• 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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