Comparative Analysis of Machine Learning Models for Tropical Cyclone Intensity Estimation

Estimating tropical cyclone (TC) intensity is crucial for disaster reduction and risk management. This study aims to estimate TC intensity using machine learning (ML) models. We utilized eight ML models to predict TC intensity, incorporating factors such as TC location, central pressure, distance to...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Yuei-An Liou, Truong-Vinh Le
Format:	Article
Language:	English
Published:	MDPI AG 2024-08-01
Subjects:	machine learning tropical cyclone WNP ENSO
Online Access:	https://www.mdpi.com/2072-4292/16/17/3138