Tropical Cyclone Intensity Prediction Using Deep Convolutional Neural Network

Tropical Cyclone Intensity Prediction Using Deep Convolutional Neural Network

In this study, deep convolutional neural network (CNN) models of stimulated tropical cyclone intensity (TCI), minimum central pressure (MCP), and maximum 2 min mean wind speed at near center (MWS) were constructed based on ocean and atmospheric reanalysis, as well Best Track of tropical hurricane da...

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Detalles Bibliográficos
Autores principales: Xiao-Yan Xu, Min Shao, Pu-Long Chen, Qin-Geng Wang
Formato: Artículo
Lenguaje:English
Publicado: MDPI AG 2022-05-01
Colección:Atmosphere
Materias:
tropical cyclone
deep learning
convolutional neural network
interpretability
Acceso en línea:https://www.mdpi.com/2073-4433/13/5/783

Internet

https://www.mdpi.com/2073-4433/13/5/783

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