EGUsphere

Copernicus Publications

Göttingen, Germany

10.5194/egusphere-2026-2539

Assessing Terrestrial Water Storage Change Since the 1980s

Robertson

Franklin

¹ Bosilovich

Michael

https://orcid.org/0000-0003-2352-6809

² Rodell

Matthew

https://orcid.org/0000-0003-0106-7437

² Allan

Richard

https://orcid.org/0000-0003-0264-9447

³ Loomis

Bryant

https://orcid.org/0000-0002-9370-9160

² Beaudoing

Hiroko

https://orcid.org/0000-0002-2838-0151

² ⁴ Munoz-Sabater

Joaquin

https://orcid.org/0000-0002-5997-290X

⁵ Roberts

Jason

Earth System Science Center, University of Alabama in Huntsville, Huntsville, AL 35805

NASA/Goddard Space Flight Center, Greenbelt, MD 20771

Department of Meteorology and National Centre for Earth Observation, University of Reading, Reading, RG6 6UR, UK

Earth System Science Interdisciplinary Center, University of Maryland, College Park, College Park, MD

European Centre for Medium-Range Weather Forecasts, Bonn, Germany

08 05 2026

2026 1 51

2026

This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/

This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-2539/

The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-2539/egusphere-2026-2539.pdf

Water availability for societies and ecosystems depends upon Terrestrial Water Storage (TWS), yet global, spatially resolved measurements are largely unavailable before the advent of the Gravity Recovery and Climate Experiment (GRACE) gravimetric measurements in 2002. By exploiting a larger set of model and observations-based datasets than previously considered, along with statistical and machine learning techniques, we advance understanding of TWS changes since the 1980s, including accounting for human water management (HWM). A decline in TWS during 2002–2019 is identified for three global hydrologic models with HWM and bias-corrected precipitation forcing (-0.91 to -0.06 mm yr-1) with only one showing larger decreases than observed by GRACE observations (-0.80 mm y-1). We further identify a longer-term decline in TWS during 1980–2019 in these models, linked with regional precipitation decreases and the net effects of HWM through TWS drawdowns over northern India, southwest U.S. and northeastern China, yet the amplitude of the global land trends remains poorly quantified, ranging from -0.72 to +0.04 mm y-1. Statistical / Machine Learning (ML) reconstructions are found to match GRACE variability but their fidelity in the pre-GRACE/FO period remains unknown. A stronger decline in TWS since 1980 in the European Centre for Medium-range Weather Forecasts 5th generation reanalysis (ERA5) enhanced land component (ERA5-Land) is linked to an artificial drop in precipitation around 2000–2002 in ERA5 that is most pronounced over equatorial central Africa, northeastern China and the northern Argentina / La Plata region. Our findings urge caution in inferring changes in hydroclimate variables from ERA5-Land and other reanalyses due to inhomogeneities in the assimilated observational data. Continued emphasis on bias corrections to hydrometeorological data and better modeling of HWM are crucial to improving all retrospective analyses of changes in land surface hydrology and terrestrial water stores.

National Aeronautics and Space Administration

NASA Energy and Water Cycle Study