Mon Dec 15, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Tiwari, Amar Deep, Pokhrel, Yadu, Felfelani, Farshid, Elkouk, Ahmed, Boulange, Julien, Gosling, Simon N., Hanasaki, Naota, Koutroulis, Aristeidis, Mishra, Vimal, Schmied, Hannes Müller, Satoh, Yusuke, Ostberg, Sebastian, Stacke, Tobias, and Yin, Jiabo, 2025. Underestimation of Historical Terrestrial Water Storage Droughts in Global Water Models. Geophysical Research Letters, 52(19):e2025GL115164, doi:10.1029/2025GL115164.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025GeoRL..5215164T,
author = {{Tiwari}, Amar Deep and {Pokhrel}, Yadu and {Felfelani}, Farshid and {Elkouk}, Ahmed and {Boulange}, Julien and {Gosling}, Simon N. and {Hanasaki}, Naota and {Koutroulis}, Aristeidis and {Mishra}, Vimal and {Schmied}, Hannes M{\"u}ller and {Satoh}, Yusuke and {Ostberg}, Sebastian and {Stacke}, Tobias and {Yin}, Jiabo},
title = "{Underestimation of Historical Terrestrial Water Storage Droughts in Global Water Models}",
journal = {\grl},
keywords = {TWS, drought, modeling, hydrology, GWM},
year = 2025,
month = oct,
volume = {52},
number = {19},
eid = {e2025GL115164},
pages = {e2025GL115164},
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{\textendash}2019) compared to 2002{\textendash}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.}",
doi = {10.1029/2025GL115164},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025GeoRL..5215164T},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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