Monthly gridded Global Land Data Assimilation System (GLDAS) from Noah-v3.3 land hydrology model for GRACE and GRACE-FO over nominal months

Description

The total land water storage anomalies are aggregated from the Global Land Data Assimilation System (GLDAS) NOAH model. GLDAS outputs land water content by using numerous land surface models and data assimilation. For more information on the GLDAS project and model outputs please visit https://ldas.gsfc.nasa.gov/gldas. The aggregated land water anomalies (sum of soil moisture, snow, canopy water) provided here can be used for comparison against and evaluations of the observations of Gravity Recovery and Climate Experiment (GRACE) and GRACE-FO over land. The monthly anomalies are computed over the same days during each month as GRACE and GRACE-FO data, and are provided on monthly 1 degree lat/lon grids in NetCDF format.

Resources

Name Format Description Link
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.5067%2FGGDAS-3NH33
21 Generic Data Readers https://github.com/podaac/data-readers
21 The Global Land Data Assimilation System https://doi.org/10.1175/BAMS-85-3-381
21 PODAAC GRACE-FO Mission-Page https://podaac.jpl.nasa.gov/GRACE-FO
21 PO.DAAC Forum Page https://podaac.jpl.nasa.gov/forum/viewforum.php?f=27
21 GRACE-FO Project https://gracefo.jpl.nasa.gov/
21 Data Use and Citation Policy https://podaac.jpl.nasa.gov/CitingPODAAC
21 Browse granule search results in Earthdata Search https://search.earthdata.nasa.gov/search/granules?p=C2036877565-POCLOUD
33 GRACE monthly data integration range https://podaac-tools.jpl.nasa.gov/drive/files/allData/tellus/L3/docs/GRACE_GRACE-FO_Months_RL06.pdf
22 Thumbnail https://podaac.jpl.nasa.gov/Podaac/thumbnails/TELLUS_GLDAS-NOAH-3.3_TWS-ANOMALY_MONTHLY.jpg
21 HTTPS endpoint for data browse and download https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2036877565-POCLOUD

Tags

  • gravity-gravitational-field
  • solid-earth
  • earth-science

Topics

  • Climate

Categories

  • Ecosystem Vulnerability
  • Atmospheric, Earth and Ocean Sciences