Articles | Volume 29, issue 3
https://doi.org/10.5194/hess-29-733-2025
https://doi.org/10.5194/hess-29-733-2025
Research article
 | 
07 Feb 2025
Research article |  | 07 Feb 2025

Assessing national exposure to and impact of glacial lake outburst floods considering uncertainty under data sparsity

Huili Chen, Qiuhua Liang, Jiaheng Zhao, and Sudan Bikash Maharjan

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Short summary
Glacial lake outburst floods (GLOFs) can cause serious damage. To assess their risks, we developed an innovative framework using remote sensing, Bayesian models, flood modelling, and open-source data. This enables us to evaluate GLOFs on a national scale, despite limited data and challenges accessing high-altitude lakes. We evaluated dangerous lakes in Nepal, identifying those most at risk. This work is crucial for understanding GLOF risks, and the framework can be transferred to other areas.
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