A Machine Learning-Based Parameterized Tropical Cyclone Precipitation Model

A Machine Learning-Based Parameterized Tropical Cyclone Precipitation Model

Abstract Current simulation models considerably underestimate local-scale, short-duration extreme precipitation induced by tropical cyclones (TCs). This problem needs to be addressed to establish active response policies for TC-induced disasters. Taking Shanghai, a coastal megacity, as a study area...

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Bibliographic Details
Main Authors: Yi Lu, Jie Yin, Peiyan Chen, Hui Yu, Sirong Huang
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:International Journal of Disaster Risk Science
Subjects:
Extreme precipitation
Machine learning
Parameterized model
Shanghai
Tropical cyclone
Online Access:https://doi.org/10.1007/s13753-024-00606-1
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https://doi.org/10.1007/s13753-024-00606-1

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