Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

JPL GRACE and GRACE-FO Mascon Ocean, Ice, and Hydrology Equivalent Water Height Coastal Resolution Improvement (CRI) Filtered Release 06.1 Version 03

Metadata Updated: December 6, 2023

This dataset contains gridded monthly global water storage/height anomalies relative to a time-mean, derived from GRACE and GRACE-FO and processed at JPL using the Mascon approach (RL06.1Mv03). This version of the data employs a Coastal Resolution Improvement (CRI) filter that reduces signal leakage errors across coastlines. These data are provided in a single data file in netCDF format, and can be used for analysis for ocean, ice, and hydrology phenomena. The water storage/height anomalies are given in equivalent water thickness units (cm). The solution provided here is derived from solving for monthly gravity field variations in terms of geolocated spherical cap mass concentration functions, rather than global spherical harmonic coefficients. Additionally, realistic geophysical information is introduced during the solution inversion to intrinsically remove correlated error. Thus, these Mascon grids do not need to be destriped or smoothed, like traditional spherical harmonic gravity solutions. The complete Mascon solution consists of 4,551 relatively independent estimates of surface mass change that have been derived using an equal-area 3-degree grid of individual mascons. A subset of these individual mascons span coastlines, and contain mixed land and ocean mass change signals. In a post-processing step, the CRI filter is applied to those mixed land/ocean Mascons to separate land and ocean mass. The land mask used to perform this separation is provided in the same directory as this dataset. Since the individual mascons act as an inherent smoother on the gravity field, a set of optional gain factors (for continental hydrology applications) that can be applied to the solution to study mass change signals at sub-mascon resolution is also provided within the same data directory as the Mascon data. This RL06.1Mv03 is an updated version of the previous Tellus JPL Mascon RL06Mv02 (DOI, 10.5067/TEMSC-3JC62). RL06.1Mv03 differs from RL06Mv02 only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1Mv03 uses the ACH data product For more information, please visit https://grace.jpl.nasa.gov/data/get-data/jpl_global_mascons/. For a detailed description on the Mascon solution, including the mathematical derivation, implementation of geophysical constraints, and solution validation, please see Watkins et al., 2015, doi: 10.1002/2014JB011547. For a detailed description of the CRI filter implementation, please see Wiese et al., 2016, doi:10.1002/2016WR019344.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

References

https://doi.org/10.1002/2014JB011547

Dates

Metadata Created Date May 30, 2023
Metadata Updated Date December 6, 2023

Metadata Source

Harvested from NASA Data.json

Graphic Preview

SOTO (State Of The Ocean) Visualization (total water storage anomaly)

Additional Metadata

Resource Type Dataset
Metadata Created Date May 30, 2023
Metadata Updated Date December 6, 2023
Publisher NASA/JPL/PODAAC
Maintainer
Identifier C2536962485-POCLOUD
Data First Published 2019-10-24
Language en-US
Data Last Modified 2019-10-24
Category GRACE, GRACE-FO, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation D. N. Wiese, D.-N. Yuan, C. Boening, F. W. Landerer, M. M. Watkins. 2023-01-25. JPL GRACE and GRACE-FO Mascon Ocean, Ice, and Hydrology Equivalent Water Height Coastal Resolution Improvement (CRI) Filtered Release 06.1. Version RL06.1Mv03. JPL GRACE Mascon Ocean, Ice, and Hydrology Equivalent Water Height RL06.1 CRI Filtered Version 03. JPL/PO.DAAC. Archived by National Aeronautics and Space Administration, U.S. Government, TELLUS. https://doi.org/10.5067/TEMSC-3JC63. http://grace.jpl.nasa.gov/data/get-data/jpl_global_mascons/. D. N. Wiese, D.-N. Yuan, C. Boening, F. W. Landerer, M. M. Watkins, TELLUS, 2019-11-26, JPL GRACE and GRACE-FO Mascon Ocean, Ice, and Hydrology Equivalent Water Height Coastal Resolution Improvement (CRI) Filtered Release 06 Version 02, http://grace.jpl.nasa.gov/data/get-data/jpl_global_mascons/.
Creator D. N. Wiese, D.-N. Yuan, C. Boening, F. W. Landerer, M. M. Watkins
Graphic Preview Description SOTO (State Of The Ocean) Visualization (total water storage anomaly)
Graphic Preview File https://soto.podaac.earthdatacloud.nasa.gov/?l=GRACE_Tellus_Liquid_Water_Equivalent_Thickness_Mascon_CRI,BlueMarble_ShadedRelief_Bathymetry,Coastlines_15m
Harvest Object Id c43acdf2-7157-4a7a-82e2-5566de476788
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.5067/TEMSC-3JC63
Metadata Type geospatial
Old Spatial -180.0 -90.0 180.0 90.0
Program Code 026:001
Related Documents https://doi.org/10.1002/2014JB011547
Release Place JPL/PO.DAAC
Series Name JPL GRACE and GRACE-FO Mascon Ocean, Ice, and Hydrology Equivalent Water Height Coastal Resolution Improvement (CRI) Filtered Release 06.1
Source Datajson Identifier True
Source Hash 83652a4191e107c633d53470f9db5b70910b9656c8ccaa4dc24bd0c006a3e3da
Source Schema Version 1.1
Spatial
Temporal 2002-04-04T00:00:00Z/2023-02-28T00:00:00Z

Didn't find what you're looking for? Suggest a dataset here.