The Global Gravity-based Groundwater Product (G3P)
Abstract
Groundwater is one of the most important freshwater resources for ecosystems and mankind.Because of its fundamental role in the Earth's water and energy cycles, groundwater has been declared an essential climate variable by GCOS, the Global Climate Observing System.Similar to other subsurface states and fluxes, groundwater is difficult to monitor at the global scale, with sufficient spatial coverage and over climate-relevant time scales.The Global Gravity-based Groundwater Product (G3P) is a global observation-based data set of large-scale groundwater storage variations.G3P capitalizes on the 25 unique capability of GRACE and GRACE-FO satellite gravimetry as the only remote sensing technology to monitor subsurface mass variations.In a mass balance approach, satellite-based, in situ observation-based and model-based water storage variations of snow water equivalent, root-zone soil moisture, glacier mass, and surface water storage are subtracted from GRACE/-FO terrestrial water storage anomalies to result in monthly variations of groundwater storage.For this combination, the individual compartmental storage data are spatially filtered to be consistent with the spatial resolution of terrestrial water 30 storage from satellite gravimetry.The G3P data set presented here covers the period 2002 to 2023 with monthly resolution on a 0.5° global grid and includes propagated uncertainty information.We describe the details of the G3P data processing chain and of each contributing data stream, provide examples of spatial and temporal groundwater storage variations represented by the G3P data set, and present exemplary evaluation results against in situ groundwater observations for three large aquifer systems.G3P is a prototype for an operational global groundwater service, under development as a cross-cutting extension of 35
Fields of Study & Subjects
Geophysics and Gravity Measurements
Soil Moisture and Remote Sensing
Hydrology and Watershed Management Studies
Publication details
- Journal / source
- Repository KITopen (Karlsruhe Institute of Technology)
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Book