Machine learning in calibrating tropical cyclone intensity forecast of ECMWF EPS

Abstract Intensity prediction of tropical cyclones (TC) has been one of the major challenges for the operational forecast and warning service, as well as consequential assessment of impacts including high winds, storm surge and heavy rainfall caused by TC. With the advances in global numerical weath...

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Detalles Bibliográficos

Autores principales:	Ming Hei Kenneth Chan, Wai Kin Wong, Kin Chung Au‐Yeung
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Wiley 2021-11-01
Colección:	Meteorological Applications
Materias:	Hong Kong Observatory intensity forecast machine learning rapid intensification tropical cyclone XGBoost
Acceso en línea:	https://doi.org/10.1002/met.2041
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