Classification Analysis of Southwest Pacific Tropical Cyclone Intensity Changes Prior to Landfall

Classification Analysis of Southwest Pacific Tropical Cyclone Intensity Changes Prior to Landfall

This study evaluates the ability of a random forest classifier to identify tropical cyclone (TC) intensification or weakening prior to landfall over the western region of the Southwest Pacific Ocean (SWPO) basin. For both Australia mainland and SWPO island cases, when a TC first crosses land after s...

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Bibliographic Details
Main Authors: Rupsa Bhowmick, Jill C. Trepanier, Alex M. Haberlie
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Atmosphere
Subjects:
tropical cyclone forecasting
landfalling intensity
machine learning classification
random forest classifier
Southwest Pacific Ocean
Online Access:https://www.mdpi.com/2073-4433/14/2/253

Internet

https://www.mdpi.com/2073-4433/14/2/253

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