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Description

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 (RL06.3Mv04). A Coastal Resolution Improvement (CRI) filter has been applied to this data set to reduce signal leakage errors across coastlines. For most land hydrology, oceanographic as well as land-ice applications this is the recommend data set for the analysis of surface mass changes. The data are provided in a single data file in netCDF format, with water storage/height anomalies in equivalent water thickness units (cm). The data are derived from solving for monthly gravity field variations on geolocated spherical cap mass concentration functions, rather than global spherical harmonic coefficients. Additionally, realistic geophysical information is introduced during the computation to intrinsically remove correlated errors. Thus, these Mascon grids do not need to be de-correlated or smoothed, like traditional spherical harmonic gravity solutions.
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The complete Mascon solution consists of 4,551 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, as are uncertainty values, and the gridded mascon-ID number to enable further analysis. Since the individual mascons act as an inherent smoother on the gravity field, a set of optional gain factors (or scale factors) is provided within the netCDF and can be applied to the solution to study mass change signals at sub-mascon resolution (e.g. for continental hydrology applications). For use-case examples and further background on the gain factors, please see Wiese, Landerer & Watkins, 2016, https://doi.org/10.1002/2016WR019344.

This RL06.3Mv04 is an updated version of the previous Tellus JPL Mascon RL06.1Mv03 (DOI, 10.5067/TEMSC-3JC63). 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.

Product Summary

Platforms
GRACE-FO ,
GRACE
Instruments
GRACE-FO MWI ,
GRACE-FO LRI ,
GRACE-FO ACC ,
GRACE-FO SCA ,
KBR ,
GRACE LRR ,
GRACE ACC ,
GRACE SCA
Spatial Extent

N: 90 S: -90 E: 180 W: -180

Spatial Resolution
0.5 Decimal Degrees x 0.5 Decimal Degrees
Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2002-04-04
Data Partner
Physical Oceanography Distributed Active Archive Center, Jet Propulsion Laboratory, NASA (NASA/JPL/PODAAC) ,
GRACE Tellus, Jet Propulsion Laboratory, NASA (NASA/JPL/GRACE-TELLUS-0001)
Concept ID
C3195527175-POCLOUD
Data State
ACTIVE
Number of Files/Granules
1
Processing Level
3
Published
Updated
Science Keywords
Terrestrial Water Storage ,
Ground Water ,
Glacier Mass Balance/Ice Sheet Mass Balance

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

GRACE-FO, D. N. W. (2024). JPL GRACE and GRACE-FO Mascon Ocean, Ice, and Hydrology Equivalent Water Height CRI Filtered RL06.3Mv04 [Data set]. NASA Physical Oceanography Distributed Active Archive Center. https://doi.org/10.5067/TEMSC-3JC634 Date Accessed: 2026-04-13

Documents

Variables

The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.

For questions on a specific variable, please use the Earthdata Forum.

Name Description Units Data Type Fill Value Valid Range Scale Factor Offset
GAD Coastline Resolution Improvement (CRI) filter is applied cm double -99999 -28.73597710071 to 46.229601876783 1 N/A
land_mask Land Mask that was used with the CRI filter binary double N/A N/A 1 N/A
lat latitude degrees_north double N/A -89.75 to 89.75 1 N/A
lat_bounds latitude values at the north and south bounds of each pixel degrees_north double N/A N/A 1 N/A
lon longitude degrees_east double N/A 0.25 to 359.75 1 N/A
lon_bounds longitude values at the west and east bounds of each pixel degrees_east double N/A N/A 1 N/A
lwe_thickness Coastline Resolution Improvement (CRI) filter is applied cm double -99999 -2085.878844178 to 1016.7514038309 1 N/A
mascon_ID Mascon identifier mapped to the grid dimensionless double N/A 1 to 4551 1 N/A
scale_factor Gridded scale factors to be used with mascon solution that has the CRI filter applied; based on CLM data from 2002-2009 dimensionless double -99999 -99999 to 24.13398846779 1 N/A
time time days since 2002-01-01T00:00:00Z double N/A N/A 1 N/A
time_bounds time bounds for each time value, i.e. the first day and last day included in the monthly solution days since 2002-01-01T00:00:00Z double N/A N/A 1 N/A
uncertainty 1-sigma uncertainty: not for each 0.5 degree grid cell, but for each 3-degree mascon estimate cm double -99999 0.22740321267317 to 53.344695985601 1 N/A
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