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Seasonal catchment memory of high mountain rivers in the Tibetan Plateau

Earth Sciences

Seasonal catchment memory of high mountain rivers in the Tibetan Plateau

H. Gu, Y. Xu, et al.

This research, conducted by Haiting Gu and colleagues, explores how rivers from the Tibetan Plateau impact water storage changes and catchment memory across eight basins in Asia. Discover how precipitation and temperature influence seasonal catchment memory and enhance streamflow forecasts and water management strategies.

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~3 min • Beginner • English
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.
Publisher
Nature Communications
Published On
Jun 01, 2023
Authors
Haiting Gu, Yue-Ping Xu, Li Liu, Jingkai Xie, Lu Wang, Suli Pan, Yuxue Guo
Tags
Tibetan Plateau
water storage
catchment memory
precipitation
temperature
streamflow forecasts
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