Probabilistic forecasting of tropical cyclones intensity using machine learning model

Probabilistic forecasting of tropical cyclones intensity using machine learning model

This study proposes a machine learning approach to probabilistic forecasting of tropical cyclone (TC) intensity. The earth system is complex and nonlinear, leading to inherent uncertainty in TC forecasting at all times, and therefore a representation of this uncertainty should be provided. Previous...

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Bibliographic Details
Main Authors: Fan Meng, Yichen Yao, Zhibin Wang, Shiqiu Peng, Danya Xu, Tao Song
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Environmental Research Letters
Subjects:
tropical cyclone
machine learning
probabilistic forecasting
probabilistic machine learning
natural hazards
Online Access:https://doi.org/10.1088/1748-9326/acc8eb

Internet

https://doi.org/10.1088/1748-9326/acc8eb

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