates of potential price increases, food shortages, and risk of hunger. These datasets are produced by the Goddard Institute for Space Studies (GISS) and are distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).
Datasets from a Major Crop Modeling Study contain projected country and regional changes in grain crop yields due to global climate change. Equilibrium and transient scenarios output from General Circulation Models (GCMs) with three levels of farmer adaptations to climate change were utilized to generate crop yield estimates of wheat, rice, coarse grains (barley and maize), and protein feed (soybean) at 125 agricultural sites representing major world agricultural regions. Projected yields at the agricultural sites were aggregated to major trading regions, and fed into the Basic Linked Systems (BLS) global trade model to produce country and regional estimates of potential price increases, food shortages, and risk of hunger. These datasets are produced by the Goddard Institute for Space Studies (GISS) and are distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).
Datasets from a Major Crop Modeling Study contain projected country and regional changes in grain crop yields due to global climate change. Equilibrium and transient scenarios output from General Circulation Models (GCMs) with three levels of farmer adaptations to climate change were utilized to generate crop yield estimates of wheat, rice, coarse grains (barley and maize), and protein feed (soybean) at 125 agricultural sites representing major world agricultural regions. Projected yields at the agricultural sites were aggregated to major trading regions, and fed into the Basic Linked Systems (BLS) global trade model to produce country and regional estimates of potential price increases, food shortages, and risk of hunger. These datasets are produced by the Goddard Institute for Space Studies (GISS) and are distributed by the Columbia University Center for International Earth Science Information Network (CIESIN). (Suggested Usage: To provide an assessment of potential climate change impacts on world crop production, including quantitative estimates of yield changes of major food.)
The Global Subnational Infant Mortality Rates consists of estimates of infant mortality rates 

for the year 2000. The infant mortality rate for a region or country is defined as the number of children who die before their first 

birthday for every 1,000 live births. The data products include a shapefile (vector data) of rates, grids (raster data) of rates (per 

10,000 live births in order to preserve precision in integer format), births (the rate denominator) and deaths (the rate numerator), 

and a tabular dataset of the same and associated data. Over 10,000 national and subnational units are represented in the tabular and 

grid datasets, while the shapefile uses approximately 1,000 units in order to protect the intellectual property of source datasets 

for Brazil, China, and Mexico. This dataset is produced by the Columbia University Center for International Earth Science Information 

Network (CIESIN).
The Global Subnational Infant Mortality Rates consists of estimates of infant mortality rates 

for the year 2000. The infant mortality rate for a region or country is defined as the number of children who die before their first 

birthday for every 1,000 live births. The data products include a shapefile (vector data) of rates, grids (raster data) of rates (per 

10,000 live births in order to preserve precision in integer format), births (the rate denominator) and deaths (the rate numerator), 

and a tabular dataset of the same and associated data. Over 10,000 national and subnational units are represented in the tabular and 

grid datasets, while the shapefile uses approximately 1,000 units in order to protect the intellectual property of source datasets 

for Brazil, China, and Mexico. This dataset is produced by the Columbia University Center for International Earth Science Information 

Network (CIESIN).
The Global Subnational Infant Mortality Rates consists of estimates of infant mortality rates 

for the year 2000. The infant mortality rate for a region or country is defined as the number of children who die before their first 

birthday for every 1,000 live births. The data products include a shapefile (vector data) of rates, grids (raster data) of rates (per 

10,000 live births in order to preserve precision in integer format), births (the rate denominator) and deaths (the rate numerator), 

and a tabular dataset of the same and associated data. Over 10,000 national and subnational units are represented in the tabular and 

grid datasets, while the shapefile uses approximately 1,000 units in order to protect the intellectual property of source datasets 

for Brazil, China, and Mexico. This dataset is produced by the Columbia University Center for International Earth Science Information 

Network (CIESIN).
The Global Subnational Prevalence of Child Malnutrition dataset consists of estimates of the 

percentage of children with weight-for-age z-scores that are more than two standard deviations below the median of the NCHS/CDC/WHO 

International Reference Population. Data are reported for the most recent year with subnational information available at the time of 

development. The data products include a shapefile (vector data) of percentage rates, grids (raster data) of rates (per thousand in 

order to preserve precision in integer format), the number of children under five (the rate denominator), and the number of 

underweight children under five (the rate numerator), and a tabular dataset of the same and associated data. This dataset is produced 

by the Columbia University Center for International Earth Science Information Network (CIESIN).
The Global Subnational Prevalence of Child Malnutrition dataset consists of estimates of the 

percentage of children with weight-for-age z-scores that are more than two standard deviations below the median of the NCHS/CDC/WHO 

International Reference Population. Data are reported for the most recent year with subnational information available at the time of 

development. The data products include a shapefile (vector data) of percentage rates, grids (raster data) of rates (per thousand in 

order to preserve precision in integer format), the number of children under five (the rate denominator), and the number of 

underweight children under five (the rate numerator), and a tabular dataset of the same and associated data. This dataset is produced 

by the Columbia University Center for International Earth Science Information Network (CIESIN).
The Global Subnational Prevalence of Child Malnutrition dataset consists of estimates of the 

percentage of children with weight-for-age z-scores that are more than two standard deviations below the median of the NCHS/CDC/WHO 

International Reference Population. Data are reported for the most recent year with subnational information available at the time of 

development. The data products include a shapefile (vector data) of percentage rates, grids (raster data) of rates (per thousand in 

order to preserve precision in integer format), the number of children under five (the rate denominator), and the number of 

underweight children under five (the rate numerator), and a tabular dataset of the same and associated data. This dataset is produced 

by the Columbia University Center for International Earth Science Information Network (CIESIN).
The Poverty and Food Security Case Studies dataset consists of small area estimates of poverty, inequality, food security and related measures for subnational administrative units in Mexico, Ecuador, Kenya, Malawi, Bangladesh, Sri Lanka, Nigeria and Vietnam. These data come from country level cases studies that examine poverty and food security from a spatial analysis perspective. The data products include shapefiles (vector data) and tabular datasets (csv format). Additionally, a data catalog (xls format) containing detailed information and documentation is provided. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) and the Centro Internacional de Agricultura Tropical (CIAT). The dataset was originally produced by CIAT, International Maize and Wheat Improvement Center (CIMMYT), International Livestock Research Institute (ILRI), International Food Policy Research Institute (IFPRI), International Rice Research Institute (IRRI), International Water Management Institute (IWMI), and International Institute for Tropical Agriculture (IITA).
The Poverty and Food Security Case Studies dataset consists of small area estimates of poverty, inequality, food security and related measures for subnational administrative units in Mexico, Ecuador, Kenya, Malawi, Bangladesh, Sri Lanka, Nigeria and Vietnam. These data come from country level cases studies that examine poverty and food security from a spatial analysis perspective. The data products include shapefiles (vector data) and tabular datasets (csv format). Additionally, a data catalog (xls format) containing detailed information and documentation is provided. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) and the Centro Internacional de Agricultura Tropical (CIAT). The dataset was originally produced by CIAT, International Maize and Wheat Improvement Center (CIMMYT), International Livestock Research Institute (ILRI), International Food Policy Research Institute (IFPRI), International Rice Research Institute (IRRI), International Water Management Institute (IWMI), and International Institute for Tropical Agriculture (IITA).
The Poverty and Food Security Case Studies dataset consists of small area estimates of poverty, inequality, food security and related measures for subnational administrative units in Mexico, Ecuador, Kenya, Malawi, Bangladesh, Sri Lanka, Nigeria and Vietnam. These data come from country level cases studies that examine poverty and food security from a spatial analysis perspective. The data products include shapefiles (vector data) and tabular datasets (csv format). Additionally, a data catalog (xls format) containing detailed information and documentation is provided. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) and the Centro Internacional de Agricultura Tropical (CIAT). The dataset was originally produced by CIAT, International Maize and Wheat Improvement Center (CIMMYT), International Livestock Research Institute (ILRI), International Food Policy Research Institute (IFPRI), International Rice Research Institute (IRRI), International Water Management Institute (IWMI), and International Institute for Tropical Agriculture (IITA). (Suggested Usage: To provide high spatial resolution subnational estimates of poverty and food security for use by a wide community for interdisciplinary studies of poverty, food security and the environment.)
The Small Area Estimates of Poverty and Inequality dataset consists of consumption-based 

poverty, inequality and related measures for subnational administrative units in approximately twenty countries throughout Africa, 

Asia, Europe, North America, and South America. These measures are derived on a country-level basis from a combination of census and 

survey data using small area estimates techniques. The collection of data have been compiled, integrated and standardized from the 

original data providers into a unified spatially referenced and globally consistent dataset. The data products include shapefiles 

(vector data), tabular datasets (csv format), and centroids (csv file with latitude and longitude of a geographic unit and associated 

poverty estimates). Additionally, a data catalog (xls format) containing detailed information and documentation is provided. This 

dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration 

with a number of external data providers.
The Small Area Estimates of Poverty and Inequality dataset consists of consumption-based 

poverty, inequality and related measures for subnational administrative units in approximately twenty countries throughout Africa, 

Asia, Europe, North America, and South America. These measures are derived on a country-level basis from a combination of census and 

survey data using small area estimates techniques. The collection of data have been compiled, integrated and standardized from the 

original data providers into a unified spatially referenced and globally consistent dataset. The data products include shapefiles 

(vector data), tabular datasets (csv format), and centroids (csv file with latitude and longitude of a geographic unit and associated 

poverty estimates). Additionally, a data catalog (xls format) containing detailed information and documentation is provided. This 

dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration 

with a number of external data providers.
The Small Area Estimates of Poverty and Inequality dataset consists of consumption-based 

poverty, inequality and related measures for subnational administrative units in approximately twenty countries throughout Africa, 

Asia, Europe, North America, and South America. These measures are derived on a country-level basis from a combination of census and 

survey data using small area estimates techniques. The collection of data have been compiled, integrated and standardized from the 

original data providers into a unified spatially referenced and globally consistent dataset. The data products include shapefiles 

(vector data), tabular datasets (csv format), and centroids (csv file with latitude and longitude of a geographic unit and associated 

poverty estimates). Additionally, a data catalog (xls format) containing detailed information and documentation is provided. This 

dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration 

with a number of external data providers.
The Unsatisfied Basic Needs dataset consists of measures of household level wellbeing and access to basic needs (such as adequate housing conditions, water, electricity, sanitation, education, and employment) for subnational administrative units of numerous countries in Latin America: Argentina, Bolivia, Brazil, Colombia, Ecuador, El Salvador, Guatemala, Honduras, Mexico, Nicaragua, and Peru. The data products include shapefiles (vector data) and tabular datasets (csv format). Additionally, a data catalog (xls format) containing detailed information and documentation is provided. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN), Economic Commission for Latin America and the Caribbean (ECLAC), and Centro Internacional de Agricultura Tropical (CIAT).
The Unsatisfied Basic Needs dataset consists of measures of household level wellbeing and access to basic needs (such as adequate housing conditions, water, electricity, sanitation, education, and employment) for subnational administrative units of numerous countries in Latin America: Argentina, Bolivia, Brazil, Colombia, Ecuador, El Salvador, Guatemala, Honduras, Mexico, Nicaragua, and Peru. The data products include shapefiles (vector data) and tabular datasets (csv format). Additionally, a data catalog (xls format) containing detailed information and documentation is provided. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN), Economic Commission for Latin America and the Caribbean (ECLAC), and Centro Internacional de Agricultura Tropical (CIAT).
The Unsatisfied Basic Needs dataset consists of measures of household level wellbeing and access to basic needs (such as adequate housing conditions, water, electricity, sanitation, education, and employment) for subnational administrative units of numerous countries in Latin America: Argentina, Bolivia, Brazil, Colombia, Ecuador, El Salvador, Guatemala, Honduras, Mexico, Nicaragua, and Peru. The data products include shapefiles (vector data) and tabular datasets (csv format). Additionally, a data catalog (xls format) containing detailed information and documentation is provided. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN), Economic Commission for Latin America and the Caribbean (ECLAC), and Centro Internacional de Agricultura Tropical (CIAT). (Suggested Usage: To provide high spatial resolution subnational estimates of unsatisfied basic needs for use by a wide community for interdisciplinary studies of poverty, inequality and the environment.)
The Pre-IceBridge LVIS L0 Raw Ranges (BLVIS0) data set contains laser altimeter measurements over Greenland taken from the NASA Land, Vegetation, and Ice Sensor (LVIS).  The data are stored in binary format, along with airborne georeference files, and are available for 20 and 21 September 2007 via FTP.
The Pre-IceBridge LVIS L0 Raw Ranges (BLVIS0) data set contains laser altimeter measurements over Greenland taken from the NASA Land, Vegetation, and Ice Sensor (LVIS).  The data are stored in binary format, along with airborne georeference files, and are available for 20 and 21 September 2007 via FTP.
The Pre-IceBridge LVIS L0 Raw Ranges (BLVIS0) data set contains laser altimeter measurements over Greenland taken from the NASA Land, Vegetation, and Ice Sensor (LVIS).  The data are stored in binary format, along with airborne georeference files, and are available for 20 and 21 September 2007 via FTP.
The NASA Pre-IceBridge MCoRDS Level-2 Ice Thickness (BRMCR2) data set contains depth sounder measurements over Greenland and Antarctica taken from the Multichannel Coherent Radar Depth Sounder (MCoRDS). The data set includes measurements for elevation, surface, bottom, and thickness. The data are stored in Comma Separated Value (CSV) text format with associated Keyhole Markup Language (KML) files, and are available for periodic campaigns from 23 June 1993 to 23 September 2007 via FTP.
The NASA Pre-IceBridge MCoRDS Level-2 Ice Thickness (BRMCR2) data set contains depth sounder measurements over Greenland and Antarctica taken from the Multichannel Coherent Radar Depth Sounder (MCoRDS). The data set includes measurements for elevation, surface, bottom, and thickness. The data are stored in Comma Separated Value (CSV) text format with associated Keyhole Markup Language (KML) files, and are available for periodic campaigns from 23 June 1993 to 23 September 2007 via FTP.
The NASA Pre-IceBridge MCoRDS Level-2 Ice Thickness (BRMCR2) data set contains depth sounder measurements over Greenland and Antarctica taken from the Multichannel Coherent Radar Depth Sounder (MCoRDS). The data set includes measurements for elevation, surface, bottom, and thickness. The data are stored in Comma Separated Value (CSV) text format with associated Keyhole Markup Language (KML) files, and are available for periodic campaigns from 23 June 1993 to 23 September 2007 via FTP.
The Amazonian Region Micrometeorological Experiment (ARME) data contain micrometeorological data (climate, interception of  precipitation, mircometeorology and soil moisture) on the elements of the energy balance and evapotranspiration for the Amazonian forest. ASCII text data files for each of the four data types have been zipped toghether. One of the many scientific findings of this experiment was that tropical forest does not experience water stress due to the lack of precipitation, during periods when evapotranspiration is at the potential rate (Shuttleworth, 1988). ARME data types include climate (meteorological), interception of precipitation, micrometeorology, and soil moisture. These data are described in the Data Description section below.
The Amazonian Region Micrometeorological Experiment (ARME) data contain micrometeorological data (climate, interception of  precipitation, mircometeorology and soil moisture) on the elements of the energy balance and evapotranspiration for the Amazonian forest. ASCII text data files for each of the four data types have been zipped toghether. One of the many scientific findings of this experiment was that tropical forest does not experience water stress due to the lack of precipitation, during periods when evapotranspiration is at the potential rate (Shuttleworth, 1988). ARME data types include climate (meteorological), interception of precipitation, micrometeorology, and soil moisture. These data are described in the Data Description section below.
ABSTRACT: The Amazonian Region Micrometeorological Experiment (ARME) data contain micrometeorological data (climate, interception of  precipitation, mircometeorology and soil moisture) on the elements of the energy balance and evapotranspiration for the Amazonian forest. ASCII text data files for each of the four data types have been zipped toghether. One of the many scientific findings of this experiment was that tropical forest does not experience water stress due to the lack of precipitation, during periods when evapotranspiration is at the potential rate (Shuttleworth, 1988). ARME data types include climate (meteorological), interception of precipitation, micrometeorology, and soil moisture. These data are described in the Data Description section below.
The data set presents the principal data from the Anglo-BRazilian Amazonian Climate Observation Study (ABRACOS) (Gash et al. 1996) and provides quality controlled information from five of the study topics considered by the project in five zipped files containing ASCII text data.     Micrometeorology     Climate     Carbon Dioxide and Water Vapor     Plant Physiology     Soil MoistureThe objectives of the ABRACOS were to monitor Amazonian climate and improve the understanding of the consequences of deforestation, and to provide data for the calibration and validation of GCMs and GCM sub-models of Amazonian forest and post- deforestation pasture (Shuttleworth et al, 1991).Three areas where instrumented, each with different soils, dry season intensities and deforestation densities (Gash et al,1996). In each area an automatic weather station and soil moisture measurement equipment were installed: in a primary forest site and in nearby cattle pasture, for monitoring climate and soil status throughout the year. Additional intensive periods of study (or Missions), of varying duration, were operated at these sites: for calibration purposes, to understand the physical processes relevant to each site, and for detailed comparisons between sites.These data were collected under the ABRACOS project and made available by the UK Institute of Hydrology and the Instituto Nacional de Pesquisas Espaciais (Brazil). ABRACOS is a collaboration between the Agencia Brasileira de Cooperacao and the UK Overseas Development Administration.The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD_ROMs (Marengo and Victoria, 1998) but are now archived individually.
The data set presents the principal data from the Anglo-BRazilian Amazonian Climate Observation Study (ABRACOS) (Gash et al. 1996) and provides quality controlled information from five of the study topics considered by the project in five zipped files containing ASCII text data.     Micrometeorology     Climate     Carbon Dioxide and Water Vapor     Plant Physiology     Soil MoistureThe objectives of the ABRACOS were to monitor Amazonian climate and improve the understanding of the consequences of deforestation, and to provide data for the calibration and validation of GCMs and GCM sub-models of Amazonian forest and post- deforestation pasture (Shuttleworth et al, 1991).Three areas where instrumented, each with different soils, dry season intensities and deforestation densities (Gash et al,1996). In each area an automatic weather station and soil moisture measurement equipment were installed: in a primary forest site and in nearby cattle pasture, for monitoring climate and soil status throughout the year. Additional intensive periods of study (or Missions), of varying duration, were operated at these sites: for calibration purposes, to understand the physical processes relevant to each site, and for detailed comparisons between sites.These data were collected under the ABRACOS project and made available by the UK Institute of Hydrology and the Instituto Nacional de Pesquisas Espaciais (Brazil). ABRACOS is a collaboration between the Agencia Brasileira de Cooperacao and the UK Overseas Development Administration.The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD_ROMs (Marengo and Victoria, 1998) but are now archived individually.
ABSTRACT: The data set presents the principal data from the Anglo-BRazilian Amazonian Climate Observation Study (ABRACOS) (Gash et al. 1996) and provides quality controlled information from five of the study topics considered by the project in five zipped files containing ASCII text data.     Micrometeorology     Climate     Carbon Dioxide and Water Vapor     Plant Physiology     Soil MoistureThe objectives of the ABRACOS were to monitor Amazonian climate and improve the understanding of the consequences of deforestation, and to provide data for the calibration and validation of GCMs and GCM sub-models of Amazonian forest and post- deforestation pasture (Shuttleworth et al, 1991).Three areas where instrumented, each with different soils, dry season intensities and deforestation densities (Gash et al,1996). In each area an automatic weather station and soil moisture measurement equipment were installed: in a primary forest site and in nearby cattle pasture, for monitoring climate and soil status throughout the year. Additional intensive periods of study (or Missions), of varying duration, were operated at these sites: for calibration purposes, to understand the physical processes relevant to each site, and for detailed comparisons between sites.These data were collected under the ABRACOS project and made available by the UK Institute of Hydrology and the Instituto Nacional de Pesquisas Espaciais (Brazil). ABRACOS is a collaboration between the Agencia Brasileira de Cooperacao and the UK Overseas Development Administration.The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD_ROMs (Marengo and Victoria, 1998) but are now archived individually.
Surface parameter digital maps of vegetation, soil, and topography were obtained for Rondonia, Brazil, covering the 5x5 degree region bounded by 13-8 degrees S and 65-60 degrees W. Numerical maps of the natural landscape structure were prepared by digitizing existing 1:1,000,000 maps. Satellite data give information about the most recent modifications of the surface due to human activities. This mapping work was the first step of a mesoscale meteorological modeling program (Calvet et al., 1997) in forested and deforested Southwestern Amazonia (Rondonia, Brazil). This work was performed in the framework of a research program (CABARE) supported by the European Union, CEC Environment Program.Data are provided in ArcGIS ArcInfo grid ascii format for the following surface parameters:Elevation of terrain of the Rondonia region (altitude.txt)LANDSAT-derived vegetation classification of the Rondonia region in 1993-1994 (classify.txt)Soil classification of the Rondonia region (soil.txt)Sand and Clay of the Rondonia region (sand.txt and clay.txt)Vegetation classification of the Rondonia region from RADAMBRASIL (Macedo et al., 1979) (vegetation.txt)
Surface parameter digital maps of vegetation, soil, and topography were obtained for Rondonia, Brazil, covering the 5x5 degree region bounded by 13-8 degrees S and 65-60 degrees W. Numerical maps of the natural landscape structure were prepared by digitizing existing 1:1,000,000 maps. Satellite data give information about the most recent modifications of the surface due to human activities. This mapping work was the first step of a mesoscale meteorological modeling program (Calvet et al., 1997) in forested and deforested Southwestern Amazonia (Rondonia, Brazil). This work was performed in the framework of a research program (CABARE) supported by the European Union, CEC Environment Program.Data are provided in ArcGIS ArcInfo grid ascii format for the following surface parameters:Elevation of terrain of the Rondonia region (altitude.txt)LANDSAT-derived vegetation classification of the Rondonia region in 1993-1994 (classify.txt)Soil classification of the Rondonia region (soil.txt)Sand and Clay of the Rondonia region (sand.txt and clay.txt)Vegetation classification of the Rondonia region from RADAMBRASIL (Macedo et al., 1979) (vegetation.txt)
ABSTRACT: Surface parameter digital maps of vegetation, soil, and topography were obtained for Rondonia, Brazil, covering the 5x5 degree region bounded by 13-8 degrees S and 65-60 degrees W. Numerical maps of the natural landscape structure were prepared by digitizing existing 1:1,000,000 maps. Satellite data give information about the most recent modifications of the surface due to human activities. This mapping work was the first step of a mesoscale meteorological modeling program (Calvet et al., 1997) in forested and deforested Southwestern Amazonia (Rondonia, Brazil). This work was performed in the framework of a research program (CABARE) supported by the European Union, CEC Environment Program.Data are provided in ArcGIS ArcInfo grid ascii format for the following surface parameters:Elevation of terrain of the Rondonia region (altitude.txt)LANDSAT-derived vegetation classification of the Rondonia region in 1993-1994 (classify.txt)Soil classification of the Rondonia region (soil.txt)Sand and Clay of the Rondonia region (sand.txt and clay.txt)Vegetation classification of the Rondonia region from RADAMBRASIL (Macedo et al., 1979) (vegetation.txt)
The objective of CAMREX (Carbon in the Amazon River Experiment) project which was conducted from 1982 through 1991, was been to define by mass balances and direct measurements those processes which control the distribution of bioactive elements (C, N, P and O) in the mainstem of the Amazon River in Brazil. The CAMREX dataset represents a time series unique in its length and detail for very large river systems. The central sampling strategy has been to obtain representative flux-weighted water samples for comprehensive chemical analysis and to make rate measurements over 18 different sites within a 2000 km reach of the Brazilian Amazon mainstem, including major intervening tributaries. Samples have now been collected on 13 different cruises (1982-1991) during contrasting hydrographic stages. Data or images are provided for (1) water chemistry, (2) daily river discharge, (3) monthly estimates for 1989 of some model drivers and structure including NPP, Evapotranspiration, Precipitation, Temperature, and AVHRR data, (4) daily precipitation, and (5) air temperature anomalies.The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD_ROMs (Marengo and Victoria, 1998) but are now archived individually.
The objective of CAMREX (Carbon in the Amazon River Experiment) project which was conducted from 1982 through 1991, was been to define by mass balances and direct measurements those processes which control the distribution of bioactive elements (C, N, P and O) in the mainstem of the Amazon River in Brazil. The CAMREX dataset represents a time series unique in its length and detail for very large river systems. The central sampling strategy has been to obtain representative flux-weighted water samples for comprehensive chemical analysis and to make rate measurements over 18 different sites within a 2000 km reach of the Brazilian Amazon mainstem, including major intervening tributaries. Samples have now been collected on 13 different cruises (1982-1991) during contrasting hydrographic stages. Data or images are provided for (1) water chemistry, (2) daily river discharge, (3) monthly estimates for 1989 of some model drivers and structure including NPP, Evapotranspiration, Precipitation, Temperature, and AVHRR data, (4) daily precipitation, and (5) air temperature anomalies.The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD_ROMs (Marengo and Victoria, 1998) but are now archived individually.
ABSTRACT: The objective of CAMREX (Carbon in the Amazon River Experiment) project which was conducted from 1982 through 1991, was been to define by mass balances and direct measurements those processes which control the distribution of bioactive elements (C, N, P and O) in the mainstem of the Amazon River in Brazil. The CAMREX dataset represents a time series unique in its length and detail for very large river systems. The central sampling strategy has been to obtain representative flux-weighted water samples for comprehensive chemical analysis and to make rate measurements over 18 different sites within a 2000 km reach of the Brazilian Amazon mainstem, including major intervening tributaries. Samples have now been collected on 13 different cruises (1982-1991) during contrasting hydrographic stages. Data or images are provided for (1) water chemistry, (2) daily river discharge, (3) monthly estimates for 1989 of some model drivers and structure including NPP, Evapotranspiration, Precipitation, Temperature, and AVHRR data, (4) daily precipitation, and (5) air temperature anomalies.The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD_ROMs (Marengo and Victoria, 1998) but are now archived individually.
The FLUAMAZON Experiment data set includes meteorological data collected with radiosondes to examine the moisture flux from the northern coast of South America (near the mouth of the Amazon River) into central Amazonia.  The measurements were collected from November 23, to December 21, 1989 during the period of transition between the dry and humid seasons in the region.   Some of the studies performed with data from FLUAMAZON were related to the atmospheric thermodynamic structure over Amazonia.  During FLUAMAZON, radiosonde measurements were made simultaneously in five different locations: Alcantara, Belem, Oiapoque, Manaus, and Alta Floresta. ASCII text data files for each location have been compiled and compressed into site-specific zipped files.
The FLUAMAZON Experiment data set includes meteorological data collected with radiosondes to examine the moisture flux from the northern coast of South America (near the mouth of the Amazon River) into central Amazonia.  The measurements were collected from November 23, to December 21, 1989 during the period of transition between the dry and humid seasons in the region.   Some of the studies performed with data from FLUAMAZON were related to the atmospheric thermodynamic structure over Amazonia.  During FLUAMAZON, radiosonde measurements were made simultaneously in five different locations: Alcantara, Belem, Oiapoque, Manaus, and Alta Floresta. ASCII text data files for each location have been compiled and compressed into site-specific zipped files.
ABSTRACT: The FLUAMAZON Experiment data set includes meteorological data collected with radiosondes to examine the moisture flux from the northern coast of South America (near the mouth of the Amazon River) into central Amazonia.  The measurements were collected from November 23, to December 21, 1989 during the period of transition between the dry and humid seasons in the region.   Some of the studies performed with data from FLUAMAZON were related to the atmospheric thermodynamic structure over Amazonia.  During FLUAMAZON, radiosonde measurements were made simultaneously in five different locations: Alcantara, Belem, Oiapoque, Manaus, and Alta Floresta. ASCII text data files for each location have been compiled and compressed into site-specific zipped files.
This data set contains hydrology, soils, radiation, cloud, and vegetation data from the International Satellite Land Surface Climatology Project (ISLSCP) Initiative I. The ISLSCP data sets should provide LBA modelers with many of the fields required to describe boundary conditions, and to initialize and force a wide range of land-biosphere-atmosphere models.  All of the data have been processed to the same global spatial resolution (1 deg. x 1 deg.), using the same land/sea mask and steps have been taken to ensure spatial and temporal continuity of the data. The data sets cover the period 1987-1988 at 1-month time resolution for most of the seasonally varying quantities. For this pre-LBA data set, the ISLSCP I data are provided as global coverages. The companion file illustrations were subset over the LBA study area, from 35-85 deg. W longitude and 20 deg. S to 10 deg. N latitude, as shown in Figure 1.The data files and illustrations are organized into the three groups listed below.1. Hydrology and Soils2. Radiation and Clouds3. VegetationThe data within each of these areas were acquired from a variety of sources including model output, satellites, and ground measurements. The individual data sets were provided in a variety of forms. In some cases, this required the data publication team to regrid and reformat data sets and in others to produce monthly averages from finer resolution data. The specific processing for each data set is detailed in the documentation. The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD-ROMs (Marengo and Victoria, 1998) but are now archived individually.
This data set contains hydrology, soils, radiation, cloud, and vegetation data from the International Satellite Land Surface Climatology Project (ISLSCP) Initiative I. The ISLSCP data sets should provide LBA modelers with many of the fields required to describe boundary conditions, and to initialize and force a wide range of land-biosphere-atmosphere models.  All of the data have been processed to the same global spatial resolution (1 deg. x 1 deg.), using the same land/sea mask and steps have been taken to ensure spatial and temporal continuity of the data. The data sets cover the period 1987-1988 at 1-month time resolution for most of the seasonally varying quantities. For this pre-LBA data set, the ISLSCP I data are provided as global coverages. The companion file illustrations were subset over the LBA study area, from 35-85 deg. W longitude and 20 deg. S to 10 deg. N latitude, as shown in Figure 1.The data files and illustrations are organized into the three groups listed below.1. Hydrology and Soils2. Radiation and Clouds3. VegetationThe data within each of these areas were acquired from a variety of sources including model output, satellites, and ground measurements. The individual data sets were provided in a variety of forms. In some cases, this required the data publication team to regrid and reformat data sets and in others to produce monthly averages from finer resolution data. The specific processing for each data set is detailed in the documentation. The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD-ROMs (Marengo and Victoria, 1998) but are now archived individually.
ABSTRACT: This data set contains hydrology, soils, radiation, cloud, and vegetation data from the International Satellite Land Surface Climatology Project (ISLSCP) Initiative I. The ISLSCP data sets should provide LBA modelers with many of the fields required to describe boundary conditions, and to initialize and force a wide range of land-biosphere-atmosphere models.  All of the data have been processed to the same global spatial resolution (1 deg. x 1 deg.), using the same land/sea mask and steps have been taken to ensure spatial and temporal continuity of the data. The data sets cover the period 1987-1988 at 1-month time resolution for most of the seasonally varying quantities. For this pre-LBA data set, the ISLSCP I data are provided as global coverages. The companion file illustrations were subset over the LBA study area, from 35-85 deg. W longitude and 20 deg. S to 10 deg. N latitude, as shown in Figure 1.The data files and illustrations are organized into the three groups listed below.1. Hydrology and Soils2. Radiation and Clouds3. VegetationThe data within each of these areas were acquired from a variety of sources including model output, satellites, and ground measurements. The individual data sets were provided in a variety of forms. In some cases, this required the data publication team to regrid and reformat data sets and in others to produce monthly averages from finer resolution data. The specific processing for each data set is detailed in the documentation. The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD-ROMs (Marengo and Victoria, 1998) but are now archived individually.
The RADAMBRASIL project extensively mapped the Amazon soils using a combination of soil pit information, aerial photography, and geologic maps.  During the project, 1,153 soil pits, distributed basin-wide, were described and sampled by horizon and analyzed for texture and chemical composition.This data set, which consists of one file in ASCII comma separated format, contains soil profile descriptions for locations throughout Brazilian Amazonia. These data are based on RADAMBRASIL surveys from the Soil Profiles of Amazonia (Source: IPAM, Brazil/WHRC, USA). See the companion file Soil Profiles of Amazonia.pdf
The RADAMBRASIL project extensively mapped the Amazon soils using a combination of soil pit information, aerial photography, and geologic maps.  During the project, 1,153 soil pits, distributed basin-wide, were described and sampled by horizon and analyzed for texture and chemical composition.This data set, which consists of one file in ASCII comma separated format, contains soil profile descriptions for locations throughout Brazilian Amazonia. These data are based on RADAMBRASIL surveys from the Soil Profiles of Amazonia (Source: IPAM, Brazil/WHRC, USA). See the companion file Soil Profiles of Amazonia.pdf
ABSTRACT: The RADAMBRASIL project extensively mapped the Amazon soils using a combination of soil pit information, aerial photography, and geologic maps.  During the project, 1,153 soil pits, distributed basin-wide, were described and sampled by horizon and analyzed for texture and chemical composition.This data set, which consists of one file in ASCII comma separated format, contains soil profile descriptions for locations throughout Brazilian Amazonia. These data are based on RADAMBRASIL surveys from the Soil Profiles of Amazonia (Source: IPAM, Brazil/WHRC, USA). See the companion file Soil Profiles of Amazonia.pdf
This data set contains meteorological data, reanalysis data, remote sensing images, and data on atmospheric composition collected during the Smoke, Clouds, and Radiation - Brazil (SCAR-B) experiment. The SCAR-B examined the effects of biomass burning on atmospheric processes with four primary goals: (1) improving techniques for remote sensing of these process from space, (2) obtain measurements of the rates of emissions of trace gases and particles from biomass burning, (3) observe the influence of atmospheric processes on the emission products was to obtain measurements of the rates of emissions of trace gases and particles from biomass burning, and to observe the influence of atmospheric processes on these emission products, and (4) characterize the physical and radiative properties of smoke particles from biomass burning. SCAR-B was conducted during biomass burning in the cerrado ( dry savannah) and Amazonia rainforest to understand the influence of land cover type on smoke, clouds, and radiation.Selected archived data and images from SCAR-B are described in the Data Description section table. Extensive background information on SCAR-B is provided following the Data Description.The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD_ROMs (Marengo and Victoria, 1998) but are now archived individually.
This data set contains meteorological data, reanalysis data, remote sensing images, and data on atmospheric composition collected during the Smoke, Clouds, and Radiation - Brazil (SCAR-B) experiment. The SCAR-B examined the effects of biomass burning on atmospheric processes with four primary goals: (1) improving techniques for remote sensing of these process from space, (2) obtain measurements of the rates of emissions of trace gases and particles from biomass burning, (3) observe the influence of atmospheric processes on the emission products was to obtain measurements of the rates of emissions of trace gases and particles from biomass burning, and to observe the influence of atmospheric processes on these emission products, and (4) characterize the physical and radiative properties of smoke particles from biomass burning. SCAR-B was conducted during biomass burning in the cerrado ( dry savannah) and Amazonia rainforest to understand the influence of land cover type on smoke, clouds, and radiation.Selected archived data and images from SCAR-B are described in the Data Description section table. Extensive background information on SCAR-B is provided following the Data Description.The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD_ROMs (Marengo and Victoria, 1998) but are now archived individually.
ABSTRACT: This data set contains meteorological data, reanalysis data, remote sensing images, and data on atmospheric composition collected during the Smoke, Clouds, and Radiation - Brazil (SCAR-B) experiment. The SCAR-B examined the effects of biomass burning on atmospheric processes with four primary goals: (1) improving techniques for remote sensing of these process from space, (2) obtain measurements of the rates of emissions of trace gases and particles from biomass burning, (3) observe the influence of atmospheric processes on the emission products was to obtain measurements of the rates of emissions of trace gases and particles from biomass burning, and to observe the influence of atmospheric processes on these emission products, and (4) characterize the physical and radiative properties of smoke particles from biomass burning. SCAR-B was conducted during biomass burning in the cerrado ( dry savannah) and Amazonia rainforest to understand the influence of land cover type on smoke, clouds, and radiation.Selected archived data and images from SCAR-B are described in the Data Description section table. Extensive background information on SCAR-B is provided following the Data Description.The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD_ROMs (Marengo and Victoria, 1998) but are now archived individually.
This data set contains atmospheric chemistry and meteorological data from the NASA Transport and Atmospheric Chemistry near the Equator-Atlantic (TRACE-A) field study. The NASA TRACE-A study took place in August 1992 to determine the cause and source of high concentrations of ozone that accumulate over the Atlantic ocean between southern Africa and South America during the months of August through October. The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD-ROMs (Marengo and Victoria, 1998) but have now been archived individually.
This data set contains atmospheric chemistry and meteorological data from the NASA Transport and Atmospheric Chemistry near the Equator-Atlantic (TRACE-A) field study. The NASA TRACE-A study took place in August 1992 to determine the cause and source of high concentrations of ozone that accumulate over the Atlantic ocean between southern Africa and South America during the months of August through October. The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD-ROMs (Marengo and Victoria, 1998) but have now been archived individually.
ABSTRACT: This data set contains atmospheric chemistry and meteorological data from the NASA Transport and Atmospheric Chemistry near the Equator-Atlantic (TRACE-A) field study. The NASA TRACE-A study took place in August 1992 to determine the cause and source of high concentrations of ozone that accumulate over the Atlantic ocean between southern Africa and South America during the months of August through October. The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD-ROMs (Marengo and Victoria, 1998) but have now been archived individually.
As part of the Prototype Validation Experiment (PROVE) at the Jornada Experimental Range, GOES-8 images were collected every 30 minutes for 15 days overlapping the 10 days of the experiment (May 20-30, 1997). The images pertain to a 3- by 3-degree area centered on the transitional tower site at Jornada LTER (latitude: 32 deg 36' 24.6 N; longitude: -106 deg 52' 12.4 W).
As part of the Prototype Validation Experiment (PROVE) at the Jornada Experimental Range, GOES-8 images were collected every 30 minutes for 15 days overlapping the 10 days of the experiment (May 20-30, 1997). The images pertain to a 3- by 3-degree area centered on the transitional tower site at Jornada LTER (latitude: 32 deg 36' 24.6 N; longitude: -106 deg 52' 12.4 W).
ABSTRACT: As part of the Prototype Validation Experiment (PROVE) at the Jornada Experimental Range, GOES-8 images were collected every 30 minutes for 15 days overlapping the 10 days of the experiment (May 20-30, 1997). The images pertain to a 3- by 3-degree area centered on the transitional tower site at Jornada LTER (latitude: 32 deg 36' 24.6 N; longitude: -106 deg 52' 12.4 W).
Field measurement of shrubland ecological properties is important for both site monitoring and validation of remote-sensing information. During the PROVE exercise on May 20-30, 1997, we calculated plot-level plant area index, leaf area index, total fractional cover, and green fractional cover.
Field measurement of shrubland ecological properties is important for both site monitoring and validation of remote-sensing information. During the PROVE exercise on May 20-30, 1997, we calculated plot-level plant area index, leaf area index, total fractional cover, and green fractional cover.
ABSTRACT: Field measurement of shrubland ecological properties is important for both site monitoring and validation of remote-sensing information. During the PROVE exercise on May 20-30, 1997, we calculated plot-level plant area index, leaf area index, total fractional cover, and green fractional cover.
This study utilized low flying, aircraft-based radiometers for optical characterization of top-of-the-canopy reflectance at Jornada Experimental Range in New Mexico during the Prototype Validation Experiment (PROVE) in May 1997. The objective was to examine the usefulness of low-flying aircraft for Moderate Resolution Imaging Spectroradiometer (MODIS) validation of land products.
This study utilized low flying, aircraft-based radiometers for optical characterization of top-of-the-canopy reflectance at Jornada Experimental Range in New Mexico during the Prototype Validation Experiment (PROVE) in May 1997. The objective was to examine the usefulness of low-flying aircraft for Moderate Resolution Imaging Spectroradiometer (MODIS) validation of land products.
ABSTRACT: This study utilized low flying, aircraft-based radiometers for optical characterization of top-of-the-canopy reflectance at Jornada Experimental Range in New Mexico during the Prototype Validation Experiment (PROVE) in May 1997. The objective was to examine the usefulness of low-flying aircraft for Moderate Resolution Imaging Spectroradiometer (MODIS) validation of land products.
The objective of this study was to determine the spatial variations in field measurements of broadband albedo as related to the ground cover and under a range of solar conditions during the Prototype Validation Exercise (PROVE) at the Jornada Experimental Range in New Mexico on May 20-30, 1997.
The objective of this study was to determine the spatial variations in field measurements of broadband albedo as related to the ground cover and under a range of solar conditions during the Prototype Validation Exercise (PROVE) at the Jornada Experimental Range in New Mexico on May 20-30, 1997.
ABSTRACT: The objective of this study was to determine the spatial variations in field measurements of broadband albedo as related to the ground cover and under a range of solar conditions during the Prototype Validation Exercise (PROVE) at the Jornada Experimental Range in New Mexico on May 20-30, 1997.
Directional reflected radiation was measured over plots representing selected canopy components (shrubs and individual plants, bare sand, and background) at the Jornada Experiment Range site near Las Cruces, New Mexico, during the Prototype Validation Experiment (PROVE) in May 1997.
Directional reflected radiation was measured over plots representing selected canopy components (shrubs and individual plants, bare sand, and background) at the Jornada Experiment Range site near Las Cruces, New Mexico, during the Prototype Validation Experiment (PROVE) in May 1997.
ABSTRACT: Directional reflected radiation was measured over plots representing selected canopy components (shrubs and individual plants, bare sand, and background) at the Jornada Experiment Range site near Las Cruces, New Mexico, during the Prototype Validation Experiment (PROVE) in May 1997.
Public Use Microdata Samples (PUMS) are computer-accessible files containing records for a sample of housing units, with information on the characteristics of each housing unit and the people in it for 1940-1990. Within the limits of sample size and geographical detail, these files allow users to prepare virtually any tabulations they require. Each datafile is documented in a codebook containing a data dictionary and supporting appendix information. Electronic versions for the codebooks are only available for the 1980 and 1990 datafiles. Identifying information has been removed to protect the confidentiality of the respondents. PUMS is produced by the United States Census Bureau (USCB) and is distributed by USCB, Inter-university Consortium for Political and Social Research (ICPSR), and Columbia University Center for International Earth Science Information Network (CIESIN).
Public Use Microdata Samples (PUMS) are computer-accessible files containing records for a sample of housing units, with information on the characteristics of each housing unit and the people in it for 1940-1990. Within the limits of sample size and geographical detail, these files allow users to prepare virtually any tabulations they require. Each datafile is documented in a codebook containing a data dictionary and supporting appendix information. Electronic versions for the codebooks are only available for the 1980 and 1990 datafiles. Identifying information has been removed to protect the confidentiality of the respondents. PUMS is produced by the United States Census Bureau (USCB) and is distributed by USCB, Inter-university Consortium for Political and Social Research (ICPSR), and Columbia University Center for International Earth Science Information Network (CIESIN).
Public Use Microdata Samples (PUMS) are computer-accessible files containing records for a sample of housing units, with information on the characteristics of each housing unit and the people in it for 1940-1990. Within the limits of sample size and geographical detail, these files allow users to prepare virtually any tabulations they require. Each datafile is documented in a codebook containing a data dictionary and supporting appendix information. Electronic versions for the codebooks are only available for the 1980 and 1990 datafiles. Identifying information has been removed to protect the confidentiality of the respondents. PUMS is produced by the United States Census Bureau (USCB) and is distributed by USCB, Inter-university Consortium for Political and Social Research (ICPSR), and Columbia University Center for International Earth Science Information Network (CIESIN). (Suggested Usage: To provide US housing and related data for demographic analysis; The samples can be extended to analysis of the whole United States for many purposes. Comparative analysis across different groups is possible using the PUMS data.)
Radarsat-1 Fine Beam Data in ASF Frame Size
Radarsat-1 Fine Beam Data in ASF Frame Size
Radarsat-1 Fine Beam Data in ASF Frame Size
Radarsat-1 Fine Beam Data in ASF Frame Size Beam Modes FN2-FN5
Radarsat-1 Fine Beam Data in ASF Frame Size Beam Modes FN2-FN5
Radarsat-1 Fine Beam Data in ASF Frame Size Beam Modes FN2-FN5
Radarsat-1 Fine Beam Data in ASF Frame Size Beam Modes FN2-FN5 Processed to Level 0
Radarsat-1 Fine Beam Data in ASF Frame Size Beam Modes FN2-FN5 Processed to Level 0
Radarsat-1 Fine Beam Data in ASF Frame Size Beam Modes FN2-FN5 Processed to Level 0
Radarsat-1 Fine Beam Data in ASF Frame Size Processed to Level 0
Radarsat-1 Fine Beam Data in ASF Frame Size Processed to Level 0
Radarsat-1 Fine Beam Data in ASF Frame Size Processed to Level 0
Radarsat-1 Fine Beam Data in ASF Frame Size Processed to Level 1
Radarsat-1 Fine Beam Data in ASF Frame Size Processed to Level 1
Radarsat-1 Fine Beam Data in ASF Frame Size Processed to Level 1
Radarsat-1 Fine Beam Data in Full Swath Format
Radarsat-1 Fine Beam Data in Full Swath Format
Radarsat-1 Fine Beam Data in Full Swath Format
Radarsat-1 High Incidence Data in ASF Frame Size
Radarsat-1 High Incidence Data in ASF Frame Size
Radarsat-1 High Incidence Data in ASF Frame Size
RADARSAT-1 High Incidence Level 0
Radarsat-1 High Incidence Data in ASF Frame Size Processed to Level 0
Radarsat-1 High Incidence Data in ASF Frame Size Processed to Level 0
Radarsat-1 High Incidence Data in ASF Frame Size Processed to Level 1
Radarsat-1 High Incidence Data in ASF Frame Size Processed to Level 1
Radarsat-1 High Incidence Data in ASF Frame Size Processed to Level 1
Radarsat-1 High Incidence Left Looking Data in ASF Frame Size
Radarsat-1 High Incidence Left Looking Data in ASF Frame Size
Radarsat-1 High Incidence Left Looking Data in ASF Frame Size
Radarsat-1 High Incidence Left Looking Data in ASF Frame Size Processed to Level 0
Radarsat-1 High Incidence Left Looking Data in ASF Frame Size Processed to Level 0
Radarsat-1 High Incidence Left Looking Data in ASF Frame Size Processed to Level 0
Radarsat-1 High Incidence Left Looking Data in ASF Frame Size Processed to Level 1
Radarsat-1 High Incidence Left Looking Data in ASF Frame Size Processed to Level 1
Radarsat-1 High Incidence Left Looking Data in ASF Frame Size Processed to Level 1
Radarsat-1 High Incidence Left Looking Data in Full Swath Format
Radarsat-1 High Incidence Left Looking Data in Full Swath Format
Radarsat-1 High Incidence Left Looking Data in Full Swath Format
Radarsat-1 High Incidence Data in Full Swath Format
Radarsat-1 High Incidence Data in Full Swath Format
Radarsat-1 High Incidence Data in Full Swath Format
Radarsat-1 Low Incidence Data in ASF Frame Size
Radarsat-1 Low Incidence Data in ASF Frame Size
Radarsat-1 Low Incidence Data in ASF Frame Size
RADARSAT-1 Low Incidence Level 0
Radarsat-1 Low Incidence Data in ASF Frame Size Processed to Level 0
Radarsat-1 Low Incidence Data in ASF Frame Size Processed to Level 0
RADARSAT-1 Low Incidence Level 1
Radarsat-1 Low Incidence Data in ASF Frame Size Processed to Level 1
Radarsat-1 Low Incidence Data in ASF Frame Size Processed to Level 1
Radarsat-1 Low Incidence Data in Full Swath Format
Radarsat-1 Low Incidence Data in Full Swath Format
Radarsat-1 Low Incidence Data in Full Swath Format
Radarsat-1 ScanSAR Data in ASF Frame Size
Radarsat-1 ScanSAR Data in ASF Frame Size
Radarsat-1 ScanSAR Data in ASF Frame Size
Radarsat-1 ScanSAR Data in ASF Frame Size Processed to Level 1
Radarsat-1 ScanSAR Data in ASF Frame Size Processed to Level 1
Radarsat-1 ScanSAR Data in ASF Frame Size Processed to Level 1
Radarsat-1 ScanSAR Data in Full Swath Format
Radarsat-1 ScanSAR Data in Full Swath Format
Radarsat-1 ScanSAR Data in Full Swath Format
Radarsat-1 Standard Beam Data in ASF Frame Size
Radarsat-1 Standard Beam Data in ASF Frame Size
Radarsat-1 Standard Beam Data in ASF Frame Size
Radarsat-1 Standard Beam Data in ASF Frame Size Processed to Level 0
Radarsat-1 Standard Beam Data in ASF Frame Size Processed to Level 0
Radarsat-1 Standard Beam Data in ASF Frame Size Processed to Level 0
Radarsat-1 Standard Beam Data in ASF Frame Size Processed to Level 1
Radarsat-1 Standard Beam Data in ASF Frame Size Processed to Level 1
Radarsat-1 Standard Beam Data in ASF Frame Size Processed to Level 1
Radarsat-1 Standard Beam Left Looking Data in ASF Frame Size
Radarsat-1 Standard Beam Left Looking Data in ASF Frame Size
Radarsat-1 Standard Beam Left Looking Data in ASF Frame Size
Radarsat-1 Standard Beam Left Looking Data in ASF Frame Size Processed to Level 0
Radarsat-1 Standard Beam Left Looking Data in ASF Frame Size Processed to Level 0
Radarsat-1 Standard Beam Left Looking Data in ASF Frame Size Processed to Level 0
Radarsat-1 Standard Beam Left Looking Data in ASF Frame Size Processed to Level 1
Radarsat-1 Standard Beam Left Looking Data in ASF Frame Size Processed to Level 1
Radarsat-1 Standard Beam Left Looking Data in ASF Frame Size Processed to Level 1
Radarsat-1 Standard Beam Left Looking Data in Full Swath Format
Radarsat-1 Standard Beam Left Looking Data in Full Swath Format
Radarsat-1 Standard Beam Left Looking Data in Full Swath Format
Radarsat-1 Standard Beam Data in Full Swath Format
Radarsat-1 Standard Beam Data in Full Swath Format
Radarsat-1 Standard Beam Data in Full Swath Format
Radarsat-1 Wide Beam Data in ASF Frame Size
Radarsat-1 Wide Beam Data in ASF Frame Size
Radarsat-1 Wide Beam Data in ASF Frame Size
RADARSAT-1 Wide Beam Data Level 0
Radarsat-1 Wide Beam Data in ASF Frame Size Processed to Level 0
Radarsat-1 Wide Beam Data in ASF Frame Size Processed to Level 0
Radarsat-1 Wide Beam Data in Full Swath Format
Radarsat-1 Wide Beam Data in Full Swath Format
Radarsat-1 Wide Beam Data in Full Swath Format
Temperature data from Everest IR thermometer mounted on the helicopter
Temperature data from Everest IR thermometer mounted on the helicopter
ABSTRACT: Temperature data from Everest IR thermometer mounted on the helicopter
Surface temp. measured w/ Everest IRT, multiple angles & Eppley IR Radiometer
Surface temp. measured w/ Everest IRT, multiple angles & Eppley IR Radiometer
ABSTRACT: Surface temp. measured w/ Everest IRT, multiple angles & Eppley IR Radiometer
Surface temperatures collected w/ Everest Infrared Temperature Transducer
Surface temperatures collected w/ Everest Infrared Temperature Transducer
ABSTRACT: Surface temperatures collected w/ Everest Infrared Temperature Transducer
NOAA radiosonde data from the two stations near FIFE
NOAA radiosonde data from the two stations near FIFE
ABSTRACT: NOAA radiosonde data from the two stations near FIFE
Spectral reflectance measurements of flat field targets as reference points representative of pseudo-invariant targets as measured by Spectron SE590 spectrophotometer
Spectral reflectance measurements of flat field targets as reference points representative of pseudo-invariant targets as measured by Spectron SE590 spectrophotometer
ABSTRACT: Spectral reflectance measurements of flat field targets as reference points representative of pseudo-invariant targets as measured by Spectron SE590 spectrophotometer
This dataset is a 15-kilometer resolution land cover map for the land area of the Former Soviet Union. There are sixty land cover classes distinguished in this dataset, of which 38 are forest cover classes.  The data set is useful for stratification of the FSU into general sub-regions of land cover for subsequent study using higher resolution satellite data.
This dataset is a 15-kilometer resolution land cover map for the land area of the Former Soviet Union. There are sixty land cover classes distinguished in this dataset, of which 38 are forest cover classes.  The data set is useful for stratification of the FSU into general sub-regions of land cover for subsequent study using higher resolution satellite data.
ABSTRACT: This dataset is a 15-kilometer resolution land cover map for the land area of the Former Soviet Union. There are sixty land cover classes distinguished in this dataset, of which 38 are forest cover classes.  The data set is useful for stratification of the FSU into general sub-regions of land cover for subsequent study using higher resolution satellite data.
This data set is a 1-kilometer resolution land cover map for the land area of the Primor'ye and Southern Khabarovsk Regions, in the Russian Far East, based on 1990 NOAA AVHRR data. Labeling of land cover classes depended upon the Russian 1990 Forest Cover Map (Garsia, 1990), the analyst's experience with AVHRR data, and Russian data sources. There are eight classes distinguished in this dataset, of which 5 are forest cover classes.The objective of this work was to create a 1-km resolution land cover map of the region of the Far Eastern Siberia based on NOAA AVHRR data which might be used by World Wildlife Fund researchers to aid in the definition of remaining habitats and range for threatened animal species (Stone  and Schlesinger, 1996).
This data set is a 1-kilometer resolution land cover map for the land area of the Primor'ye and Southern Khabarovsk Regions, in the Russian Far East, based on 1990 NOAA AVHRR data. Labeling of land cover classes depended upon the Russian 1990 Forest Cover Map (Garsia, 1990), the analyst's experience with AVHRR data, and Russian data sources. There are eight classes distinguished in this dataset, of which 5 are forest cover classes.The objective of this work was to create a 1-km resolution land cover map of the region of the Far Eastern Siberia based on NOAA AVHRR data which might be used by World Wildlife Fund researchers to aid in the definition of remaining habitats and range for threatened animal species (Stone  and Schlesinger, 1996).
ABSTRACT: This data set is a 1-kilometer resolution land cover map for the land area of the Primor'ye and Southern Khabarovsk Regions, in the Russian Far East, based on 1990 NOAA AVHRR data. Labeling of land cover classes depended upon the Russian 1990 Forest Cover Map (Garsia, 1990), the analyst's experience with AVHRR data, and Russian data sources. There are eight classes distinguished in this dataset, of which 5 are forest cover classes.The objective of this work was to create a 1-km resolution land cover map of the region of the Far Eastern Siberia based on NOAA AVHRR data which might be used by World Wildlife Fund researchers to aid in the definition of remaining habitats and range for threatened animal species (Stone  and Schlesinger, 1996).
This data set is a 1:2.5 million scale forest cover map for the land area of the Former Soviet Union that was completed in 1990 (Garsia 1990). There are forty-five classes distinguished in this data set, of which 38 are forest cover classes. The purpose of this map was to create a generalized and up-to-date map of forest cover for the USSR. This map should not be viewed as a detailed forest cover map but more like an economic forestry map. The most important tree species of a region are highlighted rather than the dominant trees species or tree cover. Very few tree species are defined. In many cases, of course, the dominant and the most important trees species are the same.
This data set is a 1:2.5 million scale forest cover map for the land area of the Former Soviet Union that was completed in 1990 (Garsia 1990). There are forty-five classes distinguished in this data set, of which 38 are forest cover classes. The purpose of this map was to create a generalized and up-to-date map of forest cover for the USSR. This map should not be viewed as a detailed forest cover map but more like an economic forestry map. The most important tree species of a region are highlighted rather than the dominant trees species or tree cover. Very few tree species are defined. In many cases, of course, the dominant and the most important trees species are the same.
ABSTRACT: This data set is a 1:2.5 million scale forest cover map for the land area of the Former Soviet Union that was completed in 1990 (Garsia 1990). There are forty-five classes distinguished in this data set, of which 38 are forest cover classes. The purpose of this map was to create a generalized and up-to-date map of forest cover for the USSR. This map should not be viewed as a detailed forest cover map but more like an economic forestry map. The most important tree species of a region are highlighted rather than the dominant trees species or tree cover. Very few tree species are defined. In many cases, of course, the dominant and the most important trees species are the same.
This data set is a 1:15 million scale forest cover map for the land area of the Former Soviet Union. Twenty-two land cover classes are distinguished, of which 20 are forest cover classes. The source data were acquired by map digitization from the Atlas of Forests of the USSR (Anon. 1973) which was likely based on forestry data from the 1940s, 1950s and 1960s.
This data set is a 1:15 million scale forest cover map for the land area of the Former Soviet Union. Twenty-two land cover classes are distinguished, of which 20 are forest cover classes. The source data were acquired by map digitization from the Atlas of Forests of the USSR (Anon. 1973) which was likely based on forestry data from the 1940s, 1950s and 1960s.
ABSTRACT: This data set is a 1:15 million scale forest cover map for the land area of the Former Soviet Union. Twenty-two land cover classes are distinguished, of which 20 are forest cover classes. The source data were acquired by map digitization from the Atlas of Forests of the USSR (Anon. 1973) which was likely based on forestry data from the 1940s, 1950s and 1960s.
This dataset is a 1:2 million scale forest cover map for the land area of the Krasnoyarsk Region, Russia. Thirty-two land cover classes are distinguished. These data were digitized from maps of the Atlas of Forests of the USSR (Anon. 1973). This map should not be strictly viewed as a map of actual forest cover, but rather as a map of dominant tree species. Very few tree species are defined, and generally, each polygon and color has only one tree species assigned to it.
This dataset is a 1:2 million scale forest cover map for the land area of the Krasnoyarsk Region, Russia. Thirty-two land cover classes are distinguished. These data were digitized from maps of the Atlas of Forests of the USSR (Anon. 1973). This map should not be strictly viewed as a map of actual forest cover, but rather as a map of dominant tree species. Very few tree species are defined, and generally, each polygon and color has only one tree species assigned to it.
ABSTRACT: This dataset is a 1:2 million scale forest cover map for the land area of the Krasnoyarsk Region, Russia. Thirty-two land cover classes are distinguished. These data were digitized from maps of the Atlas of Forests of the USSR (Anon. 1973). This map should not be strictly viewed as a map of actual forest cover, but rather as a map of dominant tree species. Very few tree species are defined, and generally, each polygon and color has only one tree species assigned to it.
This data set is made up of images of forest fires in Russia from NOAA's Operational Significant Event Imagery (OSEI) archive (http://www.osei.noaa.gov) for the 1998 and 1999 seasons. OSEI fire products include multichannel color composite imagery of wildfire and controlled burn events. Products in this event group show fire, smoke, and hotspots (FSMHS) from the fires.
This data set is made up of images of forest fires in Russia from NOAA's Operational Significant Event Imagery (OSEI) archive (http://www.osei.noaa.gov) for the 1998 and 1999 seasons. OSEI fire products include multichannel color composite imagery of wildfire and controlled burn events. Products in this event group show fire, smoke, and hotspots (FSMHS) from the fires.
ABSTRACT: This data set is made up of images of forest fires in Russia from NOAA's Operational Significant Event Imagery (OSEI) archive (http://www.osei.noaa.gov) for the 1998 and 1999 seasons. OSEI fire products include multichannel color composite imagery of wildfire and controlled burn events. Products in this event group show fire, smoke, and hotspots (FSMHS) from the fires.
This dataset is derived from Russian forest fire imagery from the National Forest Fire Center of Russia archive that was collected by the Center of Remote Sensing, Institute of Solar Terrestrial Physics, Irkutsk, Russia for the 1998 and 1999 fire seasons. The data are vector (point) maps of forest fire locations (1998 and 1999) in ArcView shapefile format.
This dataset is derived from Russian forest fire imagery from the National Forest Fire Center of Russia archive that was collected by the Center of Remote Sensing, Institute of Solar Terrestrial Physics, Irkutsk, Russia for the 1998 and 1999 fire seasons. The data are vector (point) maps of forest fire locations (1998 and 1999) in ArcView shapefile format.
ABSTRACT: This dataset is derived from Russian forest fire imagery from the National Forest Fire Center of Russia archive that was collected by the Center of Remote Sensing, Institute of Solar Terrestrial Physics, Irkutsk, Russia for the 1998 and 1999 fire seasons. The data are vector (point) maps of forest fire locations (1998 and 1999) in ArcView shapefile format.
This dataset is a 1:15 million scale map of forest stand carbon for the land area of Russia (Stone et al., 2000). The objective was to create a first approximation of the forest stand carbon reserves of Russia. Data include continuous estimates of forest stand carbon in units of metric tons/ha of carbon (C) and categorized data depicting rages of forest stand carbon. The resulting maps show forest stand C by region in a spatially explicit form. It is the first map of its type for Russia of which we are aware. The mapped C represents 96% of the total of 26.1 Pg forest tree stand C described by Alexeyev and Birdsey (1994) and Alexeyev et al. (1995). Of the remaining 4%, nearly half was due to bushes, which were assumed not to be mapped in the 1973 forest cover map.The source data for the forest stand carbon map were acquired by map digitization from the Atlas of Forests for the Soviet Union (State Committee on Forests, 1973) and spatial application and arithmetic manipulation of carbon storage data from Alexeyev and Birdsey (1998).
This dataset is a 1:15 million scale map of forest stand carbon for the land area of Russia (Stone et al., 2000). The objective was to create a first approximation of the forest stand carbon reserves of Russia. Data include continuous estimates of forest stand carbon in units of metric tons/ha of carbon (C) and categorized data depicting rages of forest stand carbon. The resulting maps show forest stand C by region in a spatially explicit form. It is the first map of its type for Russia of which we are aware. The mapped C represents 96% of the total of 26.1 Pg forest tree stand C described by Alexeyev and Birdsey (1994) and Alexeyev et al. (1995). Of the remaining 4%, nearly half was due to bushes, which were assumed not to be mapped in the 1973 forest cover map.The source data for the forest stand carbon map were acquired by map digitization from the Atlas of Forests for the Soviet Union (State Committee on Forests, 1973) and spatial application and arithmetic manipulation of carbon storage data from Alexeyev and Birdsey (1998).
ABSTRACT: This dataset is a 1:15 million scale map of forest stand carbon for the land area of Russia (Stone et al., 2000). The objective was to create a first approximation of the forest stand carbon reserves of Russia. Data include continuous estimates of forest stand carbon in units of metric tons/ha of carbon (C) and categorized data depicting rages of forest stand carbon. The resulting maps show forest stand C by region in a spatially explicit form. It is the first map of its type for Russia of which we are aware. The mapped C represents 96% of the total of 26.1 Pg forest tree stand C described by Alexeyev and Birdsey (1994) and Alexeyev et al. (1995). Of the remaining 4%, nearly half was due to bushes, which were assumed not to be mapped in the 1973 forest cover map.The source data for the forest stand carbon map were acquired by map digitization from the Atlas of Forests for the Soviet Union (State Committee on Forests, 1973) and spatial application and arithmetic manipulation of carbon storage data from Alexeyev and Birdsey (1998).
This data set is the Former Soviet Union (FSU) portion of the Generalized World Forest Map (WCMC, 1998), a 1-kilometer resolution generalized forest cover map for the land area of the Former Soviet Union. There are five forest classes in the original global generalized map. Only two of those classes were distinguished in the geographical portion comprising the FSU.
This data set is the Former Soviet Union (FSU) portion of the Generalized World Forest Map (WCMC, 1998), a 1-kilometer resolution generalized forest cover map for the land area of the Former Soviet Union. There are five forest classes in the original global generalized map. Only two of those classes were distinguished in the geographical portion comprising the FSU.
ABSTRACT: This data set is the Former Soviet Union (FSU) portion of the Generalized World Forest Map (WCMC, 1998), a 1-kilometer resolution generalized forest cover map for the land area of the Former Soviet Union. There are five forest classes in the original global generalized map. Only two of those classes were distinguished in the geographical portion comprising the FSU.
This data set consists of roads, drainage, railroads, utilities, and population center information in readily usable vector format for the land area of the Former Soviet Union. The purpose of this dataset was to create a completely intact vector layer which could be readily used to aid in mapping efforts for the area of the FSU. These five vector data layers were assembled from the Digital Chart of the World (DCW), 1993. Individual record attributes were stored for population centers only. Vector maps for the FSU are in ArcView shapefile format.
This data set consists of roads, drainage, railroads, utilities, and population center information in readily usable vector format for the land area of the Former Soviet Union. The purpose of this dataset was to create a completely intact vector layer which could be readily used to aid in mapping efforts for the area of the FSU. These five vector data layers were assembled from the Digital Chart of the World (DCW), 1993. Individual record attributes were stored for population centers only. Vector maps for the FSU are in ArcView shapefile format.
ABSTRACT: This data set consists of roads, drainage, railroads, utilities, and population center information in readily usable vector format for the land area of the Former Soviet Union. The purpose of this dataset was to create a completely intact vector layer which could be readily used to aid in mapping efforts for the area of the FSU. These five vector data layers were assembled from the Digital Chart of the World (DCW), 1993. Individual record attributes were stored for population centers only. Vector maps for the FSU are in ArcView shapefile format.
This data set of state and regional boundaries was derived from the 1:3 million scale administrative boundaries (ESRI, 1998) for the land area of the Former Soviet Union. There are 162 administrative regions distinguished in this data set.  The vector map of state and regional boundaries for the FSU is in ArcView shapefile format.
This data set of state and regional boundaries was derived from the 1:3 million scale administrative boundaries (ESRI, 1998) for the land area of the Former Soviet Union. There are 162 administrative regions distinguished in this data set.  The vector map of state and regional boundaries for the FSU is in ArcView shapefile format.
ABSTRACT: This data set of state and regional boundaries was derived from the 1:3 million scale administrative boundaries (ESRI, 1998) for the land area of the Former Soviet Union. There are 162 administrative regions distinguished in this data set.  The vector map of state and regional boundaries for the FSU is in ArcView shapefile format.
This dataset is a 1:4 million scale vegetation map for the land area of the Former Soviet Union. Three hundred seventy-three cover classes are distinguished, of which nearly 145 are forest cover-related classes. Stone and Schlesinger (1993) digitized the map Vegetation of the Soviet Union, 1990 (Institute of Geography, 1990).
This dataset is a 1:4 million scale vegetation map for the land area of the Former Soviet Union. Three hundred seventy-three cover classes are distinguished, of which nearly 145 are forest cover-related classes. Stone and Schlesinger (1993) digitized the map Vegetation of the Soviet Union, 1990 (Institute of Geography, 1990).
ABSTRACT: This dataset is a 1:4 million scale vegetation map for the land area of the Former Soviet Union. Three hundred seventy-three cover classes are distinguished, of which nearly 145 are forest cover-related classes. Stone and Schlesinger (1993) digitized the map Vegetation of the Soviet Union, 1990 (Institute of Geography, 1990).
Plant root biomass data where grazing height/frequency were simulated by mowing
Plant root biomass data where grazing height/frequency were simulated by mowing
ABSTRACT: Plant root biomass data where grazing height/frequency were simulated by mowing
The RSS Monthly 1-deg Microwave Total Precipitable Water netCDF dataset provides 1 degree gridded data for the monthly means of total precipitable water, a 20 year climatology file, and a cumulative file with data from 1988 to the current month.  This includes the anomalies for global mean precipitable water over Ice Free Oceans (60S to 60N) and the tropical mean for 20S to 20N.  Satellite information used in calculating the means is included for the SSMI (8, 10, 11, 13, 14, 15) and SSMIS (16, 17), AQUA10 and Windsat(Coriolis).  This dataset contains both netCDF3 and netCDF4 formatted files.
The RSS Monthly 1-deg Microwave Total Precipitable Water netCDF dataset provides 1 degree gridded data for the monthly means of total precipitable water, a 20 year climatology file, and a cumulative file with data from 1988 to the current month.  This includes the anomalies for global mean precipitable water over Ice Free Oceans (60S to 60N) and the tropical mean for 20S to 20N.  Satellite information used in calculating the means is included for the SSMI (8, 10, 11, 13, 14, 15) and SSMIS (16, 17), AQUA10 and Windsat(Coriolis).  This dataset contains both netCDF3 and netCDF4 formatted files.
The RSS Monthly 1-deg Microwave Total Precipitable Water netCDF dataset provides 1 degree gridded data for the monthly means of total precipitable water, a 20 year climatology file, and a cumulative file with data from 1988 to the current month.  This includes the anomalies for global mean precipitable water over Ice Free Oceans (60S to 60N) and the tropical mean for 20S to 20N.  Satellite information used in calculating the means is included for the SSMI (8, 10, 11, 13, 14, 15) and SSMIS (16, 17), AQUA10 and Windsat(Coriolis).  This dataset contains both netCDF3 and netCDF4 formatted files.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
This dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program.  Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed (at 10 meters), water vapor, cloud water, and rain rate.  The SSMIS data have been carefully intercalibrated on the brightness temperature level with the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values.  This algorithm is a product of 20 years of refinements, improvements, and verifications.  The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite.  The netCDF SSMI/SSMIS collection will be available for F8, F10, F11, F13, F14, F15, F16, F17 for each temporal aggregation: daily, 3-day, weekly and monthly.
A new method is used to generate spatial estimates of monthly averaged biomass burned area and spatial and temporal estimates of trace gas and aerosol emissions from open fires in southern Africa. Global burned area data for the year 2000 (GBA2000) supplemented with the Along Track Scanning Radiometer (ATSR) fire count data are employed to quantify the area burned at 1-km resolution by using a fractional vegetation cover map derived from satellite observations.
A new method is used to generate spatial estimates of monthly averaged biomass burned area and spatial and temporal estimates of trace gas and aerosol emissions from open fires in southern Africa. Global burned area data for the year 2000 (GBA2000) supplemented with the Along Track Scanning Radiometer (ATSR) fire count data are employed to quantify the area burned at 1-km resolution by using a fractional vegetation cover map derived from satellite observations.
ABSTRACT: A new method is used to generate spatial estimates of monthly averaged biomass burned area and spatial and temporal estimates of trace gas and aerosol emissions from open fires in southern Africa. Global burned area data for the year 2000 (GBA2000) supplemented with the Along Track Scanning Radiometer (ATSR) fire count data are employed to quantify the area burned at 1-km resolution by using a fractional vegetation cover map derived from satellite observations.
AERONET (AErosol RObotic NETwork) is an optical ground-based aerosol monitoring network and data archive system. AERONET measurements of the column-integrated aerosol optical properties in the southern Africa region were made by sun-sky radiometers at several sites in August-September 2000 as a part of the SAFARI 2000 dry season aircraft campaign. AERONET is supported by NASA's Earth Observing System and expanded by federation with many non-NASA institutions. The network hardware consists of identical automatic sun-sky scanning spectral radiometers owned by national agencies and universities. Data from this collaboration provides globally-distributed near-real-time observations of aerosol spectral optical depths, aerosol size distributions, and precipitable water in diverse aerosol regimes.
AERONET (AErosol RObotic NETwork) is an optical ground-based aerosol monitoring network and data archive system. AERONET measurements of the column-integrated aerosol optical properties in the southern Africa region were made by sun-sky radiometers at several sites in August-September 2000 as a part of the SAFARI 2000 dry season aircraft campaign. AERONET is supported by NASA's Earth Observing System and expanded by federation with many non-NASA institutions. The network hardware consists of identical automatic sun-sky scanning spectral radiometers owned by national agencies and universities. Data from this collaboration provides globally-distributed near-real-time observations of aerosol spectral optical depths, aerosol size distributions, and precipitable water in diverse aerosol regimes.
ABSTRACT: AERONET (AErosol RObotic NETwork) is an optical ground-based aerosol monitoring network and data archive system. AERONET measurements of the column-integrated aerosol optical properties in the southern Africa region were made by sun-sky radiometers at several sites in August-September 2000 as a part of the SAFARI 2000 dry season aircraft campaign. AERONET is supported by NASA's Earth Observing System and expanded by federation with many non-NASA institutions. The network hardware consists of identical automatic sun-sky scanning spectral radiometers owned by national agencies and universities. Data from this collaboration provides globally-distributed near-real-time observations of aerosol spectral optical depths, aerosol size distributions, and precipitable water in diverse aerosol regimes.
This data set contains monthly mean values of diffuse irradiance fraction [f(Ediff), or ratio of diffuse-to-total irradiance] at ground level for a 30-degree solar zenith angle and in seven spectral bands (MODIS bands 1-7) as well broadband visible (400-700 nm), near-infrared (700-3000 nm) and shortwave (400-3000 nm). Values are provided for eight SAFARI 2000 core sites, including Ghanzi/Okwa River Crossing, Maun (Main and Floodplain Towers), Pandamatenga, and Tshane, Botswana; Skukuza, South Africa; Etosha National Park, Namibia; and Mongu, Zambia. The fractions were estimated with the 6S radiative transfer model, given the mean aerosol optical depth (AOT) values from AERONET sunphotometer measurements. Where sunphotometers were not deployed at a SAFARI 2000 core site, the nearest neighbor sunphotometer data were used. A rough estimate of the likely spatial extrapolation error is provided. These data can be used to estimate typical surface albedo (blue sky conditions) from the theoretical black-sky and white-sky albedo values provided in the MODIS albedo product (MOD43), as well as in other applications.Data for all eight sites are contained in one ASCII file, in csv format. The data file provides the ratio of diffuse (atmospherically-scattered) irradiance to total irradiance, both at ground level, for the eight sites in southern Africa. Mean values are provided for each of 12 months in 10 spectral bands between 0.4 and 4.0 microns, computed for a 30-degree solar zenith angle.  The native resolution of the AERONET sunphotometer data varies, but is typically less than 1 hour. Information about the site location, IGBP classification, and nearest AERONET sunphotometer site is also provided.
This data set contains monthly mean values of diffuse irradiance fraction [f(Ediff), or ratio of diffuse-to-total irradiance] at ground level for a 30-degree solar zenith angle and in seven spectral bands (MODIS bands 1-7) as well broadband visible (400-700 nm), near-infrared (700-3000 nm) and shortwave (400-3000 nm). Values are provided for eight SAFARI 2000 core sites, including Ghanzi/Okwa River Crossing, Maun (Main and Floodplain Towers), Pandamatenga, and Tshane, Botswana; Skukuza, South Africa; Etosha National Park, Namibia; and Mongu, Zambia. The fractions were estimated with the 6S radiative transfer model, given the mean aerosol optical depth (AOT) values from AERONET sunphotometer measurements. Where sunphotometers were not deployed at a SAFARI 2000 core site, the nearest neighbor sunphotometer data were used. A rough estimate of the likely spatial extrapolation error is provided. These data can be used to estimate typical surface albedo (blue sky conditions) from the theoretical black-sky and white-sky albedo values provided in the MODIS albedo product (MOD43), as well as in other applications.Data for all eight sites are contained in one ASCII file, in csv format. The data file provides the ratio of diffuse (atmospherically-scattered) irradiance to total irradiance, both at ground level, for the eight sites in southern Africa. Mean values are provided for each of 12 months in 10 spectral bands between 0.4 and 4.0 microns, computed for a 30-degree solar zenith angle.  The native resolution of the AERONET sunphotometer data varies, but is typically less than 1 hour. Information about the site location, IGBP classification, and nearest AERONET sunphotometer site is also provided.
ABSTRACT: This data set contains monthly mean values of diffuse irradiance fraction [f(Ediff), or ratio of diffuse-to-total irradiance] at ground level for a 30-degree solar zenith angle and in seven spectral bands (MODIS bands 1-7) as well broadband visible (400-700 nm), near-infrared (700-3000 nm) and shortwave (400-3000 nm). Values are provided for eight SAFARI 2000 core sites, including Ghanzi/Okwa River Crossing, Maun (Main and Floodplain Towers), Pandamatenga, and Tshane, Botswana; Skukuza, South Africa; Etosha National Park, Namibia; and Mongu, Zambia. The fractions were estimated with the 6S radiative transfer model, given the mean aerosol optical depth (AOT) values from AERONET sunphotometer measurements. Where sunphotometers were not deployed at a SAFARI 2000 core site, the nearest neighbor sunphotometer data were used. A rough estimate of the likely spatial extrapolation error is provided. These data can be used to estimate typical surface albedo (blue sky conditions) from the theoretical black-sky and white-sky albedo values provided in the MODIS albedo product (MOD43), as well as in other applications.Data for all eight sites are contained in one ASCII file, in csv format. The data file provides the ratio of diffuse (atmospherically-scattered) irradiance to total irradiance, both at ground level, for the eight sites in southern Africa. Mean values are provided for each of 12 months in 10 spectral bands between 0.4 and 4.0 microns, computed for a 30-degree solar zenith angle.  The native resolution of the AERONET sunphotometer data varies, but is typically less than 1 hour. Information about the site location, IGBP classification, and nearest AERONET sunphotometer site is also provided.
The Southern African Regional Science Initiative (SAFARI 2000) was conducted in part to investigate the impacts of the large-scale transport and deposition of increasingly anthropogenic emissions on southern African biogeochemical cycling. Aerosol samples from the Mongu site in eastern Zambia were collected and analyzed to identify chemical biomarkers during the SAFARI 2000 dry season field campaign. Total suspended particulate aerosol samples were collected diurnally for a period of two weeks during August and September of 2000.These data include bulk organic carbon, nitrogen and sulfur stable isotopic measurements of total suspended particulate aerosols and gas chromatography/mass spectrometry (GC/MS) analysis of fatty acids extracted from collected aerosols. These data were used to chemically describe temporal variability in aerosol compositions.
The Southern African Regional Science Initiative (SAFARI 2000) was conducted in part to investigate the impacts of the large-scale transport and deposition of increasingly anthropogenic emissions on southern African biogeochemical cycling. Aerosol samples from the Mongu site in eastern Zambia were collected and analyzed to identify chemical biomarkers during the SAFARI 2000 dry season field campaign. Total suspended particulate aerosol samples were collected diurnally for a period of two weeks during August and September of 2000.These data include bulk organic carbon, nitrogen and sulfur stable isotopic measurements of total suspended particulate aerosols and gas chromatography/mass spectrometry (GC/MS) analysis of fatty acids extracted from collected aerosols. These data were used to chemically describe temporal variability in aerosol compositions.
ABSTRACT: The Southern African Regional Science Initiative (SAFARI 2000) was conducted in part to investigate the impacts of the large-scale transport and deposition of increasingly anthropogenic emissions on southern African biogeochemical cycling. Aerosol samples from the Mongu site in eastern Zambia were collected and analyzed to identify chemical biomarkers during the SAFARI 2000 dry season field campaign. Total suspended particulate aerosol samples were collected diurnally for a period of two weeks during August and September of 2000.These data include bulk organic carbon, nitrogen and sulfur stable isotopic measurements of total suspended particulate aerosols and gas chromatography/mass spectrometry (GC/MS) analysis of fatty acids extracted from collected aerosols. These data were used to chemically describe temporal variability in aerosol compositions.
The NASA Ames Airborne Tracking 14-channel Sunphotometer (AATS-14) was operated successfully aboard the University of Washington CV-580 for 24 data flights during the dry-season airborne campaign from August 13 to September 25, 2000. Flights originated from Pietersburg, South Africa; Kasane, Botswana; and Walvis Bay, Namibia. The AATS-14 instrument measures the transmission of the direct solar beam at 14 discrete wavelengths (350-1558 nm) from which we derived spectral aerosol optical depths (AOD) and columnar water vapor (CWV).
The NASA Ames Airborne Tracking 14-channel Sunphotometer (AATS-14) was operated successfully aboard the University of Washington CV-580 for 24 data flights during the dry-season airborne campaign from August 13 to September 25, 2000. Flights originated from Pietersburg, South Africa; Kasane, Botswana; and Walvis Bay, Namibia. The AATS-14 instrument measures the transmission of the direct solar beam at 14 discrete wavelengths (350-1558 nm) from which we derived spectral aerosol optical depths (AOD) and columnar water vapor (CWV).
ABSTRACT: The NASA Ames Airborne Tracking 14-channel Sunphotometer (AATS-14) was operated successfully aboard the University of Washington CV-580 for 24 data flights during the dry-season airborne campaign from August 13 to September 25, 2000. Flights originated from Pietersburg, South Africa; Kasane, Botswana; and Walvis Bay, Namibia. The AATS-14 instrument measures the transmission of the direct solar beam at 14 discrete wavelengths (350-1558 nm) from which we derived spectral aerosol optical depths (AOD) and columnar water vapor (CWV).
A tandem pair of Advanced Land Imager (ALI) and Landsat Enhanced Thematic Mapper Plus (ETM+) scenes covering the same part of Kruger National Park (KNP), South Africa (including the Skukuza tower site and rest camp), were acquired about a minute apart on May 30, 2001. The ALI is one of three instruments aboard NASA's first New Millennium Program Earth Observing 1 (EO-1) satellite. ALI is a technology validation testbed that employs novel wide-angle optics and a highly integrated multispectral and panchromatic spectroradiometer.The tandem pair was produced to evaluate the differences between ALI and ETM+ and determine if technology similar to that of the ALI is suitable for future land imaging that will continue the observations begun by the Landsat satellites in 1972.The ALI and ETM+ images are false color composites combining shortwave infrared, near infrared, and visible wavelengths, displayed as red, green, and blue, respectively. Dense vegetation appears green. The similarity of the images demonstrates the ability of the ALI to produce data comparable to ETM+. Several SAFARI 2000 field campaigns conducted in KNP provided ground-based data needed to evaluate measurements from the satellite sensors.Each band is stored as an individual binary file. A metadata file accompanies each set of ALI and ETM+ band files to document the path and row number, sample and line counts, band file names, and sun azimuth and elevation angles. There is also a calibration parameter file that was used for 1R processing.
A tandem pair of Advanced Land Imager (ALI) and Landsat Enhanced Thematic Mapper Plus (ETM+) scenes covering the same part of Kruger National Park (KNP), South Africa (including the Skukuza tower site and rest camp), were acquired about a minute apart on May 30, 2001. The ALI is one of three instruments aboard NASA's first New Millennium Program Earth Observing 1 (EO-1) satellite. ALI is a technology validation testbed that employs novel wide-angle optics and a highly integrated multispectral and panchromatic spectroradiometer.The tandem pair was produced to evaluate the differences between ALI and ETM+ and determine if technology similar to that of the ALI is suitable for future land imaging that will continue the observations begun by the Landsat satellites in 1972.The ALI and ETM+ images are false color composites combining shortwave infrared, near infrared, and visible wavelengths, displayed as red, green, and blue, respectively. Dense vegetation appears green. The similarity of the images demonstrates the ability of the ALI to produce data comparable to ETM+. Several SAFARI 2000 field campaigns conducted in KNP provided ground-based data needed to evaluate measurements from the satellite sensors.Each band is stored as an individual binary file. A metadata file accompanies each set of ALI and ETM+ band files to document the path and row number, sample and line counts, band file names, and sun azimuth and elevation angles. There is also a calibration parameter file that was used for 1R processing.
ABSTRACT: A tandem pair of Advanced Land Imager (ALI) and Landsat Enhanced Thematic Mapper Plus (ETM+) scenes covering the same part of Kruger National Park (KNP), South Africa (including the Skukuza tower site and rest camp), were acquired about a minute apart on May 30, 2001. The ALI is one of three instruments aboard NASA's first New Millennium Program Earth Observing 1 (EO-1) satellite. ALI is a technology validation testbed that employs novel wide-angle optics and a highly integrated multispectral and panchromatic spectroradiometer.The tandem pair was produced to evaluate the differences between ALI and ETM+ and determine if technology similar to that of the ALI is suitable for future land imaging that will continue the observations begun by the Landsat satellites in 1972.The ALI and ETM+ images are false color composites combining shortwave infrared, near infrared, and visible wavelengths, displayed as red, green, and blue, respectively. Dense vegetation appears green. The similarity of the images demonstrates the ability of the ALI to produce data comparable to ETM+. Several SAFARI 2000 field campaigns conducted in KNP provided ground-based data needed to evaluate measurements from the satellite sensors.Each band is stored as an individual binary file. A metadata file accompanies each set of ALI and ETM+ band files to document the path and row number, sample and line counts, band file names, and sun azimuth and elevation angles. There is also a calibration parameter file that was used for 1R processing.
Safari subset of the database containing global, spatially explicit (0.5-degree grid cells) and temporally explicit (monthly and annual) model output of soil CO2 emissions.  The calculated emissions include the respiration of both soil organisms and plant roots.  A map of the soil emissions is available as a soil.ps and a soil.gif file.
Safari subset of the database containing global, spatially explicit (0.5-degree grid cells) and temporally explicit (monthly and annual) model output of soil CO2 emissions.  The calculated emissions include the respiration of both soil organisms and plant roots.  A map of the soil emissions is available as a soil.ps and a soil.gif file.
ABSTRACT: Safari subset of the database containing global, spatially explicit (0.5-degree grid cells) and temporally explicit (monthly and annual) model output of soil CO2 emissions.  The calculated emissions include the respiration of both soil organisms and plant roots.  A map of the soil emissions is available as a soil.ps and a soil.gif file.
This data set is a compilation of soil respiration rates (g C m-2 yr-1) from terrestrial and wetland ecosystems reported in the literature prior to 1992 subset for the Safari 2000 project. These rates were measured in a variety of ecosystems to examine rates of microbial activity, nutrient turnover, carbon cycling, root dynamics, and a variety of other soil processes.
This data set is a compilation of soil respiration rates (g C m-2 yr-1) from terrestrial and wetland ecosystems reported in the literature prior to 1992 subset for the Safari 2000 project. These rates were measured in a variety of ecosystems to examine rates of microbial activity, nutrient turnover, carbon cycling, root dynamics, and a variety of other soil processes.
ABSTRACT: This data set is a compilation of soil respiration rates (g C m-2 yr-1) from terrestrial and wetland ecosystems reported in the literature prior to 1992 subset for the Safari 2000 project. These rates were measured in a variety of ecosystems to examine rates of microbial activity, nutrient turnover, carbon cycling, root dynamics, and a variety of other soil processes.
The data presented here include the aerosol optical thickness (AOT) and column water vapor measurements taken at sites along the Kalahari Transect using a Microtops sunphotometer. Data were collected every 30 minutes at 4 sites that were visited during the SAFARI 2000 Kalahari Wet Season Campaign between March 3, 2000, and March 18, 2000. AOT values are provided at 340-, 440-, 675-, 870-, and 936-nm wavelengths. An estimate of the Angstrom Coefficient is also provided to allow the estimation of AOT at other wavelengths. The purpose of this data collection was primarily for documentation of the conditions at each site and to aid in the correction of remote sensing data, for validation of Earth Observation System (EOS) products such as MODIS and MISR aerosol products, and for modeling of canopy productivity.
The data presented here include the aerosol optical thickness (AOT) and column water vapor measurements taken at sites along the Kalahari Transect using a Microtops sunphotometer. Data were collected every 30 minutes at 4 sites that were visited during the SAFARI 2000 Kalahari Wet Season Campaign between March 3, 2000, and March 18, 2000. AOT values are provided at 340-, 440-, 675-, 870-, and 936-nm wavelengths. An estimate of the Angstrom Coefficient is also provided to allow the estimation of AOT at other wavelengths. The purpose of this data collection was primarily for documentation of the conditions at each site and to aid in the correction of remote sensing data, for validation of Earth Observation System (EOS) products such as MODIS and MISR aerosol products, and for modeling of canopy productivity.
ABSTRACT: The data presented here include the aerosol optical thickness (AOT) and column water vapor measurements taken at sites along the Kalahari Transect using a Microtops sunphotometer. Data were collected every 30 minutes at 4 sites that were visited during the SAFARI 2000 Kalahari Wet Season Campaign between March 3, 2000, and March 18, 2000. AOT values are provided at 340-, 440-, 675-, 870-, and 936-nm wavelengths. An estimate of the Angstrom Coefficient is also provided to allow the estimation of AOT at other wavelengths. The purpose of this data collection was primarily for documentation of the conditions at each site and to aid in the correction of remote sensing data, for validation of Earth Observation System (EOS) products such as MODIS and MISR aerosol products, and for modeling of canopy productivity.
These data relate to a paper (Morisette et al., 2005) that describes the use of high spatial resolution ASTER data to determine the accuracy of the moderate resolution MODIS active fire product. Our main objective was to develop a methodology to use ASTER data for quantitative evaluation of the MODIS active fire product and to apply it to fires in Southern Africa during the 2001 burning season. We utilize 18 ASTER scenes distributed throughout Southern Africa covering the time period 5 August 2001 to 6 October 2001.
These data relate to a paper (Morisette et al., 2005) that describes the use of high spatial resolution ASTER data to determine the accuracy of the moderate resolution MODIS active fire product. Our main objective was to develop a methodology to use ASTER data for quantitative evaluation of the MODIS active fire product and to apply it to fires in Southern Africa during the 2001 burning season. We utilize 18 ASTER scenes distributed throughout Southern Africa covering the time period 5 August 2001 to 6 October 2001.
ABSTRACT: These data relate to a paper (Morisette et al., 2005) that describes the use of high spatial resolution ASTER data to determine the accuracy of the moderate resolution MODIS active fire product. Our main objective was to develop a methodology to use ASTER data for quantitative evaluation of the MODIS active fire product and to apply it to fires in Southern Africa during the 2001 burning season. We utilize 18 ASTER scenes distributed throughout Southern Africa covering the time period 5 August 2001 to 6 October 2001.
In conjunction with the AERONET (AErosol RObotic NETwork) participation in SAFARI 2000, the USDA Forest Service deployed handheld hazemeters in western Zambia from mid-June to late September 2000. Thirty-eight hazemeters were deployed within a 900 km x 900 km region in western Zambia to verify and study the aerosol properties in MODIS data. The handheld measurements were compared with satellite measurements. The hazemeter data were used to examine the effects of inhomogeneous atmosphere on MODIS aerosol product validation and to investigate the dependency of MODIS aerosol measurements on look angle and ground vegetation.
In conjunction with the AERONET (AErosol RObotic NETwork) participation in SAFARI 2000, the USDA Forest Service deployed handheld hazemeters in western Zambia from mid-June to late September 2000. Thirty-eight hazemeters were deployed within a 900 km x 900 km region in western Zambia to verify and study the aerosol properties in MODIS data. The handheld measurements were compared with satellite measurements. The hazemeter data were used to examine the effects of inhomogeneous atmosphere on MODIS aerosol product validation and to investigate the dependency of MODIS aerosol measurements on look angle and ground vegetation.
ABSTRACT: In conjunction with the AERONET (AErosol RObotic NETwork) participation in SAFARI 2000, the USDA Forest Service deployed handheld hazemeters in western Zambia from mid-June to late September 2000. Thirty-eight hazemeters were deployed within a 900 km x 900 km region in western Zambia to verify and study the aerosol properties in MODIS data. The handheld measurements were compared with satellite measurements. The hazemeter data were used to examine the effects of inhomogeneous atmosphere on MODIS aerosol product validation and to investigate the dependency of MODIS aerosol measurements on look angle and ground vegetation.
The Global Inventory Mapping and Modeling (GIMMS) group at NASA/GSFC provided SAFARI 2000 with remotely sensed satellite data products at the site and regional level. These AVHRR data contain two main sets of data: site extracts of SAFARI core sites (Mongu, Etosha, Kasungu, Maun, Skukuza, and Tshane), and regional 15-day composites from sets of single-day images. These AVHRR data contain four main sets of data:1.5 km daily site extracts of SAFARI core sites (2000)1.5 km 15-day composites of SAFARI core sites (1998-2000)1.5 km 15-day composites of the southern African region (Mar, Sept 2000)6 km 15-day composites of the southern African region (1998-2000)The primary data layers for site extracts and regional composites are fire pixel counts and maximum NDVI. The fire product is different for the daily and for the composited products (see readme file) and a fire product is not included in the 1.5 km regional data set.  NDVI composite-associated data layers for the regional data sets include land surface temperature, reflectance, solar zenith angle, view zenith angle, and relative azimuth angle. NDVI composite-associated data layers for the site extracts include these same variables as well as brightness temperature, fire mask composite, latitude, and longitude. The data are stored in binary image format files. There is a metadata file for each site and date/compositing period, in ASCII format.
The Global Inventory Mapping and Modeling (GIMMS) group at NASA/GSFC provided SAFARI 2000 with remotely sensed satellite data products at the site and regional level. These AVHRR data contain two main sets of data: site extracts of SAFARI core sites (Mongu, Etosha, Kasungu, Maun, Skukuza, and Tshane), and regional 15-day composites from sets of single-day images. These AVHRR data contain four main sets of data:1.5 km daily site extracts of SAFARI core sites (2000)1.5 km 15-day composites of SAFARI core sites (1998-2000)1.5 km 15-day composites of the southern African region (Mar, Sept 2000)6 km 15-day composites of the southern African region (1998-2000)The primary data layers for site extracts and regional composites are fire pixel counts and maximum NDVI. The fire product is different for the daily and for the composited products (see readme file) and a fire product is not included in the 1.5 km regional data set.  NDVI composite-associated data layers for the regional data sets include land surface temperature, reflectance, solar zenith angle, view zenith angle, and relative azimuth angle. NDVI composite-associated data layers for the site extracts include these same variables as well as brightness temperature, fire mask composite, latitude, and longitude. The data are stored in binary image format files. There is a metadata file for each site and date/compositing period, in ASCII format.
ABSTRACT: The Global Inventory Mapping and Modeling (GIMMS) group at NASA/GSFC provided SAFARI 2000 with remotely sensed satellite data products at the site and regional level. These AVHRR data contain two main sets of data: site extracts of SAFARI core sites (Mongu, Etosha, Kasungu, Maun, Skukuza, and Tshane), and regional 15-day composites from sets of single-day images. These AVHRR data contain four main sets of data:1.5 km daily site extracts of SAFARI core sites (2000)1.5 km 15-day composites of SAFARI core sites (1998-2000)1.5 km 15-day composites of the southern African region (Mar, Sept 2000)6 km 15-day composites of the southern African region (1998-2000)The primary data layers for site extracts and regional composites are fire pixel counts and maximum NDVI. The fire product is different for the daily and for the composited products (see readme file) and a fire product is not included in the 1.5 km regional data set.  NDVI composite-associated data layers for the regional data sets include land surface temperature, reflectance, solar zenith angle, view zenith angle, and relative azimuth angle. NDVI composite-associated data layers for the site extracts include these same variables as well as brightness temperature, fire mask composite, latitude, and longitude. The data are stored in binary image format files. There is a metadata file for each site and date/compositing period, in ASCII format.
Land Surface Temperature (LST) is a key indicator of land surface states, and can provide information on surface-atmosphere heat and mass fluxes, vegetation water stress, and soil moisture. A daily, day and night, LST data set for continental Africa, including Madagascar, was derived from Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC; 4 km resolution) data for the 6-year lifetime of the NOAA-14 satellite (from 1995 to 2000) using a modified version of the Global Inventory Mapping and Monitoring System (GIMMS) (Tucker et al., 1994). The data were projected into Albers Equal Area and aggregated to 8 km spatial resolution. The data were cloud-filtered with CLAVR-1 algorithm (Stowe et al., 1999). The LST values were estimated with a split-window technique (Ulivieri et al., 1994) that takes advantage of differential absorption of the thermal infrared signal in bands 4 and 5. The emissivity of the surface was generated using a land cover classification map (Hansen et al., 2000) combined with the FAO soil map of Africa (FAO-UNESCO, 1977) and additional maps of tree, herbaceous, and bare soil percent cover (DeFries et al., 2000). Collateral products include cloud mask, time-of-scan, latitude and longitude, and land/water mask files.The data are in flat binary files. Each data file contains 1152 columns and 1152 rows, in signed integer format (2 bytes), with 8 km by 8 km spatial resolution. A unique map exists for each day and each night of the 6-year NOAA-14 lifetime. The data are best used to infer broad temporal and spatial trends rather than pixel-by-pixel values.
Land Surface Temperature (LST) is a key indicator of land surface states, and can provide information on surface-atmosphere heat and mass fluxes, vegetation water stress, and soil moisture. A daily, day and night, LST data set for continental Africa, including Madagascar, was derived from Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC; 4 km resolution) data for the 6-year lifetime of the NOAA-14 satellite (from 1995 to 2000) using a modified version of the Global Inventory Mapping and Monitoring System (GIMMS) (Tucker et al., 1994). The data were projected into Albers Equal Area and aggregated to 8 km spatial resolution. The data were cloud-filtered with CLAVR-1 algorithm (Stowe et al., 1999). The LST values were estimated with a split-window technique (Ulivieri et al., 1994) that takes advantage of differential absorption of the thermal infrared signal in bands 4 and 5. The emissivity of the surface was generated using a land cover classification map (Hansen et al., 2000) combined with the FAO soil map of Africa (FAO-UNESCO, 1977) and additional maps of tree, herbaceous, and bare soil percent cover (DeFries et al., 2000). Collateral products include cloud mask, time-of-scan, latitude and longitude, and land/water mask files.The data are in flat binary files. Each data file contains 1152 columns and 1152 rows, in signed integer format (2 bytes), with 8 km by 8 km spatial resolution. A unique map exists for each day and each night of the 6-year NOAA-14 lifetime. The data are best used to infer broad temporal and spatial trends rather than pixel-by-pixel values.
ABSTRACT: Land Surface Temperature (LST) is a key indicator of land surface states, and can provide information on surface-atmosphere heat and mass fluxes, vegetation water stress, and soil moisture. A daily, day and night, LST data set for continental Africa, including Madagascar, was derived from Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC; 4 km resolution) data for the 6-year lifetime of the NOAA-14 satellite (from 1995 to 2000) using a modified version of the Global Inventory Mapping and Monitoring System (GIMMS) (Tucker et al., 1994). The data were projected into Albers Equal Area and aggregated to 8 km spatial resolution. The data were cloud-filtered with CLAVR-1 algorithm (Stowe et al., 1999). The LST values were estimated with a split-window technique (Ulivieri et al., 1994) that takes advantage of differential absorption of the thermal infrared signal in bands 4 and 5. The emissivity of the surface was generated using a land cover classification map (Hansen et al., 2000) combined with the FAO soil map of Africa (FAO-UNESCO, 1977) and additional maps of tree, herbaceous, and bare soil percent cover (DeFries et al., 2000). Collateral products include cloud mask, time-of-scan, latitude and longitude, and land/water mask files.The data are in flat binary files. Each data file contains 1152 columns and 1152 rows, in signed integer format (2 bytes), with 8 km by 8 km spatial resolution. A unique map exists for each day and each night of the 6-year NOAA-14 lifetime. The data are best used to infer broad temporal and spatial trends rather than pixel-by-pixel values.
Biomass burning is a major source for gaseous and particulate atmospheric pollution over southern Africa and globally. The purpose of this study was to quantify biomass burning emissions in an attempt to better understand and predict associated environmental impacts. Sixty biomass burning experiments were carried out November 2000-January 2001 in three regions of southern Africa that are representative of major regional ecosystem types: Etosha National Park (Namibia), Kruger National Park (South Africa), and woodland sites in Zambia and Malawi.
Biomass burning is a major source for gaseous and particulate atmospheric pollution over southern Africa and globally. The purpose of this study was to quantify biomass burning emissions in an attempt to better understand and predict associated environmental impacts. Sixty biomass burning experiments were carried out November 2000-January 2001 in three regions of southern Africa that are representative of major regional ecosystem types: Etosha National Park (Namibia), Kruger National Park (South Africa), and woodland sites in Zambia and Malawi.
ABSTRACT: Biomass burning is a major source for gaseous and particulate atmospheric pollution over southern Africa and globally. The purpose of this study was to quantify biomass burning emissions in an attempt to better understand and predict associated environmental impacts. Sixty biomass burning experiments were carried out November 2000-January 2001 in three regions of southern Africa that are representative of major regional ecosystem types: Etosha National Park (Namibia), Kruger National Park (South Africa), and woodland sites in Zambia and Malawi.
The Jet Propulsion Laboratory's (JPL) Portable Apparatus for Rapid Acquisition of Bidirectional Observation of the Land and Atmosphere (PARABOLA), version III, instrument collected radiance data covering both the upwelling and downwelling hemispheres at the Sua Pan salt playa in the Magkadigkadi region of Botswana and at the Skukuza tower site in the Kruger National Park, South Africa between August 25 and October 2, 2000 during in the SAFARI 2000 Dry Season Aircraft Campaign. PARABOLA III is a sphere-scanning radiometer that provides multi-angle measurements of sky and ground radiances on a spherical grid of 5 degrees in the zenith-to-nadir and azimuthal planes in eight spectral channels (444, 551, 581, 650, 860, 944, 1028, and 1650 nm). The experiment was designed to collect data necessary for multi-angle top-of-atmosphere radiance predictions for a vicarious calibration of the Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard the Terra satellite. Four of the PARABOLA channels (444, 551, 650, and 860 nm) are similar to those of the MISR sensor. Measurements were made on cloud-free days of Terra satellite overpasses.Each data file contains radiance counts (ASCII integer values) for 8 bands for each 3-minute data collection. Zenith and azimuth angles are implied by radiance count positions in file. Additional files contain average dark current readings, empirically determined by covering the detectors. The data can be processed to radiance using a series of second order polynomial fit coefficients, provided in the documentation file, and dark current offset. Site-specific auxiliary information is also provided, for each date of PARABOLA data collection.
The Jet Propulsion Laboratory's (JPL) Portable Apparatus for Rapid Acquisition of Bidirectional Observation of the Land and Atmosphere (PARABOLA), version III, instrument collected radiance data covering both the upwelling and downwelling hemispheres at the Sua Pan salt playa in the Magkadigkadi region of Botswana and at the Skukuza tower site in the Kruger National Park, South Africa between August 25 and October 2, 2000 during in the SAFARI 2000 Dry Season Aircraft Campaign. PARABOLA III is a sphere-scanning radiometer that provides multi-angle measurements of sky and ground radiances on a spherical grid of 5 degrees in the zenith-to-nadir and azimuthal planes in eight spectral channels (444, 551, 581, 650, 860, 944, 1028, and 1650 nm). The experiment was designed to collect data necessary for multi-angle top-of-atmosphere radiance predictions for a vicarious calibration of the Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard the Terra satellite. Four of the PARABOLA channels (444, 551, 650, and 860 nm) are similar to those of the MISR sensor. Measurements were made on cloud-free days of Terra satellite overpasses.Each data file contains radiance counts (ASCII integer values) for 8 bands for each 3-minute data collection. Zenith and azimuth angles are implied by radiance count positions in file. Additional files contain average dark current readings, empirically determined by covering the detectors. The data can be processed to radiance using a series of second order polynomial fit coefficients, provided in the documentation file, and dark current offset. Site-specific auxiliary information is also provided, for each date of PARABOLA data collection.
ABSTRACT: The Jet Propulsion Laboratory's (JPL) Portable Apparatus for Rapid Acquisition of Bidirectional Observation of the Land and Atmosphere (PARABOLA), version III, instrument collected radiance data covering both the upwelling and downwelling hemispheres at the Sua Pan salt playa in the Magkadigkadi region of Botswana and at the Skukuza tower site in the Kruger National Park, South Africa between August 25 and October 2, 2000 during in the SAFARI 2000 Dry Season Aircraft Campaign. PARABOLA III is a sphere-scanning radiometer that provides multi-angle measurements of sky and ground radiances on a spherical grid of 5 degrees in the zenith-to-nadir and azimuthal planes in eight spectral channels (444, 551, 581, 650, 860, 944, 1028, and 1650 nm). The experiment was designed to collect data necessary for multi-angle top-of-atmosphere radiance predictions for a vicarious calibration of the Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard the Terra satellite. Four of the PARABOLA channels (444, 551, 650, and 860 nm) are similar to those of the MISR sensor. Measurements were made on cloud-free days of Terra satellite overpasses.Each data file contains radiance counts (ASCII integer values) for 8 bands for each 3-minute data collection. Zenith and azimuth angles are implied by radiance count positions in file. Additional files contain average dark current readings, empirically determined by covering the detectors. The data can be processed to radiance using a series of second order polynomial fit coefficients, provided in the documentation file, and dark current offset. Site-specific auxiliary information is also provided, for each date of PARABOLA data collection.
Biogenic volatile organic compound (BVOC) emissions were measured in a Colophospermum mopane woodland near Maun, Botswana, and in a Combretum-Acacia savanna in Kruger National Park, 13 km from Skukuza, Republic of South Africa (RSA) during the 2001 wet season campaign of SAFARI 2000. In addition, relaxed eddy accumulation (REA) measurements of BVOC fluxes were made on flux towers at these sites, where net CO2 emissions were also measured simultaneously.
Biogenic volatile organic compound (BVOC) emissions were measured in a Colophospermum mopane woodland near Maun, Botswana, and in a Combretum-Acacia savanna in Kruger National Park, 13 km from Skukuza, Republic of South Africa (RSA) during the 2001 wet season campaign of SAFARI 2000. In addition, relaxed eddy accumulation (REA) measurements of BVOC fluxes were made on flux towers at these sites, where net CO2 emissions were also measured simultaneously.
ABSTRACT: Biogenic volatile organic compound (BVOC) emissions were measured in a Colophospermum mopane woodland near Maun, Botswana, and in a Combretum-Acacia savanna in Kruger National Park, 13 km from Skukuza, Republic of South Africa (RSA) during the 2001 wet season campaign of SAFARI 2000. In addition, relaxed eddy accumulation (REA) measurements of BVOC fluxes were made on flux towers at these sites, where net CO2 emissions were also measured simultaneously.
The Met Office C-130 research aircraft was based at Windhoek, Namibia, between September 5-16, 2000, where it conducted a series of flights over Namibia as part of the SAFARI 2000 Dry Season Aircraft Campaign. The aims of the Met Office's research were as follows: (1) In-situ measurements of the physical, chemical and optical properties of the aerosol. The data set includes aerosol samples ranging from near source regions to aged plumes several hundreds of kilometres from source, some of which have been cloud processed. (2) Investigation of the direct radiative impact of aerosol over sea, land and low-level cloud. (3) In-situ measurements of aerosol properties in conjunction with ground-based sites to validate the ground-based retrievals of, for example, aerosol size distributions. (4) In-situ measurements of aerosol properties in conjunction with TERRA overpasses, in order to validate the satellite-based retrievals of aerosol properties. (5) In-situ measurements of stratus/stratocumulus cloud of Namibia/Angola in conjunction with TERRA overpasses, in order to validate satellite-based retrievals of cloud properties.
The Met Office C-130 research aircraft was based at Windhoek, Namibia, between September 5-16, 2000, where it conducted a series of flights over Namibia as part of the SAFARI 2000 Dry Season Aircraft Campaign. The aims of the Met Office's research were as follows: (1) In-situ measurements of the physical, chemical and optical properties of the aerosol. The data set includes aerosol samples ranging from near source regions to aged plumes several hundreds of kilometres from source, some of which have been cloud processed. (2) Investigation of the direct radiative impact of aerosol over sea, land and low-level cloud. (3) In-situ measurements of aerosol properties in conjunction with ground-based sites to validate the ground-based retrievals of, for example, aerosol size distributions. (4) In-situ measurements of aerosol properties in conjunction with TERRA overpasses, in order to validate the satellite-based retrievals of aerosol properties. (5) In-situ measurements of stratus/stratocumulus cloud of Namibia/Angola in conjunction with TERRA overpasses, in order to validate satellite-based retrievals of cloud properties.
ABSTRACT: The Met Office C-130 research aircraft was based at Windhoek, Namibia, between September 5-16, 2000, where it conducted a series of flights over Namibia as part of the SAFARI 2000 Dry Season Aircraft Campaign. The aims of the Met Office's research were as follows: (1) In-situ measurements of the physical, chemical and optical properties of the aerosol. The data set includes aerosol samples ranging from near source regions to aged plumes several hundreds of kilometres from source, some of which have been cloud processed. (2) Investigation of the direct radiative impact of aerosol over sea, land and low-level cloud. (3) In-situ measurements of aerosol properties in conjunction with ground-based sites to validate the ground-based retrievals of, for example, aerosol size distributions. (4) In-situ measurements of aerosol properties in conjunction with TERRA overpasses, in order to validate the satellite-based retrievals of aerosol properties. (5) In-situ measurements of stratus/stratocumulus cloud of Namibia/Angola in conjunction with TERRA overpasses, in order to validate satellite-based retrievals of cloud properties.
This data set contains leaf area index (LAI), leaf inclination angle, and canopy dimension data from study sites along the Kalahari Transect in southwest Botswana. The data were collected during the 2001 wet season field campaign of the SAFARI 2000 at a total of seven plots of 200 x 150 meter dimensions: two plots each at Tshane and Mabuasehube and three plots at Tsabong. The data set consists of measurements of leaf angle for plot dominant woody species, LAI calculated from overstory and understory photosynthetically active radiation (PAR) measurements, and canopy dimension data (i.e., crown height, crown width, and height to crown) for grass and woody vegetation for use in the parameterization of plant canopy reflectance models. The data files are stored as ASCII table files, in comma-separated-value (.csv) format, with column headers. Photographs (.jpg) are provided of each plot to provide an idea of site conditions. The photographs can be viewed on the S2K Photo Gallery pages.
This data set contains leaf area index (LAI), leaf inclination angle, and canopy dimension data from study sites along the Kalahari Transect in southwest Botswana. The data were collected during the 2001 wet season field campaign of the SAFARI 2000 at a total of seven plots of 200 x 150 meter dimensions: two plots each at Tshane and Mabuasehube and three plots at Tsabong. The data set consists of measurements of leaf angle for plot dominant woody species, LAI calculated from overstory and understory photosynthetically active radiation (PAR) measurements, and canopy dimension data (i.e., crown height, crown width, and height to crown) for grass and woody vegetation for use in the parameterization of plant canopy reflectance models. The data files are stored as ASCII table files, in comma-separated-value (.csv) format, with column headers. Photographs (.jpg) are provided of each plot to provide an idea of site conditions. The photographs can be viewed on the S2K Photo Gallery pages.
ABSTRACT: This data set contains leaf area index (LAI), leaf inclination angle, and canopy dimension data from study sites along the Kalahari Transect in southwest Botswana. The data were collected during the 2001 wet season field campaign of the SAFARI 2000 at a total of seven plots of 200 x 150 meter dimensions: two plots each at Tshane and Mabuasehube and three plots at Tsabong. The data set consists of measurements of leaf angle for plot dominant woody species, LAI calculated from overstory and understory photosynthetically active radiation (PAR) measurements, and canopy dimension data (i.e., crown height, crown width, and height to crown) for grass and woody vegetation for use in the parameterization of plant canopy reflectance models. The data files are stored as ASCII table files, in comma-separated-value (.csv) format, with column headers. Photographs (.jpg) are provided of each plot to provide an idea of site conditions. The photographs can be viewed on the S2K Photo Gallery pages.
This data set is a subset of Olson's Major World Ecosystem Complexes for southern Africa in ASCII GRID and binary image file formats. Olson's Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation is a computerized database, used to generate a global vegetation map of 44 different land ecosystem complexes (mosaics of vegetation or landscapes) comprising seven broad groups.
This data set is a subset of Olson's Major World Ecosystem Complexes for southern Africa in ASCII GRID and binary image file formats. Olson's Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation is a computerized database, used to generate a global vegetation map of 44 different land ecosystem complexes (mosaics of vegetation or landscapes) comprising seven broad groups.
ABSTRACT: This data set is a subset of Olson's Major World Ecosystem Complexes for southern Africa in ASCII GRID and binary image file formats. Olson's Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation is a computerized database, used to generate a global vegetation map of 44 different land ecosystem complexes (mosaics of vegetation or landscapes) comprising seven broad groups.
The Cloud Absorption Radiometer (CAR) is an airborne multi-wavelength scanning radiometer that can perform several functions including determining the single scattering albedo of clouds at selected wavelengths in the visible and near-infrared; measuring the angular distribution of scattered radiation; measuring bidirectional reflectance of various surface types; and acquiring imagery of cloud and Earth surface features.
The Cloud Absorption Radiometer (CAR) is an airborne multi-wavelength scanning radiometer that can perform several functions including determining the single scattering albedo of clouds at selected wavelengths in the visible and near-infrared; measuring the angular distribution of scattered radiation; measuring bidirectional reflectance of various surface types; and acquiring imagery of cloud and Earth surface features.
ABSTRACT: The Cloud Absorption Radiometer (CAR) is an airborne multi-wavelength scanning radiometer that can perform several functions including determining the single scattering albedo of clouds at selected wavelengths in the visible and near-infrared; measuring the angular distribution of scattered radiation; measuring bidirectional reflectance of various surface types; and acquiring imagery of cloud and Earth surface features.
The effect of clouds and aerosols on regional and global climate is of great importance. Two longstanding elements of the NASA climate and radiation science program are field studies incorporating airborne remote-sensing and in-situ measurements of clouds and aerosols. is Data products include: (1) cloud profiling with 30-m vertical and 200-m horizontal resolution at 1064 nm, 532 nm, and 355 nm;(2) aerosol, boundary layer, and smoke plume profiling;(3) optical depth estimates (column and by layer); and(4) extinction profiles. The CPL provides information to permit a comprehensive analysis of radiative and optical properties of optically thin clouds. Data users are asked to read and abide by the CPL data usage policy found at [http://virl.gsfc.nasa.gov/cpl/cpl_register.htm].
The effect of clouds and aerosols on regional and global climate is of great importance. Two longstanding elements of the NASA climate and radiation science program are field studies incorporating airborne remote-sensing and in-situ measurements of clouds and aerosols. is Data products include: (1) cloud profiling with 30-m vertical and 200-m horizontal resolution at 1064 nm, 532 nm, and 355 nm;(2) aerosol, boundary layer, and smoke plume profiling;(3) optical depth estimates (column and by layer); and(4) extinction profiles. The CPL provides information to permit a comprehensive analysis of radiative and optical properties of optically thin clouds. Data users are asked to read and abide by the CPL data usage policy found at [http://virl.gsfc.nasa.gov/cpl/cpl_register.htm].
ABSTRACT: The effect of clouds and aerosols on regional and global climate is of great importance. Two longstanding elements of the NASA climate and radiation science program are field studies incorporating airborne remote-sensing and in-situ measurements of clouds and aerosols. is Data products include: (1) cloud profiling with 30-m vertical and 200-m horizontal resolution at 1064 nm, 532 nm, and 355 nm;(2) aerosol, boundary layer, and smoke plume profiling;(3) optical depth estimates (column and by layer); and(4) extinction profiles. The CPL provides information to permit a comprehensive analysis of radiative and optical properties of optically thin clouds. Data users are asked to read and abide by the CPL data usage policy found at [http://virl.gsfc.nasa.gov/cpl/cpl_register.htm].