Articles | Volume 29, issue 4
https://doi.org/10.5194/hess-29-969-2025
https://doi.org/10.5194/hess-29-969-2025
Research article
 | 
24 Feb 2025
Research article |  | 24 Feb 2025

A mathematical model to improve water storage of glacial lake prediction towards addressing glacial lake outburst floods

Miaomiao Qi, Shiyin Liu, Zhifang Zhao, Yongpeng Gao, Fuming Xie, Georg Veh, Letian Xiao, Jinlong Jing, Yu Zhu, and Kunpeng Wu

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Short summary
Here we propose a new mathematically robust and cost-effective model to improve glacial lake water storage estimation. We have also provided a dataset of measured water storage in glacial lakes through field depth measurements. Our model incorporates an automated calculation process and outperforms previous ones, achieving an average relative error of only 14 %. This research offers a valuable tool for researchers seeking to improve the risk assessment of glacial lake outburst floods.
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