TELLUS GRACE Level-3 0.5-degree Glacial Isostatic Adjustment v1.0 datasets produced by JPL

Description

Glacial isostatic adjustment (GIA) is an ongoing geophysical process and is measured by gravimetry satellites like GRACE and GRACE-FO. To isolate signals of contemporary surface mass loss in the cumulative satellite gravimetry measurements, contemporary GIA rates are computed and subtracted from the satellite gravimetry observations. The GIA correction models provided here are filtered such that they are compatible with Level-3 post-processing filters applied to GRACE(-FO) data as indicated in the [product_id]. In this way, user can effectively assess the impact of the applied GIA correction, and substitute different GIA models should that be desired. This GIA dataset is mapped into 0.5-degree global grid compatible with the JPL Mascon solution, provided in netCDF format.

Resources

Name Format Description Link
View documentation related to this dataset HTML Glacial Isostatic Adjustment (GIA) Open resource
Download this dataset through a directory map HTML HTTPS endpoint for data browse and download Open resource
View this dataset's publications HTML Comment on the paper by Purcell et al. 2016 entitled An assessment of ICE-6G_C (VM5a) glacial isostatic adjustment model Open resource
View this dataset's publications HTML GIA model statistics for GRACE hydrology Open resource
View this dataset's publications HTML Computations of the viscoelastic response of a 3-D compressible Earth to surface loading: an application to Glacial Isostatic Adjustment in Antarctica and Canada Open resource
View this dataset's data recipes HTML Generic Data Readers Open resource
View documentation related to this dataset HTML GRACE Project Open resource
View this dataset's data citation policy HTML Data Use and Citation Policy Open resource
View documentation related to this dataset HTML PODAAC GRACE Mission-Page Open resource
Get a related visualization JPG Thumbnail Open resource
Google Scholar search results HTML Search results for publications that cite this dataset by its DOI. Open resource
Download this dataset through Earthdata Search HTML Browse granule search results in Earthdata Search Open resource

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