Predicting rapid intensification of tropical cyclones in the western North Pacific: a machine learning and net energy gain rate approach

In this study, a machine learning (ML)-based Tropical Cyclones (TCs) Rapid Intensification (RI) prediction model has been developed by using the Net Energy Gain Rate Index (NGR). This index realistically captures the energy exchanges between the ocean and the atmosphere during the intensification of...

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Detalhes bibliográficos

Principais autores:	Sung-Hun Kim, Woojeong Lee, Hyoun-Woo Kang, Sok Kuh Kang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2024-01-01
coleção:	Frontiers in Marine Science
Assuntos:	rapid intensification of the tropical cyclone drag coefficient tropical cyclone-ocean interaction tropical cyclone-induced vertical ocean mixing machine learning
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fmars.2023.1296274/full
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