Data coverage
This data set contains Level-2 global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D). AQ3ANSM This data set contains Level-3 gridded annual global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D). AQ3DYSM This data set contains Level-3 gridded daily global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D). AQ3MCSM This data set contains Level-3 gridded monthly global soil moisture climatology estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D). AQ3MOSM This data set contains Level-3 gridded monthly global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D). AQ3SCSM This data set contains Level-3 gridded seasonal global soil moisture climatology estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D). AQ3SNSM This data set contains Level-3 gridded seasonal global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D). AQ3WKSM This data set contains Level-3 gridded weekly global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D). HMADTE This data set includes spatially distributed estimates of the debris thickness and sub-debris melt enhancement factors for every debris-covered glacier in the Randolph Glacier Inventory Version 6, excluding the ice sheets and Antarctic Periphery. The debris thickness estimates are derived using a novel approach that uses a combination of sub-debris melt inversion and surface temperature inversion methods. The sub-debris melt enhancement factors are estimated from the debris thickness using debris thickness-melt curves normalized by estimates of the clean-ice melt. HMAFreezeThawMeltASCAT This data set contains bulk landscape frozen or thawed status over seasonally frozen land, as well as snowmelt status over glacierized areas for the High Mountain Asia region. Daily Freeze/Thaw/Melt (F/T/M) status is derived from vertically polarized (V-pol) C-band (5.255 GHz) backscatter measurements that were acquired by the Advanced Scatterometer (ASCAT) on EUMETSAT Metop-A and Metop-B satellites. Swath-ordered observations are spatially enhanced using the Scatterometer Image Reconstruction (SIR) algorithm, posted on Earth-fixed 4.45 km grids, and interpolated to a daily product from the original 3-day A.M. overpasses. HMAPrecip3B42 This data set features seven standard annual mean extreme precipitation indices: Rx1day, Rx5day, CWD, R10mm, R20mm, R95pTOT, and R99pTOT. They were selected on the basis of potential relevance to landslide activity from the 27 indices established by the joint CCl/CLIVAR/JCOMM Expert Team (ET) on Climate Change Detection and Indices (ETCCDI). The seven indices were calculated from 3B42 version 7 daily satellite precipitation estimates. NSIDC-0545 This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides high-resolution, digital mosaics of ice motion in the Amundsen Sea Embayment (ASE) and West Antarctica, including the Pine Island, Thwaites, Haynes, Pope, Smith, and Kohler glaciers. The mosaics were assembled from interferometric synthetic-aperture radar (InSAR) data acquired in 1996, 2000, 2002, and 2006-2012 by various satellites. See Antarctic Ice Sheet Velocity and Mapping Data for related data. NSIDC-0793 This ITSLIVE data set, part of the Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, contains monthly, 120 m resolution ice masks for the Greenland Ice Sheet from 1972 to 2022. The presence of ice was determined from 237,556 manually and AI-derived terminus positions acquired by satellite optical and radar observations. Months with no observations have been gap-filled using past and future observations of terminus positions and advance rates constrained by the average flow speed of the glacier. Animations are also available for 206 catchments that show how the ice front positions have changed over the course of the time series and can be used as a quality control check. NSIDC-0761 This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, consists of three as-complete-as-possible mosaic maps of velocities on the Antarctic ice sheet for the time periods 1995–2001, 2007–2009, and 2014–2017. The maps are posted at 450 m in the WGS 84/Antarctic Polar Stereographic projection. In addition to ice velocity, the data set provides maps of velocity error and standard deviation; counts of velocity estimates used per pixel; date ranges; and masks that delineate the ice fronts and grounding lines for the each period. MWOWL3EPIV0.1 This data set contains 6-hourly, global gridded wind speed and direction at 0.125 degree horizontal resolution from the MWOW (Multi-sensor Worldwide Ocean Winds) Project. It is a harmonized wind product combining retrievals from a variety of satellite-based instruments, including five scatterometers, one radiometer, and one synthetic aperture radar (SAR) for the Version 0.1 product. Data are available in netCDF format, with one file for each 6-hour timestep. Note that data from the instruments are not aggregated together to create a composite wind map for each timestep. Rather, observations from each instrument are kept separate, split over the “time” dimension. Further, any observations from the same instrument that overlap spatially in the 6-hour window are also reported as separate observations along this time dimension. This “Expanded Platform Input” product is similar to the MWOWL3V0.1 product (DOI 10.5067/MWOW-6H-V01) with additional data inputs from scatterometers aboard the Hai Yang 2B and 2C satellites. Version 0 of these data include an initial bulk ingest of data in January 2026 with forward streaming planned for later in the year. Version 0 is primarily meant for assessment by stakeholders, with future versions likely to incorporate feedback from the stakeholders. No User Guide is planned for this version, although the data are considered science quality. Interested users looking for more information are encouraged to contact the data producer. The MWOW Project is funded by NASA’s Satellite Needs Working Group (SNWG) which provides data products developed to meet the needs of stakeholders from US government agencies. MWOWL3HIGHRESEPIV0.1 This data set contains 6-hourly, global gridded wind speed and direction at 1/64th degree horizontal resolution from the MWOW (Multi-sensor Worldwide Ocean Winds) Project. It is a harmonized wind product combining retrievals from the KaRIn satellite-based SAR (synthetic aperture radar) with interpolated data from five scatterometers and one radiometer for comparison where SAR data is available. Data are available in netCDF format, with one file for each 6-hour timestep. Note that data from the instruments are not aggregated together to create a composite wind map for each timestep. Rather, observations from each instrument are kept separate, split over the “time” dimension. Further, any observations from the same instrument that overlap spatially in the 6-hour window are also reported as separate observations along this time dimension. This “Expanded Platform Input” product is similar to the MWOWL3HIRESV0.1 product (DOI 10.5067/MWOW-6HHR-V01) with additional data inputs from scatterometers aboard the Hai Yang 2B and 2C satellites. Version 0 of these data include an initial bulk ingest of data in January 2026 with forward streaming planned for l
Access & permitted use
Review the publisher’s documentation for availability, eligibility and permitted uses, including commercial analysis, model training and redistribution.
Creative Commons BY 4.0
Need help sourcing data?
Tell us your required fields, population, geography and time period. We can review suitable sources and licensing options.
Request sourcing help