Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
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.
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
ABSTRACT: Estimates of plant standing crop, plant productions & consumption by herbivores
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
Plant-extractable water capacity of soil is the amount of water that can be extracted from the soil to fulfill evapotranspiration demands. This data set provides an estimate of the global distribution of plant-extractable water capacity of soil.
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
ABSTRACT: Cross referenced calibration optical thickness data from C-130 and KSU staff
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
Cross referenced calibration optical thickness data from C-130 and KSU staff
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
A global data set of root biomass, rooting profiles, and concentrations nutrients in roots was compiled from the primary literature and used to study distributions of root properties. This data set consists of estimates of fine root biomass and specific area, site characteristics. This data set provides analysis of rooting patterns for terrestrial biomes and compare distributions for various plant functional groups.
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Among the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. In 2001, The Sensor Intercomparison and Merger for Biological and Interdisciplinary Oceanic Studies (SIMBIOS) Program embarked on a collaborative effort with the National Space Development Agency (NASDA) of Japan and the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) Project to reprocess the entire Ocean Color and Temperature Scanner (OCTS) global area coverage (GAC) data set and make those products available to the scientific community. As part of the collaboration, NASDA provided the complete OCTS GAC Level-1A data set (November 1996 through June 1997) to NASA along with their unique expertise and analysis of the data products. (The OCTS GAC data set was created from the LAC resolution data by subsampling every 5th line and 4th pixel). NASA provided the processing expertise, methodologies and resources, and the archive and distribution support. The focus of the OCTS GAC reprocessing work was to minimize the potential processing-related differences (atmospheric correction and bio-optical algorithms) between the SeaWiFS and OCTS missions, by reprocessing the entire OCTS GAC mission archive using the same software and algorithms employed for standard SeaWiFS processing. This product contains annual Level-3 Standard Mapped Image (Equal-Angular Cylindrical grid) data products. Each product contains one of the following parameters at 9 km resolution: Remote sensing reflectance at 412, 443, 490, 516, 565 and 667nm Diffuse attenuation at 490nm Aerosol optical thickness at 862nm Aerosol Angstrom exponent Chlorophyll a concentration Particualte Inorganic Carbon
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Among the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. In 2001, The Sensor Intercomparison and Merger for Biological and Interdisciplinary Oceanic Studies (SIMBIOS) Program embarked on a collaborative effort with the National Space Development Agency (NASDA) of Japan and the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) Project to reprocess the entire Ocean Color and Temperature Scanner (OCTS) global area coverage (GAC) data set and make those products available to the scientific community. As part of the collaboration, NASDA provided the complete OCTS GAC Level-1A data set (November 1996 through June 1997) to NASA along with their unique expertise and analysis of the data products. (The OCTS GAC data set was created from the LAC resolution data by subsampling every 5th line and 4th pixel). NASA provided the processing expertise, methodologies and resources, and the archive and distribution support. The focus of the OCTS GAC reprocessing work was to minimize the potential processing-related differences (atmospheric correction and bio-optical algorithms) between the SeaWiFS and OCTS missions, by reprocessing the entire OCTS GAC mission archive using the same software and algorithms employed for standard SeaWiFS processing. This product contains annual Level-3 Standard Mapped Image (Equal-Angular Cylindrical grid) data products. Each product contains one of the following parameters at 9 km resolution: Remote sensing reflectance at 412, 443, 490, 516, 565 and 667nm Diffuse attenuation at 490nm Aerosol optical thickness at 862nm Aerosol Angstrom exponent Chlorophyll a concentration Particualte Inorganic Carbon
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
Global Drought Hazard Frequency and Distribution is a 2.5 minute grid based upon the International Research Institute for Climate Prediction's (IRI) Weighted Anomaly of Standardized Precipitation (WASP). Utilizing average monthly precipitation data from 1980 through 2000 at a resolution of 2.5 degrees, WASP assesses the precipitation deficit or surplus over a three month temporal window that is weighted by the magnitude of the seasonal cyclic variation in precipitation. The three months' averages are derived from the precipitation data and the median rainfall for the 21 year period is calculated for each grid cell. Grid cells where the three month running average of precipitation is less than 1 mm per day ae excluded. Drought events are identified when the magnitude of a monthly precipitation deficit is less than or equal to 50 percent of its longterm median value for three or more consecutive months. Grid cells are then divided into 10 classes having an approximately equal number of grid cells. Higher grid cell values denote higher frequencies of drought occurrences. This dataset is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), Columbia University International Research Institute for Climate Prediction (IRI), and Columbia University Center for International Earth Science Information Network (CIESIN).
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
The GAMSSA v1.0 system blends NAVOCEANO's GAC 9.9 km x 4.4 km resolution AVHRR L2P SST1m data (NOAA-17, NOAA-18 and METOP-A), European Space Agency's 0.17 AATSR skin SST Meteo Product (EnviSat), Remote Sensing System's 25 km resolution AMSR-E L2P sub-skin SSTs (Aqua) and in situ bulk SSTs from the GTS. In order to produce a foundation SST estimate, the AATSR skin SST data stream is converted to foundation SST using the Donlon et al. (2002) skin to foundation temperature conversion algorithms. These empirically-derived algorithms apply a small correction for the cool-skin effect depending on surface wind speed, and filter out SST values suspected to be affected by diurnal warming by excluding cases which have experienced recent surface wind speeds of below 6 ms-1 during the day and less than 2 ms-1 during the night. Wind data used are the 0.75 horizontal resolution, 3-hourly, instantaneous 10 m winds derived from the BoM 60 level, Global Area Prediction System (GASP) NWP forecasts. The remaining satellite and in situ sub-skin and bulk SST data streams are similarly filtered to remove suspected diurnal warming events using calculated times for sunrise and sunset at the measurement location, GASP forecast winds and the same wind speed thresholds as applied to the AATSR data.
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
A data set of 30-year mean monthly surface climate over global land areas, excluding Antarctica. Interpolated from station data to 0.5 degree lat/lon for a range of variables: precipitation, wet-day frequency, mean temperature and diurnal temperature range (from which maximum temperature and and minimum temperature can be determined), vapour pressure, cloud cover, ground-frost frequency.
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
The GPM Ground Validation Campaign Reports MC3E dataset consists of various reports filed by the scientists during the MC3E campaign which took place from mid April thru 3rd June 2011. Several of the reports are from the planning, test flights, and preparation as early as March 22, 2011. Reports included in this dataset are for the Mission Scientist, Mission Manager, Instrument Scientists, and Weather Forecasts. Many reports have additional information included as attachments.
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
A GHRSST L4 sea surface temperature analysis produced daily at the NOAA National Climatic Data Center using optimal interpolation from AVHRR Pathfinder Version 5 data (http://pathfinder.nodc.noaa.gov) (when available, otherwise operational AVHRR data are used) and in situ ship and buoy observations. A second similar product is available that also includes AMSR-E data from June 2002 onward. To avoid a jump in the analysis and to provide the longest, most consistent time series, this product uses only the AVHRR Pathfinder and in situ data. The OI analysis is a daily average SST that is bias adjusted using a spatially smoothed 7-day in situ SST average. Both day and night satellite fields are independently adjusted. More information is available at http://www.ncdc.noaa. gov/oa/climate/research/sst/oi-daily.php. PO.DAAC, through the GHRSST Global Data Assembly Center (http://ghrsst.jpl.nasa.gov) acts as a global distribution node for all GHRSST L4 products in conjunction with the NOAA Longterm Stewardship and Reanalysis Facility (LTSRF; http://ghrsst.nodc.noaa.gov).More information on GHRSST can be found here: http://www.ghrsst-pp.org/.
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Among the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. In 2001, The Sensor Intercomparison and Merger for Biological and Interdisciplinary Oceanic Studies (SIMBIOS) Program embarked on a collaborative effort with the National Space Development Agency (NASDA) of Japan and the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) Project to reprocess the entire Ocean Color and Temperature Scanner (OCTS) global area coverage (GAC) data set and make those products available to the scientific community. As part of the collaboration, NASDA provided the complete OCTS GAC Level-1A data set (November 1996 through June 1997) to NASA along with their unique expertise and analysis of the data products. (The OCTS GAC data set was created from the LAC resolution data by subsampling every 5th line and 4th pixel). NASA provided the processing expertise, methodologies and resources, and the archive and distribution support. The focus of the OCTS GAC reprocessing work was to minimize the potential processing-related differences (atmospheric correction and bio-optical algorithms) between the SeaWiFS and OCTS missions, by reprocessing the entire OCTS GAC mission archive using the same software and algorithms employed for standard SeaWiFS processing. This product contains seasonal Level-3 Standard Mapped Image (Equal-Angular Cylindrical grid) data products. Each product contains one of the following parameters at 9 km resolution: Remote sensing reflectance at 412, 443, 490, 516, 565 and 667nm Diffuse attenuation at 490nm Aerosol optical thickness at 862nm Aerosol Angstrom exponent Chlorophyll a concentration Particualte Inorganic Carbon
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
The Autonomous Parsivel Unit (APU) is an optical disdrometer based on single particle extinction that measures particle size and fall velocity. This APU consists of the Parsivel, which was developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. This dataset provides rainfall data for the Global Precipitation Measurement (GPM) Mission Ground Validation Experiment collected at the National Space Science Technology Center (NSSTC), Huntsville, AL. There may be occasional gaps in the data when the instrument is not resident at the NSSTC and is sent to participate in field campaigns.
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
ABSTRACT: This data set consists of 1 degree x 1 degree gridded monthly burned area, fuel loads, combustion completeness, and fire emissions of carbon (C), carbon dioxide (CO2), carbon monoxide (CO), methane (CH4), non-methane hydrocarbons (NMHC), molecular hydrogen (H2), nitrogen oxides (NOx), nitrous oxide (N2O), particulate matter (PM2.5), total particulate matter (TPM), total carbon (TC), organic carbon (OC), and black carbon (BC) for the time period January 1997 through December 2005. Emission estimates for the 2001-2005 period are also available with an 8-day time step. The data set was compiled using satellite data and the Carnegie-Ames-Stanford Approach (CASA) biogeochemical model. Burned area from 2001-2004 was derived from active fire and 500-m burned area data from MODIS (Giglio et al., 2006). ATSR (Along Track Scanning Radiometer) and VIRS (Visible and Infrared Scanner) satellite data were used to extend the burned area time series back to 1997 (Arino et al., 1999; Giglio et al., 2003; Van der Werf et al., 2004). Fuel loads and net flux from terrestrial ecosystems were estimated as the balance between net primary production, heterotrophic respiration, and biomass burning, using time varying inputs of precipitation, temperature, solar radiation, and satellite-derived fractional absorbed photosynthetically active radiation. Tropical and boreal peatland emissions were also considered, using a global wetland cover map (Matthews and Fung, 1987) to modify surface and belowground fuel availability. The data set also includes monthly estimates of the C4 fraction of carbon emissions that can be used to construct the 13C isotope ratio (Randerson et al., 2005).The data files are in space delimited ASCII format. For each subject (e.g., burned area, fuel loads, combustion completeness, or individual fire emission species), all monthly files for the 9-year period are combined in one zipped file. Similarly, the emission estimates with an 8-day time step for the 2001-2005 period are combined in one zipped file by subject.Additional information about the methodology, data format, and parameters measured is found in the companion file: ftp://daac.ornl.gov/data/global_vegetation/fire_emission_v2/comp/global_fire_emissions_v2_1_readme.pdf. Version 2.1 Note: This data set is intended for use for large-scale modeling studies. It supersedes and replaces the Global Fire Emissions Database, Version 2 (GFEDv2) which was archived by the Oak Ridge National Laboratory Distributed Active Archive Center in 2006.
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
The L4 analysis is based upon nighttime GHRSST L2P subskin SST observations from several satellites and instruments such as: AMSRE, ATS_NR_2P, AVHRR18_G, AVHRR17_NAR, AVHRR18_NAR and SEVIRI. The ice field from the Swedish and Finnish ice services is used to mask out areas with ice. Besides SST, the data contain an estimated error standard deviation of the analysed SSTs and a sea/land/lake/ice field composite mask.
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
Global Earthquake Hazard Frequency and Distribution is a 2.5 by 2.5 minute global utilizing Advanced National Seismic System (ANSS) Earthquake Catalog data of actual earthquake events exceeding 4.5 on the Richter scale during the time period 1976 through 2002. To produce the final output, the frequency of an earthquake hazard is calculated for each grid cell, and the resulting grid cells are then classified into deciles (10 classes consisting of an approxiamately equal number of grid cells). The greater the grid cell value in the final output, the higher the relative frequency of hazard posed by earthquakes. This dataset is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR) and Columbia University Center for International Earth Science Information Network (CIESIN).
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
The Geoscience Laser Altimeter System (GLAS) instrument on the Ice, Cloud, and land Elevation Satellite (ICESat) provides global measurements of elevation, and repeats measurements along nearly-identical tracks; its primary mission is to measure changes in ice volume (mass balance) over time. This digital elevation model (DEM) of Greenland is derived from GLAS/ICESat laser altimetry profile data and provides new surface elevation grids of the ice sheets and coastal areas, with greater latitudinal extent and fewer slope-related effects than radar altimetry. This DEM is generated from the first seven operational periods (from February 2003 through June 2005) of the GLAS instrument. It is provided on polar stereographic grids at 1 km grid spacing. The grid covers all of Greenland south of 83� N. Elevations are reported as centimeters above the datums, relative to both the WGS 84 ellipsoid and the EGM96 geoid, in two separate elevation data files. A data quality map of the interpolation distance is distributed in addition to the elevation data. ENVI header files are also provided. The data are in 4-byte (long) signed integer binary files (big endian byte order) and are available via FTP.
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
ABSTRACT: This data set consists of 1 degree x 1 degree gridded monthly burned area, fuel loads, combustion completeness, and fire emissions of carbon (C), carbon dioxide (CO2), carbon monoxide (CO), methane (CH4), non-methane hydrocarbons (NMHC), molecular hydrogen (H2), nitrogen oxides (NOx), nitrous oxide (N2O), particulate matter (PM2.5), total particulate matter (TPM), total carbon (TC), organic carbon (OC), and black carbon (BC) for the time period January 1997 through December 2005. Emission estimates for the 2001-2005 period are also available with an 8-day time step. The data set was compiled using satellite data and the Carnegie-Ames-Stanford Approach (CASA) biogeochemical model. Burned area from 2001-2004 was derived from active fire and 500-m burned area data from MODIS (Giglio et al., 2006). ATSR (Along Track Scanning Radiometer) and VIRS (Visible and Infrared Scanner) satellite data were used to extend the burned area time series back to 1997 (Arino et al., 1999; Giglio et al., 2003; Van der Werf et al., 2004). Fuel loads and net flux from terrestrial ecosystems were estimated as the balance between net primary production, heterotrophic respiration, and biomass burning, using time varying inputs of precipitation, temperature, solar radiation, and satellite-derived fractional absorbed photosynthetically active radiation. Tropical and boreal peatland emissions were also considered, using a global wetland cover map (Matthews and Fung, 1987) to modify surface and belowground fuel availability. The data set also includes monthly estimates of the C4 fraction of carbon emissions that can be used to construct the 13C isotope ratio (Randerson et al., 2005).The data files are in space delimited ASCII format. For each subject (e.g., burned area, fuel loads, combustion completeness, or individual fire emission species), all monthly files for the 9-year period are combined in one zipped file. Similarly, the emission estimates with an 8-day time step for the 2001-2005 period are combined in one zipped file by subject.Additional information about the methodology, data format, and parameters measured is found in the companion file: ftp://daac.ornl.gov/data/global_vegetation/fire_emission_v2/comp/global_fire_emissions_v2_1_readme.pdf. Version 2.1 Note: This data set is intended for use for large-scale modeling studies. It supersedes and replaces the Global Fire Emissions Database, Version 2 (GFEDv2) which was archived by the Oak Ridge National Laboratory Distributed Active Archive Center in 2006.
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
ABSTRACT: Plant-extractable water capacity of soil is the amount of water that can be extracted from the soil to fulfill evapotranspiration demands. This data set provides an estimate of the global distribution of plant-extractable water capacity of soil.
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
distributions of Gross Domestic Product (GDP) are computed using a two-fold process. Where applicable, the proportional contribution of subnational units are determined following the methodology of Sachs et al. (2003) and these proportions are used against World Bank Development Indicators to determine a GDP value for the subnational unit. Once a national GDP has been spatially stratified into the smallest administrative units available, it is further distributed based upon Gridded Population of the World, Version 3 (GPWv3) population distributions. A per capita contribution value is determined for each unit, and this value is multiplied by the population per grid cell. Once the GDP has been determined on a per grid cell basis, then the spatially variable loss rate as derived from EM-DAT historical records is used to determine the total economic loss posed to a grid cell by volcano hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10) ranking of grid cells based upon the calculated economic loss risks. This dataset is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
Global Volcano Hazard Frequency and Distribution is a 2.5 minute gridded data set based upon the National Geophysical Data Center (NGDC) Volcano Database spanning the period of 1979 through 2000. This database includes nearly 4,000 volcanic events categorized as moderate or above (values 2 through 8) according to the Volcano Explosivity Index (VEI). Most volcanoes are georeferenced to the nearest tenth or hundredth of a degree with a few to the nearest thousandth of a degree. To produce the final output, the frequency of a volcanic hazard is computed for each grid cell, with the data set consequently being classified into deciles (10 classes of approximately equal number of grid cells). The higher the grid cell value in the final output, the higher the relative frequency of hazard posed by volcanoes. This dataset is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR) and Columbia University Center for International Earth Science Information Network (CIESIN).
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
Global Earthquake Hazard Distribution-Peak Ground Acceleration is a 2.5 by 2.5 minute grid of global earthquake hazards developed using Global Seismic Hazard Program (GSHAP) data that incorporate expert opinion in predicting localities where there exists a 10 percent chance of exceeding a peak ground acceleration (pga) of 2 meters per second per second (approximately one-fifth of surface gravitational acceleration) in a 50 year time span. For the purpose of identifying hazard hotspots, values of 2 meters per second per second and less were excluded from analysis. The resulting range of pga values were classified into deciles, 10 classes of approximately an equal number of grid cells. This dataset is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR) and Columbia University Center for International Earth Science Information Network (CIESIN).
Published By National Aeronautics and Space Administration
Issued almost 10 years ago
Summary
Description
A global digital data base of soil properties is available at 1 degree longitude resolution. For each land cell, the data base includes major and associated soil units, surface texture, and slope; phase and miscellaneous land units are included where available. The data base was compiled as part of an effort to improve modeling of the hydrologic cycle in the GISS Genreal Circulation Model.