Mon Dec 15, F. Flechtner
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Prusevich, A. A., Lammers, R. B., Grogan, D. S., Zuidema, S., Meko, D. M., Rounce, D. R., Hock, R., and Velicogna, I., 2025. Decomposing land surface total water storage in the Indus, Ganges, and Brahmaputra basins. Frontiers in Earth Science, 13:1551218, doi:10.3389/feart.2025.1551218.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025FrEaS..1351218P,
author = {{Prusevich}, A.~A. and {Lammers}, R.~B. and {Grogan}, D.~S. and {Zuidema}, S. and {Meko}, D.~M. and {Rounce}, D.~R. and {Hock}, R. and {Velicogna}, I.},
title = "{Decomposing land surface total water storage in the Indus, Ganges, and Brahmaputra basins}",
journal = {Frontiers in Earth Science},
keywords = {hydrology, total water storage, High Mountain Asia, GRACE seasonal cycle TWS, modeling},
year = 2025,
month = sep,
volume = {13},
eid = {1551218},
pages = {1551218},
abstract = "{The goal of this study is to decompose the influence of specific
hydrologic reservoirs in the Earth's critical zone that interact
to create observed total water supply (TWS) anomalies in the
highly altered and densely populated Indus, Ganges, and
Brahmaputra drainage basins. Understanding the contributions to
TWS anomalies can help find potential solutions for the
sustainability of human water supply. We compare changes in the
macroscale hydrology of three important High Mountain Asian
drainage basins through seasonal and long-term trends in TWS.
Statistical time-series analysis of nine individual TWS
components modeled by a hydrologic model are used to simulate
water storage terms. Long-term TWS trends look similar across
the study basins, we find that the drivers and causes of trends
and their seasonal variability are fundamentally different in
each basin. TWS declines in the Indus and Ganges watersheds are
primarily driven by the depletion of aquifers (67\% and 76\%,
respectively) due to irrigated land expansion and water overuse.
The Brahmaputra lower aquifer water use stress, and its TWS drop
is mostly due to the melting of glaciers, the highest rate over
all three basins. The Ganges and Brahmaputra have a quasi-
monotonic decline of TWS, and the Indus basin exhibits a non-
monotonic trend line of TWS due to different stages of its
aquifer depletion relevant to aquifer water accessibility
limited by well depth thresholds. Seasonal variability is
primarily controlled by soil moisture saturation, shallow
groundwater levels, reservoir storage, and snow accumulation for
the Ganges and Brahmaputra basins. The Indus is driven by high
mountain storage of snow and glaciers. The combination of
hydrologic modeling and gravity observations show the
effectiveness of identifying the critical components that make
up TWS. Understanding the spatially heterogeneous drivers of
observed TWS decline allows us to translate satellite
observations into policy-relevant information. Because this
functionality is built within a process-based hydrological
model, future projections can illuminate those aspects of the
hydrological cycle that require additional attention by decision
makers to ensure adequate water resources are available for all.}",
doi = {10.3389/feart.2025.1551218},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025FrEaS..1351218P},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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