Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Zhong, Yulong, Tian, Baoming, Kim, Hyunglok, Yuan, Xing, Liu, Xinyue, Zhu, Enda, Wu, Yunlong, Wang, Lunche, and Wang, Lizhe, 2025. Over 60% precipitation transformed into terrestrial water storage in global river basins from 2002 to 2021. Communications Earth and Environment, 6(1):53, doi:10.1038/s43247-024-01967-7.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025ComEE...6...53Z,
author = {{Zhong}, Yulong and {Tian}, Baoming and {Kim}, Hyunglok and {Yuan}, Xing and {Liu}, Xinyue and {Zhu}, Enda and {Wu}, Yunlong and {Wang}, Lunche and {Wang}, Lizhe},
title = "{Over 60\% precipitation transformed into terrestrial water storage in global river basins from 2002 to 2021}",
journal = {Communications Earth and Environment},
keywords = {Earth Sciences, Physical Geography and Environmental Geoscience},
year = 2025,
month = jan,
volume = {6},
number = {1},
eid = {53},
pages = {53},
abstract = "{The crucial role of precipitation as a primary driver for terrestrial
water cycle is well-established. However, quantifying the
transformation of daily precipitation into terrestrial water
storage remains a challenge. Here we address this by introducing
a quantitative metric, average daily fraction of precipitation
transformed into terrestrial water storage, providing an
important advancement into the dynamics of water storage by
utilizing the enhanced terrestrial water storage statistical
reconstruction method and water storage data from the Gravity
Recovery and Climate Experiment satellites and their follow-on
mission. This study reveals that approximately 64\% of land
precipitation contributes to terrestrial water storage in global
121 river basins from 2002 to 2021, with evident variations
observed across different climatic and geographical regions. Our
findings deepen perception into the complex interactions between
precipitation, land surface processes, and climate change,
offering valuable implications for future water resource
management and hydrological modeling.}",
doi = {10.1038/s43247-024-01967-7},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025ComEE...6...53Z},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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