Mon Dec 15, F. Flechtner
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Zhu, Zhenyuan, Huang, Zhiyong, Kong, Fancui, Luo, Xin, Wang, Jianping, Yang, Yingkui, and Shi, Huiyang, 2025. Revisiting the Terrestrial Water Storage Changes in the Northeastern Tibetan Plateau Using GRACE/GRACE-FO at Different Spatial Scales Considering the Impacts of Large Lakes and Reservoirs. Remote Sensing, 17(19):3272, doi:10.3390/rs17193272.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025RemS...17.3272Z,
author = {{Zhu}, Zhenyuan and {Huang}, Zhiyong and {Kong}, Fancui and {Luo}, Xin and {Wang}, Jianping and {Yang}, Yingkui and {Shi}, Huiyang},
title = "{Revisiting the Terrestrial Water Storage Changes in the Northeastern Tibetan Plateau Using GRACE/GRACE-FO at Different Spatial Scales Considering the Impacts of Large Lakes and Reservoirs}",
journal = {Remote Sensing},
keywords = {GRACE/GRACE-FO, constrained forward modeling, terrestrial water storage, component contribution ratio, northeastern Tibetan Plateau, precipitation},
year = 2025,
month = sep,
volume = {17},
number = {19},
eid = {3272},
pages = {3272},
abstract = "{What are the main findings? The constrained forward modeling (CFM)
method is effective for correcting leakage errors in terrestrial
water storage (TWS) changes in regions where large lakes and
reservoirs co-exist. Lake and reservoir water storage and
groundwater storage contribute over 85\% to TWS changes during
2003{\textendash}2022. The constrained forward modeling (CFM)
method is effective for correcting leakage errors in terrestrial
water storage (TWS) changes in regions where large lakes and
reservoirs co-exist. Lake and reservoir water storage and
groundwater storage contribute over 85\% to TWS changes during
2003{\textendash}2022. What is the implication of the main
finding? Level-2 spherical harmonic coefficients combined with
CFM enhance the detection of multi-scale TWS changes and abrupt
hydrological events. Provides a perspective for water resources
monitoring and climate-driven studies in regions where lakes and
reservoirs co-exist. Level-2 spherical harmonic coefficients
combined with CFM enhance the detection of multi-scale TWS
changes and abrupt hydrological events. Provides a perspective
for water resources monitoring and climate-driven studies in
regions where lakes and reservoirs co-exist. The large lakes and
reservoirs of the northeastern Tibetan Plateau play a key role
in regional water resources, yet their influence on terrestrial
water storage (TWS) changes at different spatial scales remains
unclear. This study employed the constrained forward modeling
(CFM) method to correct leakage errors in level-2 spherical
harmonic (SH) coefficients from the Gravity Recovery and Climate
Experiment and its follow-on missions (GRACE/GRACE-FO) at three
spatial scales: two circular regions covering 90,000 km$^{2}$
and 200,000 km$^{2}$, respectively, and a 220,000 km$^{2}$
region based on the shape of mass concentration (Mascon). TWS
changes derived from SH solutions after leakage correction
through CFM were compared with level-3 Mascon solutions.
Individual water storage components, including lake and
reservoir water storage (LRWS), groundwater storage (GWS), and
soil moisture storage (SMS), were quantified, and their
relationships with precipitation were assessed. From 2003 to
2022, the CFM method effectively mitigated signal leakage,
revealing an overall upward trend in TWS at all spatial scales.
Signals from Qinghai Lake and Longyangxia Reservoir dominated
the long-term trend and amplitude variations of LRWS,
respectively. LRWS explained more than 47\% of the TWS changes,
and together with GWS, accounted for over 85\% of the changes.
Both CFM-based and Mascon-based TWS changes indicated a
consistent upward trend from January 2003 to September 2012,
followed by declines from November 2012 to May 2017 and October
2018 to December 2022. During the decline phases, GWS
contributions increased, while LRWS contributions and component
exchange intensity decreased. LRWS, SMS, and TWS changes were
significantly correlated with precipitation, with varying time
lags. These findings underscore the value of GRACE/GRACE-FO data
for monitoring multiscale TWS dynamics and their climatic
drivers in lake- and reservoir-dominated regions.}",
doi = {10.3390/rs17193272},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025RemS...17.3272Z},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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