Articles | Volume 28, issue 20
https://doi.org/10.5194/hess-28-4521-2024
https://doi.org/10.5194/hess-28-4521-2024
Research article
 | 
16 Oct 2024
Research article |  | 16 Oct 2024

Hybrid hydrological modeling for large alpine basins: a semi-distributed approach

Bu Li, Ting Sun, Fuqiang Tian, Mahmut Tudaji, Li Qin, and Guangheng Ni

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Latest update: 09 Oct 2025
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Short summary
This paper developed hybrid semi-distributed hydrological models by employing a process-based model as the backbone and utilizing deep learning to parameterize and replace internal modules. The main contribution is to provide a high-performance tool enriched with explicit hydrological knowledge for hydrological prediction and to improve understanding about the hydrological sensitivities to climate change in large alpine basins.
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