Seasonal catchment memory of high mountain rivers in the Tibetan Plateau

Haiting Gu, Yue-Ping Xu (), Li Liu, Jingkai Xie, Lu Wang, Suli Pan and Yuxue Guo
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Haiting Gu: Zhejiang University
Yue-Ping Xu: Zhejiang University
Li Liu: Zhejiang University
Jingkai Xie: Zhejiang University
Lu Wang: Zhejiang University
Suli Pan: Zhejiang University
Yuxue Guo: Zhejiang University

Nature Communications, 2023, vol. 14, issue 1, 1-14

Abstract: Abstract Rivers originating in the Tibetan Plateau are crucial to the population in Asia. However, research about quantifying seasonal catchment memory of these rivers is still limited. Here, we propose a model able to accurately estimate terrestrial water storage change (TWSC), and characterize catchment memory processes and durations using the memory curve and the influence/domination time, respectively. By investigating eight representative basins of the region, we find that the seasonal catchment memory in precipitation-dominated basins is mainly controlled by precipitation, and that in non-precipitation-dominated basins is strongly influenced by temperature. We further uncover that in precipitation-dominated basins, longer influence time corresponds to longer domination time, with the influence/domination time of approximately six/four months during monsoon season. In addition, the long-term catchment memory is observed in non-precipitation-dominated basins. Quantifying catchment memory can identify efficient lead times for seasonal streamflow forecasts and water resource management.

Date: 2023
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DOI: 10.1038/s41467-023-38966-9

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