Articles | Volume 17, issue 2
https://doi.org/10.5194/essd-17-611-2025
https://doi.org/10.5194/essd-17-611-2025
Data description paper
 | 
11 Feb 2025
Data description paper |  | 11 Feb 2025

GravIS: mass anomaly products from satellite gravimetry

Christoph Dahle, Eva Boergens, Ingo Sasgen, Thorben Döhne, Sven Reißland, Henryk Dobslaw, Volker Klemann, Michael Murböck, Rolf König, Robert Dill, Mike Sips, Ulrike Sylla, Andreas Groh, Martin Horwath, and Frank Flechtner

Data sets

Post-processed GRACE/GRACE-FO Geopotential GSM Coefficients GFZ RL06 (Level-2B Product) Christoph Dahle and Michael Murböck https://doi.org/10.5880/GFZ.GRAVIS_06_L2B

Post-processed GRACE/GRACE-FO Geopotential GSM Coefficients COST-G RL01 (Level-2B Product) Christoph Dahle and Michael Murböck https://doi.org/10.5880/COST-G.GRAVIS_01_L2B

GFZ GravIS RL06 Continental Water Storage Anomalies Eva Boergens et al. https://doi.org/10.5880/GFZ.GRAVIS_06_L3_TWS

COST-G GravIS RL01 Continental Water Storage Anomalies Eva Boergens et al. https://doi.org/10.5880/COST-G.GRAVIS_01_L3_TWS

GFZ GravIS RL06 Ocean Bottom Pressure Anomalies Henryk Dobslaw et al. https://doi.org/10.5880/GFZ.GRAVIS_06_L3_OBP

COST-G GravIS RL01 Ocean Bottom Pressure Anomalies Henryk Dobslaw et al. https://doi.org/10.5880/COST-G.GRAVIS_01_L3_OBP

GFZ GravIS RL06 Ice-Mass Change Products Ingo Sasgen et al. https://doi.org/10.5880/GFZ.GRAVIS_06_L3_ICE

COST-G GravIS RL01 Ice-Mass Change Products Ingo Sasgen et al. https://doi.org/10.5880/COST-G.GRAVIS_01_L3_ICE

Model code and software

Python Package Regional TWS Uncertainty E. Boergens https://doi.org/10.5880/GFZ.1.3.2021.005

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Short summary
GRACE and GRACE-FO are unique observing systems to quantify mass changes at the Earth’s surface from space. Time series of these mass changes are of high value for various applications, e.g., in hydrology, glaciology, and oceanography. GravIS (Gravity Information Service) provides easy access to user-friendly, regularly updated mass anomaly products. The portal visualizes and describes these data, aiming to highlight their significance for understanding changes in the climate system.
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