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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,225 datasets
82 marine species from the Northeast US Continental Shelf are assessed for climate vulnerability. The dataset provides biological sensitivity and climate exposure scores, plus estimated climate change effects for each species. It was produced by the National Oceanic and Atmospheric Administration and updated in March 2026.
SatCORPS CERES GEO Edition 4 data provides hourly cloud micro-physical and radiation properties derived from GOES-10 geostationary satellite imager data. The dataset is arranged as hourly files in netCDF-4 format with observations at 4 km resolution at nadir, sub-sampled to 8 km. It was produced by NASA's Langley Research Center to support the CERES project, a key component of the Earth Observing System.
SatCORPS CERES GEO Edition 4 GMS-5 Full Disk Version 2 is a data product providing hourly cloud micro-physical and radiation properties derived from GMS-5 geostationary satellite imager data. The dataset is produced by NASA's Langley Research Center using SatCORPS algorithms to support the Clouds and the Earth's Radiant Energy System (CERES) project, a key component of the Earth Observing System. Observations are at 4 km resolution at nadir and are sub-sampled to 8 km, arranged as hourly files in netCDF-4 format.
Hourly cloud micro-physical and radiation properties derived from GOES-10 geostationary satellite imager data at 4 km resolution, subsampled to 8 km. The data set is arranged as files for each hour in netCDF-4 format and was produced by NASA's Langley Research Center using SatCORPS algorithms for the CERES project. Data collection for this product is complete.
Hourly cloud micro-physical and radiation properties derived from GOES-14 geostationary satellite imager data, collected using the GOES-I-M Imager. The dataset is arranged as files for each hour in netCDF-4 format, with observations at 4 km resolution (sub-sampled to 8 km). It was produced by NASA's Langley Research Center SatCORPS algorithms to support the Clouds and the Earth's Radiant Energy System (CERES) project.
CER_GEO_Ed4_GOE16_NH_V01.4 is a NASA Langley Research Center data product providing cloud micro-physical and radiation properties derived from GOES-16 geostationary satellite imager data. The dataset comprises hourly observations at 2 km resolution, subsampled to 6 km, and is stored in netCDF-4 format. Version 1.4 uses the GMAO MERRA-2 reanalysis for atmospheric input, with no changes to the core cloud retrieval algorithm.
Southern Hemisphere observations from the Meteosat-9 geostationary satellite provide hourly cloud microphysical and radiation properties. The data is derived from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) instrument using Langley Research Center SatCORPS algorithms at 3 km resolution, subsampled to 6 km, and is stored in netCDF-4 format. This product supports the NASA Clouds and the Earth's Radiant Energy System (CERES) project, which has flown instruments on satellites including TRMM, Terra, Aqua, Suomi NPP, and NOAA-20 since 1997.
SatCORPS CERES GEO Edition 4 data provides hourly cloud microphysical and radiation properties derived from the SEVIRI instrument on the Meteosat-10 geostationary satellite over the Southern Hemisphere. The dataset is produced by NASA's Langley Research Center to support the CERES project, a key component of the Earth Observing System program. Observations are at 3 km resolution (nadir) and sub-sampled to 9 km, arranged in hourly netCDF-4 files.
Hourly cloud micro-physical and radiation properties derived from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on the Meteosat-10 geostationary satellite. The data set is arranged as files for each hour in netCDF-4 format, with observations at a 4 km resolution at nadir, sub-sampled to 8 km. This product was created by NASA's Langley Research Center SatCORPS algorithms to support the Clouds and the Earth's Radiant Energy System (CERES) project.
Hourly cloud microphysical and radiation properties derived from the SEVIRI instrument on the Meteosat-10 geostationary satellite at 4 km resolution. The data set is arranged as hourly files in netCDF-4 format, supporting the NASA CERES project to estimate fluxes between instrument measurements. CERES instruments have been launched on multiple missions since 1997, including Terra, Aqua, and NOAA-20.
Hourly cloud micro-physical and radiation properties derived from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on the Meteosat-10 geostationary satellite. The data is arranged as hourly files in netCDF-4 format with observations at 3 km resolution, sub-sampled to 9 km, and covers the Southern Hemisphere. This product was created by NASA's Langley Research Center to support the Clouds and the Earth's Radiant Energy System (CERES) project.
CER_GEO_Ed4_MET07_FD_V02 is a NASA SatCORPS data product providing hourly cloud micro-physical and radiation properties derived from the Meteosat-7 geostationary satellite. The data is at 4 km resolution at nadir, sub-sampled to 8 km, and is arranged in hourly netCDF-4 files to support the CERES project's analysis of the Earth's diurnal energy cycle. CERES instruments, first launched in 1997, are a key component of NASA's Earth Observing System (EOS).
Hourly cloud micro-physical and radiation properties derived from the Meteosat-5 geostationary satellite's Visible Infra-Red Imager. The data is arranged in hourly files at 4 km resolution (sub-sampled to 8 km) in netCDF-4 format, supporting the NASA Langley Research Center's CERES project for Earth's radiant energy system studies. The CERES instrument series began launches in 1997, with the latest in 2017.
Northern Hemisphere cloud microphysical and radiation properties derived hourly from MTSAT-2 geostationary satellite data. The dataset is produced by NASA's Langley Research Center using SatCORPS algorithms for the CERES project, with observations at 4 km resolution (sub-sampled to 8 km) and files arranged hourly in netCDF-4 format. CERES instruments, launched on missions from TRMM in 1997 to NOAA-20 in 2017, provide radiometric measurements to study the Earth's radiation budget.
CER_GEO_Ed4_MTS01_NH_V01 is a NASA CERES project dataset providing hourly cloud micro-physical and radiation properties derived from the MTSAT-1R geostationary satellite. Data collection is complete, with observations at 4 km resolution (sub-sampled to 8 km) and files arranged hourly in netCDF-4 format. The CERES program, a key Earth Observing System component, follows the ERBE mission, with its first instrument launched in 1997 and the latest in 2017.
Hourly cloud micro-physical and radiation properties derived from MTSAT-1R geostationary satellite data at 3 km resolution. The dataset, arranged in netCDF-4 files for each hour, was created by NASA's Langley Research Center to support the CERES project for estimating fluxes between instrument measurements. CERES instruments have been launched on multiple missions since 1997, including Terra, Aqua, and NOAA-20.
SatCORPS CERES GEO Edition 4 data provides hourly cloud microphysical and radiation properties derived from the MTSAT-2R geostationary satellite over the Southern Hemisphere. The dataset is produced by NASA's Langley Research Center using the VISSR instrument and supports the CERES project to estimate fluxes between instrument measurements. Data is arranged as hourly files in netCDF-4 format at a nominal 4 km resolution, subsampled to 8 km.
CER_GEO_Ed4_MET08_SH_V01.2 is a NASA satellite data product providing hourly cloud microphysical and radiation properties derived from the SEVIRI instrument on the Meteosat-8 geostationary satellite over the Southern Hemisphere. The data is arranged in hourly files in netCDF-4 format with observations at 3 km resolution (sub-sampled to 6 km) and supports the CERES project, a key component of the Earth Observing System. Data collection for this product is in progress, with Version 1.2 covering the period when the satellite moved to 41° E.
Hourly data on cloud micro-physical and radiation properties derived from the SEVIRI instrument on the Meteosat-9 geostationary satellite. The dataset, produced by NASA's Langley Research Center for the CERES project, is arranged as hourly files in netCDF-4 format with observations at 4 km resolution (sub-sampled to 8 km). Data collection for this product is complete.
Hourly cloud micro-physical and radiation properties derived from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on the Meteosat-9 geostationary satellite. The data set is arranged as files for each hour in netCDF-4 format, with observations at 3 km resolution (at nadir) sub-sampled to 9 km. This product was created by NASA's Langley Research Center (LaRC) SatCORPS algorithms to support the Clouds and the Earth's Radiant Energy System (CERES) project.