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

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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Bibliographic Details
Main Authors: Tao Yang, Fubao Sun, Pierre Gentine, Wenbin Liu, Hong Wang, Jiabo Yin, Muye Du, Changming Liu
Format: Article
Language:English
Published: IOP Publishing 2019-01-01
Series:Environmental Research Letters
Subjects:
flood simulation
machine learning
global hydrological model
long short-term memory
Online Access:https://doi.org/10.1088/1748-9326/ab4d5e

Internet

https://doi.org/10.1088/1748-9326/ab4d5e

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