Mon Dec 15, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Patra, Sumriti Ranjan, Chu, Hone-Jay, and Tatas, 2025. Long-term projections of global groundwater storage under future climate change scenarios using deep learning. Science of the Total Environment, 1009:181043, doi:10.1016/j.scitotenv.2025.181043.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025ScTEn100981043P,
author = {{Patra}, Sumriti Ranjan and {Chu}, Hone-Jay and {Tatas}},
title = "{Long-term projections of global groundwater storage under future climate change scenarios using deep learning}",
journal = {Science of the Total Environment},
keywords = {AI, Climate change, CMIP6, GRACE, Groundwater storage},
year = 2025,
month = dec,
volume = {1009},
eid = {181043},
pages = {181043},
abstract = "{As climate change accelerates, understanding its impact on groundwater
dynamics is essential for sustainable water management. This
study employs a climate-induced AI model to project global
variations in GRACE-derived groundwater storage (GWS) under
future scenarios e.g. CMIP6 SSPs until 2100. The model
demonstrates robust predictive performance, yielding NRMSE below
0.1 and IOA exceeding 0.9 across most regions worldwide. A
feature sensitivity analysis revealed maximum temperature (<mml:
math><mml:msup><mml:mi>T</mml:mi><mml:mi>max</mml:mi></mml:msup>
</mml:math>) as the dominant driver: an increase in <mml:math><m
ml:msup><mml:mi>T</mml:mi><mml:mi>max</mml:mi></mml:msup></mml:m
ath> led to the largest absolute GWS changes, followed by
precipitation and minimum temperature. Spatial map of
projections at global scale under the high-emission SSP585
scenario indicate that tropical and temperate regions may face
the most pronounced GWS declines, particularly when <mml:math><m
ml:msup><mml:mi>T</mml:mi><mml:mi>max</mml:mi></mml:msup></mml:m
ath> exceeds 3 {\textdegree}C. Arid zones are projected to
experience moderately high losses in comparison, while colder
regions may see slight gains. Temperature extremes are projected
to increase evaporative and crop water demand, as well as
domestic and irrigation dependence, thereby intensifying
groundwater stress, particularly in densely populated and
agriculture-dependent regions. By 2100, over half of the world's
population is expected to inhabit regions facing a decline in
GWS, while major aquifers are projected to experience GWS
declines, with the Ogallala Aquifer potentially losing up to 40
\% under severe warming conditions. These findings underscore
the importance of integrating climate-induced groundwater
changes into future water resource planning at a global scale.}",
doi = {10.1016/j.scitotenv.2025.181043},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025ScTEn100981043P},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
Generated by
bib2html_grace.pl
(written by Patrick Riley
modified for this page by Volker Klemann) on
Mon Dec 15, 2025 18:11:59
GRACE-FO
Mon Dec 15, F. Flechtner