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Zhu, Hai, Chen, Kejie, Li, Mingjia, Hu, Shunqiang, Zhang, Guoqing, Kuang, Xingxing, Cui, Wenfeng, Zhang, Shengpeng, and Liu, Junguo, 2025. Terrestrial Water Storage Changes of Qinghai Lake on the Tibetan Plateau From Joint Inversion of GNSS and InSAR Data. Water Resources Research, 61(6):e2024WR039503, doi:10.1029/2024WR039503.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025WRR....6139503Z,
author = {{Zhu}, Hai and {Chen}, Kejie and {Li}, Mingjia and {Hu}, Shunqiang and {Zhang}, Guoqing and {Kuang}, Xingxing and {Cui}, Wenfeng and {Zhang}, Shengpeng and {Liu}, Junguo},
title = "{Terrestrial Water Storage Changes of Qinghai Lake on the Tibetan Plateau From Joint Inversion of GNSS and InSAR Data}",
journal = {Water Resources Research},
keywords = {GNSS, InSAR, joint inversion, loading deformation, lake storage monitoring},
year = 2025,
month = jun,
volume = {61},
number = {6},
eid = {e2024WR039503},
pages = {e2024WR039503},
abstract = "{Although geodetic techniques like Gravity Recovery and Climate
Experiment have been widely applied to investigate terrestrial
water storage (TWS) variations at regional or basin scales on
the Tibetan Plateau (TP) caused by global warming, their coarse
spatial has limited the study of individual lakes. In this
study, we overcome this limitation by jointly using Global
Navigation Satellite System (GNSS) and Interferometric Synthetic
Aperture Radar (InSAR) data to generate a high-precision, high-
resolution surface deformation field, enabling the quantitative
assessment of TWS changes for Qinghai Lake, from January 2016 to
December 2022. By leveraging Independent Component Analysis to
extract surface deformation induced by lake hydrological loads,
we find that the deformation caused by Qinghai Lake's
hydrological changes is spatially limited to within
approximately 25 km of the lake and is largely overshadowed by
regional background loads of the TP. The region surrounding
Qinghai Lake exhibited an overall trend of initial subsidence
(from January 2016 to August 2019, -2.89 to -0.30 mm/yr)
followed by uplift (from September 2019 to December 2022, 2.20
to 4.89 mm/yr), primarily driven by variations in precipitation
patterns. Notably, we found that lake water volume increase
accounts for up to 86\% of the total TWS changes in Qinghai
Lake, underscoring the relatively marginal role of groundwater
compared to previous assessments in Inner TP where groundwater
accounted for 34\% of TWS changes. This study demonstrates the
effectiveness of integrating GNSS and InSAR data to overcome
spatial resolution limitations, providing detailed insights into
the hydrological dynamics of individual lakes like Qinghai Lake,
and contributes to a more comprehensive understanding of TP's
hydrological changes under the influence of climate change.}",
doi = {10.1029/2024WR039503},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025WRR....6139503Z},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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