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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,268 datasets
36 land surface fields are provided from January 2000 to present, generated by NASA's Global Land Data Assimilation System (GLDAS-2.1). The monthly data product is an Early Product with about 1.5 month latency, created by temporally averaging 3-hourly simulations from the Noah Model 3.6. It is forced with a combination of NOAA/GDAS atmospheric analysis, GPCP precipitation, and AGRMET radiation fields.
January 2000 to present data from NASA's Global Land Data Assimilation System (GLDAS-2.1) main production stream. It contains 34 land surface fields, simulated with the VIC 4.1.2 Land Surface Model and forced with a combination of model and observational data. The data is archived in NetCDF format and has been post-processed with a MODIS land mask to correct inland water representation.
January 1979 to present land surface parameters simulated from the Common Land Model (CLM) V2.0 within the Global Land Data Assimilation System (GLDAS). The data are provided at a 1.0-degree spatial resolution with a 3-hourly temporal resolution, forced by atmospheric analysis and observation-based radiation fields. This dataset is produced and hosted by the National Aeronautics and Space Administration (NASA).
NASA's Global Land Data Assimilation System Version 2.0 (GLDAS-2.0) provides a series of land surface variables simulated from the Catchment Land Surface Model. The dataset covers a 67-year period from January 1948 to December 2014 at a 3-hourly temporal resolution and a 1.0-degree spatial resolution. It is forced with Princeton meteorological input data and is archived in netCDF format.
Version 07 is the current climate-reference product, superseding older versions. This dataset provides global gridded daily precipitation averages derived from the AMSR-2 radiometer on the GCOM-W1 satellite, processed using the GPROF algorithm with homogeneous ECMWF-Interim reanalysis data. It is produced by the National Aeronautics and Space Administration and hosted by the GES DISC.
GPM_3GPROFGCOMW1AMSR2_CLIM is a NASA-produced Level 3 dataset providing global gridded monthly precipitation averages. Version 07 data uses climate-homogeneous ECMWF-Interim reanalysis as ancillary input for the GPROF retrieval algorithm, making it suitable for climate time series analysis. The data is derived from microwave sensors on the GCOM-W1 satellite's AMSR-2 instrument, which are sensitive to liquid and ice-phase precipitation.
A long-term, homogeneous global precipitation record from the Global Precipitation Climatology Project (GPCP), using modern merging techniques and satellite inputs. The dataset is produced by NASA under the World Climate Research Program and is currently paused at September 2024 pending calibration updates for its input data. It provides monthly precipitation fields at a 0.5-degree spatial resolution, along with ancillary error estimates.
NASA's Global Land Data Assimilation System Version 2.1 (GLDAS-2.1) provides 34 land surface fields simulated by the Catchment-F2.5 Land Surface Model. The dataset contains 3-hourly data at a 1.0 x 1.0 degree spatial resolution, covering the period from January 2000 to the present. It is forced with a combination of model and observational data, including NOAA/GDAS atmospheric fields and GPCP precipitation data.
June 2000 to December 2020 of daily global precipitation estimates at a 0.5-degree grid resolution. The dataset is produced by NASA's Global Precipitation Climatology Project (GPCP) using a merger of satellite data from GPM IMERG and TOVS/AIRS estimates. It provides a long, homogeneous precipitation record and includes probability of liquid phase estimates globally.
NASA's GLDAS-2.1 Catchment Land Surface Model provides 34 land surface fields from January 2000 to the present. The monthly 1.0 x 1.0 degree product is an Early Product stream generated by temporally averaging 3-hourly simulations, with a latency of about 1.5 months. This dataset is produced by the National Aeronautics and Space Administration and supersedes the previous GLDAS-1 products.
36 land surface fields are simulated by the Noah Model 3.6 within NASA's Global Land Data Assimilation System Version 2.1 (GLDAS-2.1). The data, reprocessed in January 2020, covers the globe at a 0.25 x 0.25 degree spatial resolution with 3-hourly temporal resolution from January 2000 to the present. It is produced by the National Aeronautics and Space Administration (NASA) and distributed by the GES DISC.
NASA's GLDAS-2.1 Noah Land Surface Model L4 3-hourly Early Product provides 36 land surface fields from January 2000 to the present. The dataset is simulated with the Noah Model 3.6 in the Land Information System and is forced with a combination of NOAA/GDAS atmospheric analysis, GPCP precipitation, and AGRMET radiation data. It is archived in NetCDF format and distributed by NASA's GES DISC.
NASA's GLDAS-2.1 Catchment Land Surface Model provides 34 monthly land surface fields from January 2000 to the present. The data are generated by temporally averaging 3-hourly simulations forced with a combination of model and observational data, including NOAA/GDAS and GPCP precipitation. The dataset is post-processed with a MODIS land mask to correct inland water representation.
NASA's GLDAS-2.1 Noah model provides 36 monthly land surface fields from January 2000 to the present. The data is generated by the Land Information System and forced with a combination of model and observational inputs, including GDAS, GPCP, and AGRMET. It is a reprocessed version from January 2020, using a MODIS land mask to correct inland water representation.
GPM_3GPROFNPPATMS_CLIM is a climate-reference precipitation dataset from NASA's GES DISC, last updated in March 2026. It provides global gridded monthly precipitation averages at 0.25-degree resolution, derived from microwave sensors on the SUOMI-NPP satellite. The data uses homogeneous ECMWF-Interim reanalysis as ancillary input to support long-term climate studies.
NASA's GLDAS-2.1 Noah model provides 36 monthly land surface fields from January 2000 to the present. The data is generated by temporally averaging 3-hourly simulations forced with a combination of model and observational data, including NOAA/GDAS and GPCP precipitation. This version, reprocessed in January 2020, uses a MODIS land mask to correct inland water representation.
Global Land Data Assimilation System (GLDAS-2.1) monthly data product containing 34 land surface fields from January 2000 to the present. The dataset was generated by NASA using the VIC Land Surface Model 4.1.2, forced with a combination of NOAA/GDAS, GPCP, and AGRMET data. It is an Early Product stream with approximately 1.5-month latency, archived in NetCDF format.
NASA's GLDAS-2.0 VIC monthly data provides a temporally consistent series of land surface variables from January 1948 to December 2014. The data is generated by the VIC 4.1.2 Land Surface Model forced with Princeton meteorological data and archived in NetCDF format. A post-processing correction in October 2020 applied a MODIS land mask to accurately exclude data over inland water bodies.
34 land surface fields are provided monthly from January 2000 to the present. NASA's Global Land Data Assimilation System Version 2.1 (GLDAS-2.1) generated this data by simulating the VIC 4.1.2 Land Surface Model and temporally averaging 3-hourly outputs. The data is part of the main production stream, incorporating GPCP precipitation data and other meteorological forcing inputs.
Seventeen ships across twenty-four cruises collected this dataset of water temperature profiles using bathythermographs (BT/XBT). The data spans nearly two decades, from July 16, 1971, to April 30, 1990, primarily in the North Pacific Ocean. The U.S. Navy recorded the original stripcharts, which were later digitized and submitted to the National Oceanographic Data Center (NODC) by the Fleet Numerical Oceanography Center.