Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
ABSTRACT: 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 over 9 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 over 9 years ago
Summary
Description
A GHRSST Level 4 sea surface temperature analysis produced daily on an operational basis at the UK Met Office using optimal interpolation from AVHRR, AATSR, SEVIRI, AMSRE, TMI and in situ sensors. 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 over 9 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 over 9 years ago
Summary
Description
Nutrient measurements for fine roots were compiled from 56 published studies providing information on 372 different combinations of species, root diameter, rooting depths, and soils at a variety of locations. The compilation was used to examine dynamics of 14 nutrients, including translocation properties of roots of varying size and status.
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
Global Cyclone Proportional Economic Loss Risk Deciles is a 2.5 by 2.5 minute grid of cyclone hazard economic loss as proportions of gross domestic product (GDP) per analytical unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. The dataset is a result of the 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 over 9 years ago
Summary
Description
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. 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. Also included in the data set are biome type, vegetation type, locality, and geographic coordinates.
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
The through-cloud capabilities of microwave radiometers provide a valuable picture of global sea surface temperature (SST) while infrared radiometers (MODIS) have a higher spatial resolution. To utilize these SSTs, scientists at Remote Sensing Systems have calculated a daily, Optimally Interpolated (OI) SST product at ~9 kilometer resolution. This product is ideal for research activities in which a complete, daily SST map is more desirable than one with missing data due to orbital gaps or environmental conditions precluding SST retrieval.
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
The Global Pastures dataset represents the proportion of land areas used as pasture land (land used to support grazing animals) in the year 2000. Satellite data from Modetate Resolution Imaging Spectroradiometer (MODIS) and Satellite Pour l'Observation de la Terre (SPOT) Image Vegetation sensor were combined with agricultural inventory data to create a global data set. The visual presentation of this data demonstrates the extent to which human land use for agriculture has changed the Earth and in which areas this change is most intense. The data was compiled by Navin Ramankutty, et. al. (2008) and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
The ODYSSEA North-West Europe Shelves Sea Surface Temperature is produced at Ifremer/CERSAT. It provides a daily cloud-free field of foundation sea surface temperature at 2 km resolution (0.02 degree). It is generated by merging all available satellite sensors for sea surface temperature (micro-wave and infra-red), after careful intercalibration using AATSR sensor as reference (previously re-calibrated using all available in situ data). The development of this real-time sea surface temperature at Ifremer/CERSAT is supported by ESA initially in the frame of Medspiration project.
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
The Global Croplands data set represents the proportion of land areas used as cropland (land used for the cultivation of food) in the year 2000. Satellite data from Modetate Resolution Imaging Spectroradiometer (MODIS) and Satellite Pour l'Observation de la Terre (SPOT) Image Vegetation sensor were combined with agricultural inventory data to create a global data set. The visual presentation of this data demonstrates the extent to which human land use for agriculture has changed the Earth and in which areas this change is most intense. The data was compiled by Navin Ramankutty , et. al. (2008) and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
A data set of mean monthly surface climate over global land areas, excluding Antarctica. Interpolated from station data to 0.5 degrees lat/lon for a range of variables: precipitation and wet-day frequency, mean temperature and diurnal temperature range (from which maximum temperature and minimum temperature can be determined), vapour pressure, sunshine, cloud cover, ground-frost frequency and windspeed.
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
The Global Pastures dataset represents the proportion of land areas used as pasture land (land used to support grazing animals) in the year 2000. Satellite data from Modetate Resolution Imaging Spectroradiometer (MODIS) and Satellite Pour l'Observation de la Terre (SPOT) Image Vegetation sensor were combined with agricultural inventory data to create a global data set. The visual presentation of this data demonstrates the extent to which human land use for agriculture has changed the Earth and in which areas this change is most intense. The data was compiled by Navin Ramankutty, et. al. (2008) and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
A GHRSST Level 4 sea surface temperature analysis produced daily on an operational basis at the UK Met Office using optimal interpolation from AVHRR, AATSR, SEVIRI, AMSRE, TMI and in situ sensors. 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 over 9 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 over 9 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 over 9 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 over 9 years ago
Summary
Description
The OMI/Aura and MODIS/Aqua Merged Cloud Product 1-Orbit L2 Swath 13x24 km (OMMYDCLD) is a Level-2 orbital product that combines cloud parameters retrieved by the Ozone Mapping Instrument (OMI) on the Aura satellite with collocated statistical information for cloud parameters retrieved by the Moderate Resolution Imaging Spectrometer (MODIS) on the Aqua spacecraft. This product is designed to take advantage of the synergy between OMI and MODIS, which both fly on satellites in the NASA A-Train constellation of Earth-observing satellites that follow similar orbital tracks and collect near-simultaneous observations. This product can be used for cloud-clearing, detection of multi-layered clouds, and other applications that may exploit these multi-spectral measurements. The algorithm for the OMMYDCLD product co-locates daytime cloud parameters from MODIS onto the OMI visible (VIS) pixel for a given OMI orbit and generates statistical information from the collocated MODIS pixels. For each OMI granule, the orbit start and end times are used to select the corresponding 5-minute MODIS granules for processing. A contiguous list of MODIS granules spanning the full duration of the OMI orbit are selected based on the relative time lag between Aqua and Aura. The algorithm lead for this product is NASA OMI scientist Dr. Joanna Joiner. OMMYDCLD data files are stored in the EOS Hierarchical Data Format (HDF-EOS5) using the swath model, and follows the same conventions used by the other OMI Level-2 data products. Each file contains data from the day lit portion of an orbit (about 53 minutes). There are approximately 14 orbits per day. The file size for the OMMYDCLD data product is about 8 Mbytes. Data Category Parameters: The OMMYDCLD data file contains one swath which consists of two groups: Data fields: Effective Cloud Fraction and Cloud Top Pressures and MODIS histogram statistics and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags.
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
K10 L4 sea surface temperature analysis produced daily on an operational basis at the Naval Oceanographic Office using a weighted average of AVHRR, GVAR, and AMSRE SST retrievals. Pathfinder 9km climatology is used when no new satellite SST retrievals are available after 34 days. The age, reliability, and resolution of the data are used in the weighted average. AMSRE L2P data are provided by Remote Sensing Systems, USA.
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
The OMI/Aura and MODIS/Aqua Merged Cloud Product 1-Orbit L2 Swath 13x24 km (OMMYDCLD) is a Level-2 orbital product that combines cloud parameters retrieved by the Ozone Mapping Instrument (OMI) on the Aura satellite with collocated statistical information for cloud parameters retrieved by the Moderate Resolution Imaging Spectrometer (MODIS) on the Aqua spacecraft. This product is designed to take advantage of the synergy between OMI and MODIS, which both fly on satellites in the NASA A-Train constellation of Earth-observing satellites that follow similar orbital tracks and collect near-simultaneous observations. This product can be used for cloud-clearing, detection of multi-layered clouds, and other applications that may exploit these multi-spectral measurements. The algorithm for the OMMYDCLD product co-locates daytime cloud parameters from MODIS onto the OMI visible (VIS) pixel for a given OMI orbit and generates statistical information from the collocated MODIS pixels. For each OMI granule, the orbit start and end times are used to select the corresponding 5-minute MODIS granules for processing. A contiguous list of MODIS granules spanning the full duration of the OMI orbit are selected based on the relative time lag between Aqua and Aura. The algorithm lead for this product is NASA OMI scientist Dr. Joanna Joiner. OMMYDCLD data files are stored in the EOS Hierarchical Data Format (HDF-EOS5) using the swath model, and follows the same conventions used by the other OMI Level-2 data products. Each file contains data from the day lit portion of an orbit (about 53 minutes). There are approximately 14 orbits per day. The file size for the OMMYDCLD data product is about 8 Mbytes. Data Category Parameters: The OMMYDCLD data file contains one swath which consists of two groups: Data fields: Effective Cloud Fraction and Cloud Top Pressures and MODIS histogram statistics and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags.
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
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
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
The ODYSSEA North-West Europe Shelves Sea Surface Temperature is produced at Ifremer/CERSAT. It provides a daily cloud-free field of foundation sea surface temperature at 2 km resolution (0.02 degree). It is generated by merging all available satellite sensors for sea surface temperature (micro-wave and infra-red), after careful intercalibration using AATSR sensor as reference (previously re-calibrated using all available in situ data). The development of this real-time sea surface temperature at Ifremer/CERSAT is supported by ESA initially in the frame of Medspiration project.
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
The ODYSSEA North-West Europe Shelves Sea Surface Temperature is produced at Ifremer/CERSAT. It provides a daily cloud-free field of foundation sea surface temperature at 2 km resolution (0.02 degree). It is generated by merging all available satellite sensors for sea surface temperature (micro-wave and infra-red), after careful intercalibration using AATSR sensor as reference (previously re-calibrated using all available in situ data). The development of this real-time sea surface temperature at Ifremer/CERSAT is supported by ESA initially in the frame of Medspiration project.
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
The through-cloud capabilities of microwave radiometers provide a valuable picture of global sea surface temperature (SST) while infrared radiometers (MODIS) have a higher spatial resolution. To utilize these SSTs, scientists at Remote Sensing Systems have calculated a daily, Optimally Interpolated (OI) SST product at ~9 kilometer resolution. This product is ideal for research activities in which a complete, daily SST map is more desirable than one with missing data due to orbital gaps or environmental conditions precluding SST retrieval.
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
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