JPL GRACE Mascon Ocean, Ice, and Hydrology Equivalent Water Height

November 17, 2015

The JPL GRACE Mascon Ocean, Ice, and Hydrology Equivalent Water Height (hereafter, Mascon) products are now available as part of the Tellus MEaSUREs collection of Earth System Data Records (ESDRs). This data product differs from other GRACE data products in that the gravity field has been solved for in terms of equal-area 3-degree spherical cap Mascon solutions, rather than spherical harmonic coefficients.  The data product contains monthly global water storage anomalies relative to a time-mean expressed on a 0.5 by 0.5 degree (latitude by longitude) grid, although the native resolution is still limited to 3 by 3 degrees.

Mascon has implemented a Coastline Resolution Improvement (CRI) filter to separate land and ocean mass anomalies from individual Mascon solutions that span coastlines.  The CRI-filtered data is considered to be more user friendly and recommended for most use applications and can be found here:
https://podaac.jpl.nasa.gov/dataset/TELLUS_GRACE_MASCON_CRI_GRID_RL05_V1

Expert users who wish to access the data without the implementation of the CRI filter can do so here: https://podaac.jpl.nasa.gov/dataset/TELLUS_GRACE_MASCON_GRID_RL05_V1

The water mass anomalies for both datasets are given in equivalent water thickness units and contained within a netCDF file. The Mascon solution is derived from solving for monthly gravity field variations in terms of 4,551 equal-area 3-degree spherical cap mass concentration functions, rather than spherical harmonic coefficients. Additionally, realistic geophysical information is introduced during the solution inversion to intrinsically remove correlated error. Thus, these Mascon solutions do not need to be destriped or smoothed, like traditional spherical harmonic gravity solutions. The resulting Mascon product consists of 4,551 relatively independent estimates of surface mass change, a subset of which span coastlines and contain a mixture of land and ocean mass signals.  Since the Mascon basis function acts as an inherent smoother on the gravity field, a set of optional gain factors (hereafter referred to as Scale Factors) can be applied to the solution to study mass change signals at sub-Mascon resolution; these Scale Factors and CRI-filtered land masks are also provided as unique netCDF files within the same data directory as the Mascon datasets.  Note: Scale Factors are only applicable for terrestrial hydrology applications.

For more general information about the Mascon processing and usage guidance, please visit https://grace.jpl.nasa.gov/data/get-data/jpl_global_mascons/.

For a detailed description on the Mascon algorithm, including the mathematical derivation, implementation of geophysical constraints, and solution validation, please see Watkins et al., 2015, doi: 10.1002/2014JB011547.

Science Applications of Mascon data include:

  • Hydrology
    • Quantifying groundwater depletion/accumulation rates
    • Flood prediction
  • Cryosphere
    • Rate of mass loss/gain from glaciers and ice sheets
  • Oceanography
    • Steric rate of sea level rise
    • Ocean currents
  • Solid Earth
    • Earthquakes
    • Glacial isostatic adjustment

     

Figure 2: Example of a spherical cap Mascon solution for 1 arbitrary month.

Figure 1: Example of a spherical cap Mascon solution for 1 arbitrary month.

 

Figure 3: Mascon solutions depicted for 1 month over Greenland and North Atlantic region. Top image represents the unfiltered solution while the bottom image represents the CRI-filtered solution.

 

Figure 2: Mascon solutions depicted for 1 month over Greenland and North Atlantic region. Top image represents the unfiltered solution while the bottom image represents the CRI-filtered solution.

 

 

Figure 4: GRACE solution comparison of 2003-2012 trends in water mass (cm/year). Top image uses the CRI-filtered Mascon solution. Bottom image uses the JPL RL05 Harmonics, Destriped, 300 km smoothed solution.  The California drought signal is more evident in the Mascon solution due to how the data are processed.

 

 

Figure 3: GRACE solution comparison of 2003-2012 trends in water mass (cm/year). Top image uses the CRI-filtered Mascon solution. Bottom image uses the JPL RL05 Harmonics, Destriped, 300 km smoothed solution.  The California drought signal is more evident in the Mascon solution due to how the data are processed.

 

SWOT Global River Discharge & Water Quality Estimates Now Available

PO.DAAC is pleased to announce the public release of the SWOT L4 Sword of Science River Discharge Products, Version 3. The SWOT mission is implemented jointly by NASA and Centre National D'Etudes Spatiales (CNES) to provide valuable data and information about the world's oceans and its terrestrial surface water such as lakes, rivers, and wetlands. This data collection provides discharge time series for the six flow law parameter estimate (FLPE) algorithms and a single ‘consensus’ estimate that represents the canonical ‘SWOT Discharge.’ 

SWOT Global River Discharge & Water Quality Estimates Now Available

2026-01-08

PO.DAAC is pleased to announce the public release of the SWOT Level 4 Sword of Science River Discharge Products, Version 3.

The SWOT mission is implemented jointly by NASA and Centre National D'Etudes Spatiales (CNES) to provide valuable data and information about the world's oceans and its terrestrial surface water such as lakes, rivers, and wetlands. This data collection provides discharge time series for the six flow law parameter estimate (FLPE) algorithms and a single ‘consensus’ estimate that represents the canonical ‘SWOT Discharge.’

The dataset can be accessed through NASA Earthdata Search and through the DOI: https://doi.org/10.5067/SWOT-SOS-RD3 link to the corresponding dataset landing page.

Newsletter: 

Sentinel-6A Michael Freilich Reprocessed Altimetry Datasets Release

2025-12-04

The PO.DAAC is pleased to announce the release of reprocessed Level 1A (L1A), Level 1B (L1B), Level 2 (L2), Level 2P (L2P), and Level 3 (L3) altimetry data from the Sentinel-6 Michael Freilich/Jason CS radar altimeter mission. This mission aims to provide high-precision measurements of global sea-level that build upon the extensive record of observations from the previous Jason series altimetry missions. Datasets in this release were processed with the latest Sentinel-6 processing baseline (G01).

The new baseline collection G01 adds a major improvement to both LR and HR products by incorporating the GDR-G standards, including a new orbit solution following POE-G standards. 

Newsletter: 

Data in Action: Potential of SWOT for Sea Ice Monitoring Unveiled

This study underscores SWOT’s potential to provide two-dimensional estimates of sea ice thickness—essential to quantify exchanges between sea ice, the atmosphere, and the ocean, which current altimeters cannot provide. SWOT sea ice measurements can also support applications that demand greater spatial coverage and more frequent sampling, including process studies, seasonal forecasting, and navigation.

Release of GHRSST Level 4 Sea Surface Temperature SPoRT dataset

2025-07-30

The PO.DAAC is pleased to announce the public release of the GHRSST Level 4 SPoRT Global Foundation Sea Surface Temperature Analysis (v1.0) dataset produced by the NASA Short-term Prediction Research and Transition (SPoRT) project at the NASA Marshall Space Flight Center (MSFC). This dataset provides continuous, high-resolution, composited near-global (80N-80S) sea surface temperature fields twice daily at 2 km resolution for regional weather, maritime, and coastal applications. 

 

The SPoRT SST analysis composites seven-days of Visible Infrared Imaging Radiometer Suite (VIIRS) and Advanced Very High Resolution Radiometer (AVHRR) satellite L2 SST data, with additional data from OSTIA and Geo-Polar Blended L4 SST products into a single analysis. 

 

Newsletter: 

SWOT River Reach GIS Feature Service Now Available

2025-07-23

The PO.DAAC is pleased to announce the availability of the Surface Water and Ocean Topography (SWOT) Level 2 River Single-Pass Vector Data Product as a Geographical Information System (GIS) service.

 

Made available through NASA’s Earthdata GIS. These services allow you to access, visualize and analyze SWOT River data through your GIS software of choice without the need to download.

 

The services are available as both ArcGIS REST Feature Service and Image Service endpoints, as well as Open Geospatial Consortium (OGC) endpoints.

For more information on all available services please visit the PO.DAAC Cookbook and GIS chapter which highlights how to access the services in ArcGIS Pro, QGIS and Python.

Newsletter: 

Data in Action: Sediment Accumulation at the Amazon Coast Observed by Satellite Gravimetry

The Gravity Recovery And Climate Experiment (GRACE) satellite mission, a collaboration of the US and German space agencies (NASA and DLR), was launched in 2002, followed by the GRACE-FO (GRACE Follow-On) mission, a collaboration between NASA and Germany’s GFZ, launched in 2018. By accurately measuring month-to-month mass changes across the Earth, a recent study4 shows that GRACE and GRACE-FO can be used to detect sediment accumulation. With more than 20 years of data, subtle mass changes can now be observed. The estimated accumulation rate of sediment on the Amazon continental shelf is approximately 1,301 Megatons per year for the period June 2002 to May 2023 which is consistent with prior estimates based on in situ measurements.

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