Evaluation and machine learning improvement of global hydrological model-based flood simulations

A warmer climate is expected to accelerate global hydrological cycle, causing more intense precipitation and floods. Despite recent progress in global flood risk assessment, the accuracy and improvement of global hydrological models (GHMs)-based flood simulation is insufficient for most applications...

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Autors principals:	Tao Yang, Fubao Sun, Pierre Gentine, Wenbin Liu, Hong Wang, Jiabo Yin, Muye Du, Changming Liu
Format:	Artigo
Idioma:	Inglês
Publicat:	IOP Publishing 2019-01-01
Col·lecció:	Environmental Research Letters
Matèries:	flood simulation machine learning global hydrological model long short-term memory
Accés en línia:	https://doi.org/10.1088/1748-9326/ab4d5e
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