AndreaBozzo/ceres-open-data-index huggingface dataset:
GPM SSMIS on F17 Common Calibrated Brightness Temperatures L1C 1.5 hours 12 km V07 (GPM_1CF17SSMIS) at GES DISC

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. All 1C products have a common L1C data structure, simple and generic. Each L1C swath includes scan time, latitude and longitude, scan status, quality, incidence angle, Sun glint angle, and the intercalibrated brightness temperature (Tc). One or more swaths are included in a product. The radiometer data are recalibrated to a common basis so that precipitation products derived from them are consistent. 1CSSMIS contains common calibrated brightness temperature from the SSMIS passive microwave instruments flown on the DMSP satellites. Swath S1 has 3 low frequency channels (19V 19H 22V). Swath S2 has 2 low frequency channels (37V 37H). Swath S3 has 4 high frequency channels (150H 183+/-1H 183+/-3H 183+/-7H). S4 has 2 high frequency channels (91V 91H). All the above frequencies are in GHz. Earth observations for all four swaths are taken during a 144o segment of the instrument rotation when SSMIS scans in the direction of foreward satellite motion. We define the spacecraft vector (v) at the center of this segment.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-microwave-spectral-engineering-brightness-temperature, earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration
GPM SSMIS on F18 (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07 (GPM_3GPROFF18SSMIS_DAY_CLIM) at GES DISC

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. The 'CLIM' products differ from their 'regular' counterparts (without the 'CLIM' in the name) by the ancillary data they use. They are Climate-Reference products, which requires homogeneous ancillary data over the climate time series. Hence, the ECMWF-Interim (European Centre for Medium-Range Weather Forecasts, 2-3 months lag behind the regular production) reanalysis is used as ancillary data to derive surface and atmospheric conditions required by the GPROF algorithm for the 'CLIM' output. The GPROF databases are also adjusted accordingly for these climate-referenced retrievals. 3GPROF products provide global gridded monthly/daily precipitation averages from multiple satellites that can be used for climate studies. The 3GPROF products are based on retrievals from high-quality microwave sensors, which are sensitive to liquid and ice-phase precipitation hydrometeors in the atmosphere.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration
GPM TMI on TRMM (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07 (GPM_3GPROFTRMMTMI_CLIM) at GES DISC

This is the new (GPM-formated) TRMM product. It replaces the old TRMM_3A12,3A11 Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. The "CLIM" products differ from their "regular" counterparts (without the "CLIM" in the name) by the ancillary data they use. They are Climate-Reference products, which requires homogeneous ancillary data over the climate time series. Hence, the ECMWF-Interim (European Centre for Medium-Range Weather Forecasts, 2-3 months lag behind the regular production) reanalysis is used as ancillary data to derive surface and atmospheric conditions required by the GPROF algorithm for the "CLIM" output. The GPROF databases are also adjusted accordingly for these climate-referenced retrievals. 3GPROF products provide global gridded monthly/daily precipitation averages from multiple satellites that can be used for climate studies. The 3GPROF products are based on retrievals from high-quality microwave sensors, which are sensitive to liquid and ice-phase precipitation hydrometeors in the atmosphere.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration
GPM TMI on TRMM unpacked data L1A 1.5 hours 13 km V07 (GPM_1ATMI) at GES DISC

This is the new (GPM-formated) TRMM product. It replaces the old TRMM_1A11 Version 07 is the current version of the data set. Previous versions have been superseded by Version 07. The 1ATMI product contains science and housekeeping sensor count data directly from the TRMM Microwave Imager (TMI) Instrument aboard the TRMM satellite. The data has been unpacked from the spacecraft packets and geolocated. A Level 1A file contains data for a single orbit and has a file size of about 33 MB. There are 16 files of TMI 1A data produced per day. Spatial coverage is between 38 degrees North and 38 degrees South owing to the 35 degree inclination of the TRMM satellite. This orbit provides extensive coverage in the tropics and allows each location to be covered at a different local time each day, enabling the analysis of the diurnal cycle of precipitation.

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-imagery-radiance-1-6um, earth-science-infrared-wavelengths-spectral-engineering-infrared-imagery-radiance-3-75um, earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-infrared-wavelengths-spectral-engineering-sensor-counts, earth-science-infrared-wavelengths-spectral-engineering-thermal-infrared-radiance-10-8um, earth-science-infrared-wavelengths-spectral-engineering-thermal-infrared-radiance-12-0um, earth-science-platform-characteristics-spectral-engineering-attitude-characteristics, earth-science-sensor-characteristics-spectral-engineering-viewing-geometry-satellite-local-zeni, earth-science-visible-wavelengths-spectral-engineering-sensor-counts, earth-science-visible-wavelengths-spectral-engineering-visible-imagery-radiance-0-63um, earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
GPM SSMIS on F18 Common Calibrated Brightness Temperatures L1C 1.5 hours 12 km V07 (GPM_1CF18SSMIS) at GES DISC

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. All 1C products have a common L1C data structure, simple and generic. Each L1C swath includes scan time, latitude and longitude, scan status, quality, incidence angle, Sun glint angle, and the intercalibrated brightness temperature (Tc). One or more swaths are included in a product. The radiometer data are recalibrated to a common basis so that precipitation products derived from them are consistent. 1CSSMIS contains common calibrated brightness temperature from the SSMIS passive microwave instruments flown on the DMSP satellites. Swath S1 has 3 low frequency channels (19V 19H 22V). Swath S2 has 2 low frequency channels (37V 37H). Swath S3 has 4 high frequency channels (150H 183+/-1H 183+/-3H 183+/-7H). S4 has 2 high frequency channels (91V 91H). All the above frequencies are in GHz. Earth observations for all four swaths are taken during a 144o segment of the instrument rotation when SSMIS scans in the direction of foreward satellite motion. We define the spacecraft vector (v) at the center of this segment.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-microwave-spectral-engineering-brightness-temperature, earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration
GPM TMI on TRMM Antenna Temperatures L1BASE 1.5 hours 13 km V07 (GPM_BASETRMMTMI) at GES DISC

This a new (GPM-formated) TRMM product. There is no equivalent in the old TRMM suite of products. The BASETRMMTMI product contains unaltered data directly from the TRMM Microwave Imager (TMI) aboard the TRMM satellite. It has has two purposes: To repackage the raw satellite data from binary Consultative Committee for Space Data Systems (CCSDS) packets to Hierarchical Data Format (HDF5), and to geolocate the sample data. The counts in the product are the raw counts taken directly from the packets created by the TRMM Microwave Imager (TMI) instrument. There is no calibration or interpretation performed at the BASETRMMTMI level.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration
GPM SSMIS on F18 (GPROF) Radiometer Precipitation Profiling L2 1.5 hours 12 km V07 (GPM_2AGPROFF18SSMIS) at GES DISC

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. The 2AGPROF (Goddard Profiling) algorithm retrieves consistent precipitation and related science fields from the following GMI and partner passive microwave sensors: + TMI (TRMM) + GMI, (GPM) + SSMI (DMSP F15), SSMIS (DMSP F16, F17, F18, F19) + AMSR2 (GCOM-W1) + MHS (NOAA 18,19) + MHS (METOP A,B) + ATMS (NPP) + SAPHIR (MT1) This provides the bulk of the 3-hour coverage achieved by GPM. For each sensor, there are nearrealtime (NRT) products, standard products, and climate products. These differ only in the amount of data that are available within 3 hours, 48 hours, and 3 months of collection, as well as the ancillary data used. The NRT product uses GANAL forecast fields. Standard products use the GANAL analysis product, while the climate product uses ECMWF reanalysis in order to allow for consistent data records with earlier missions. These earlier data may be archived separately. The main strength of the product is the large sampling provided. The GPM radiometer algorithms are Bayesian-type algorithms. These algorithms search an apriori database of potential rain profiles and retrieve a weighted average of these entries based upon the proximity of the observed brightness temperature (Tb) to the simulated Tb corresponding to each rain profile. By using the same a-priori database of rain profiles, with appropriate simulated Tb for each constellation sensor, the Bayesian method is completely parametric and thus well suited for GPM's constellation approach. The a-priori information will be supplied by the combined algorithm supplied by GPM's core satellite as soon after launch as feasible. Databases for V0 of the algorithm had to be constructed from various sources as described in the ATBD. The solution provides a mean rain rate as well as the vertical structure of cloud and precipitation hydrometeors and their uncertainty.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration
GPM SSMIS on F18 (GPROF) Climate-based Radiometer Precipitation Profiling 1.5 hours 12 km V07 (GPM_2AGPROFF18SSMIS_CLIM) at GES DISC

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. The 'CLIM' products differ from their 'regular' counterparts (without the 'CLIM' in the name) by the ancillary data they use. They are Climate-Reference products, which requires homogeneous ancillary data over the climate time series. Hence, the ECMWF-Interim (European Centre for Medium-Range Weather Forecasts, 2-3 months lag behind the regular production) reanalysis is used as ancillary data to derive surface and atmospheric conditions required by the GPROF algorithm for the 'CLIM' output. The GPROF databases are also adjusted accordingly for these climate-referenced retrievals. The 2AGPROF (Goddard Profiling) algorithm retrieves consistent precipitation and related science fields from the following GMI and partner passive microwave sensors: + TMI (TRMM) + GMI, (GPM) + SSMI (DMSP F15), SSMIS (DMSP F16, F17, F18, F19) + AMSR2 (GCOM-W1) + MHS (NOAA 18,19) + MHS (METOP A,B) + ATMS (NPP) + SAPHIR (MT1) This provides the bulk of the 3-hour coverage achieved by GPM. For each sensor, there are nearrealtime (NRT) products, standard products, and climate products. These differ only in the amount of data that are available within 3 hours, 48 hours, and 3 months of collection, as well as the ancillary data used. The NRT product uses GANAL forecast fields. Standard products use the GANAL analysis product, while the climate product uses ECMWF reanalysis in order to allow for consistent data records with earlier missions. These earlier data may be archived separately. The main strength of the product is the large sampling provided. The GPM radiometer algorithms are Bayesian-type algorithms. These algorithms search an apriori database of potential rain profiles and retrieve a weighted average of these entries based upon the proximity of the observed brightness temperature (Tb) to the simulated Tb corresponding to each rain profile. By using the same a-priori database of rain profiles, with appropriate simulated Tb for each constellation sensor, the Bayesian method is completely parametric and thus well suited for GPM's constellation approach. The a-priori information will be supplied by the combined algorithm supplied by GPM's core satellite as soon after launch as feasible. Databases for V0 of the algorithm had to be constructed from various sources as described in the ATBD. The solution provides a mean rain rate as well as the vertical structure of cloud and precipitation hydrometeors and their uncertainty.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration
Global Distribution of Root Turnover in Terrestrial Ecosystems

Estimates of root turnover rates were calculated from measurements of live root standing crop and belowground net primary production (BNPP) compiled from the primary literature. Vegetation characteristics, soil properties, and climate conditions were associated with turnover rates to examine patterns and controls for biomes worldwide. Building on prior analyses (Jackson et al. 1996, 1997), data were compiled from approximately 190 papers from additional journals, book chapters, technical reports, and unpublished manuscripts that included information on live root standing crop and belowground BNPP. The papers described research on every continent except Antarctica, although the majority were from North America. In the database, the plant functional type and biome coverage were most abundant for grasslands and temperate zones.

Tags: earth-science-vegetation-biosphere-biomass, earth-science-vegetation-biosphere-plant-characteristics
Organization: National Aeronautics and Space Administration
Global Distribution of Root Nutrient Concentrations in Terrestrial Ecosystems

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.Fine roots are an important source and sink for nutrients in terrestrial biogeochemistry. The data collected come from 56 published studies that give information on fine root (less than 5mm diameter) nutrient concentrations, root diameters, and retranslocation of nutrients. These studies include diverse vegetation and biomes, including grass, shrub, and tree functional types from temperate, tropical, boreal and tundra systems. The preponderance of data comes from experiments with temperate and coniferous trees.

Tags: earth-science-vegetation-biosphere-nutrients
Organization: National Aeronautics and Space Administration
Global Data Set of Derived Soil Properties, 0.5-Degree Grid (ISRIC-WISE)

The World Inventory of Soil Emission Potentials (WISE) database currently contains data for over 4300 soil profiles collected mostly between 1950 and 1995. This database has been used to generate a series of uniform data sets of derived soil properties for each of the 106 soil units considered in the Soil Map of the World (FAO-UNESCO, 1974). These data sets were then linked to a 1/2 degree longitude by 1/2 degree latitude version of the edited and digital Soil Map of the World (FAO, 1995) to generate GIS raster image files for the following variables: Total available water capacity (mm water per 1 m soil depth) soil organic carbon density (kg C/m**2 for 0-30cm depth range) soil organic carbon density (kg C/m**2 for 0-100cm depth range) soil carbonate carbon density (kg C/m**2 for 0-100cm depth range) soil pH (0-30 cm depth range) soil pH (30-100 cm depth range) Data Citation: The data set should be cited as follows: Batjes, N. H. (ed). 2000. Global Data Set of Derived Soil Properties, 0.5-Degree Grid (ISRIC-WISE). Available on-line from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A.

Tags: earth-science-soils-land-surface-carbon, earth-science-soils-land-surface-organic-matter, earth-science-soils-land-surface-soil-chemistry, earth-science-soils-land-surface-soil-moisture-water-content, earth-science-soils-land-surface-soil-ph, earth-science-soils-land-surface-soil-porosity
Organization: National Aeronautics and Space Administration
Global EASE-Grid 8-day Blended SSM/I and MODIS Snow Cover, Version 1

This data set comprises global, 8-day Snow-Covered Area (SCA) and Snow Water Equivalent (SWE) data from 2000 through 2008. Global SWE data are derived from the Special Sensor Microwave Imager (SSM/I) and are enhanced with MODIS/Terra Snow Cover 8-Day Level 3 Global 0.05 degree Climate Modeling Grid (CMG) data. Global data are gridded to the Northern and Southern 25 km Equal-Area Scalable Earth Grids (EASE-Grids). These data are suitable for continental-scale time-series studies of snow cover and snow water equivalent.

Tags: earth-science-snow-ice-cryosphere-snow-cover, earth-science-snow-ice-cryosphere-snow-cover-modis-snow-covered-area-sca, earth-science-snow-ice-cryosphere-snow-water-equivalent
Organization: National Aeronautics and Space Administration
Global Fire Atlas with Characteristics of Individual Fires, 2003-2016

The Global Fire Atlas is a global dataset that tracks the day-to-day dynamics of individual fires to determine the timing and location of ignitions, fire size, duration, daily expansion, fire line length, speed, and direction of spread. These individual fire characteristics were derived based on the Global Fire Atlas algorithm and estimated day of burn information at 500-m resolution from the Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6 MCD64A1 burned area product. The algorithm identified 13.3 million individual fires (>=21 ha or 0.21 km2; the size of one MODIS pixel) over the 2003-2016 study period.

Tags: earth-science-ecological-dynamics-biosphere-fire-ecology-fire-dynamics, earth-science-ecological-dynamics-biosphere-fire-ecology-fire-occurrence, earth-science-natural-hazards-human-dimensions-wildfires-burned-area
Organization: National Aeronautics and Space Administration
Global Fire carbon emissions from CMS-Flux inversions assimilating atmospheric carbon monoxide observations

This dataset provides carbon monoxide and carbon dioxide flux from fires constrained by satellite observations. The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car
Organization: National Aeronautics and Space Administration
Global Distribution of Fine Root Biomass in Terrestrial Ecosystems

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, and source references associated with two papers (Jackson et al. 1996 and 1997).Understanding and predicting ecosystem functioning (e.g., carbon and water fluxes) and the role of soils in carbon storage requires an accurate assessment of plant rooting distributions.

Tags: earth-science-vegetation-biosphere-biomass, earth-science-vegetation-biosphere-nutrients, earth-science-vegetation-biosphere-plant-characteristics
Organization: National Aeronautics and Space Administration
Global Food Security Support Analysis Data (GFSAD) Crop Dominance 2010 Global 1 km V001

The NASA Making Earth System Data Records for Use in Research Environments ([MEaSUREs](https://earthdata.nasa.gov/about/competitive-programs/measures)) Global Food Security Support Analysis Data (GFSAD) Crop Dominance Global 1 kilometer (km) dataset was created using multiple input data including: Advanced Very High Resolution Radiometer (AVHRR), Satellite Probatoire d'Observation de la Terre (SPOT) vegetation, and Moderate Resolution Imaging Spectrometer (MODIS) remote sensing data; crop type data, secondary elevation data; 50-year precipitation and 20-year temperature data; reference sub-meter to 5 meter resolution ground data; and country statistic data. The GFSAD1KCD data were produced for nominal 2010 by overlaying the five dominant crops of the world produced by Ramankutty et al. (2008), Monfreda et al. (2008), and Portman et al. (2009) over the remote sensing derived global irrigated and rainfed cropland area map of the International Water Management Institute (IWMI; Thenkabail et al., 2009a, 2009b, 2011, Biradar et al., 2009) to ultimately create eight classes of crop dominance. The GFSAD1KCD nominal 2010 product is based on data ranging from years 2007 through 2012. Known Issues * See Section 3.0 of the GFSAD 1 km User Guide.

Tags: earth-science-ecosystems-biosphere-anthropogenic-human-influenced-ecosystems-agricultural-lands, earth-science-vegetation-biosphere-vegetation-cover
Organization: National Aeronautics and Space Administration