Southwest Pacific Tropical Cyclone Rapid Intensification Classification Utilizing Machine Learning

Southwest Pacific Tropical Cyclone Rapid Intensification Classification Utilizing Machine Learning

This study evaluates the ability of three machine learning methods—decision tree classifier (DTC), random forest classifier (RFC), and XGBoost classifier (XGBC)—to classify and predict tropical cyclone (TC) rapid intensification (RI) and non-RI over the Southwest Pacific Ocean basin (SWPO) from 1982...

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Bibliographic Details
Main Author: Rupsa Bhowmick
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Atmosphere
Subjects:
tropical cyclone
rapid intensification
classification
machine learning
Southwest Pacific Ocean basin
Online Access:https://www.mdpi.com/2073-4433/16/4/456
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