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  Underestimation of Historical Terrestrial Water Storage Droughts in Global Water Models

Tiwari, A. D., Pokhrel, Y., Felfelani, F., Elkouk, A., Boulange, J., Gosling, S. N., Hanasaki, N., Koutroulis, A., Mishra, V., Schmied, H. M., Satoh, Y., Ostberg, S., Stacke, T., Yin, J. (2025): Underestimation of Historical Terrestrial Water Storage Droughts in Global Water Models. - Geophysical Research Letters, 52, 19, e2025GL115164.
https://doi.org/10.1029/2025GL115164

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Geophysical Research Letters - 2025 - Tiwari - Underestimation of Historical Terrestrial Water Storage Droughts in Global.pdf (Publisher version), 3MB
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Geophysical Research Letters - 2025 - Tiwari - Underestimation of Historical Terrestrial Water Storage Droughts in Global.pdf
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 Creators:
Tiwari, Amar Deep1, Author
Pokhrel, Yadu1, Author
Felfelani, Farshid1, Author
Elkouk, Ahmed1, Author
Boulange, Julien1, Author
Gosling, Simon N.1, Author
Hanasaki, Naota1, Author
Koutroulis, Aristeidis1, Author
Mishra, Vimal1, Author
Schmied, Hannes Müller1, Author
Satoh, Yusuke1, Author
Ostberg, Sebastian2, Author                 
Stacke, Tobias1, Author
Yin, Jiabo1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Enhanced drought modeling is crucial for realistic prediction and effective management of water resources, especially with climate change anticipated to exacerbate drought frequency and severity. Global water models (GWMs) simulate historical and future terrestrial water storage (TWS) with continuous spatial and temporal coverage. However, a global evaluation of TWS simulations by GWMs focused on drought is lacking. Here we evaluate, for the first time, GWMs' capability to represent TWS droughts by comparing simulations with Gravity Recovery and Climate Experiment satellite data. We find notable underestimation of drought severity and coverage by GWMs, across diverse regions, including North America, South America, Africa, and Northern Asia. When examined without trend removal, the underestimation of TWS droughts is more pronounced in recent years (2016–2019) compared to 2002–2015, especially in northern latitudes. This underrepresentation highlights the necessity to improve GWMs to simulate TWS droughts. Our results imply that previously reported future TWS projections could have underestimated droughts.

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Language(s): eng - English
 Dates: 2025-01-312025-09-162025-09-302025-10-16
 Publication Status: Finally published
 Pages: 14
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1029/2025GL115164
Organisational keyword: RD2 - Climate Resilience
PIKDOMAIN: RD2 - Climate Resilience
Working Group: Land Biosphere Dynamics
MDB-ID: No data to archive
Model / method: LPJmL
Model / method: Model Intercomparison
Regional keyword: Global
Research topic keyword: Extremes
Research topic keyword: Freshwater
OATYPE: Gold Open Access
 Degree: -

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Title: Geophysical Research Letters
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 52 (19) Sequence Number: e2025GL115164 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals182
Publisher: Wiley