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...
Main Authors: | Sung-Hun Kim, Woojeong Lee, Hyoun-Woo Kang, Sok Kuh Kang |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-01-01
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Series: | Frontiers in Marine Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2023.1296274/full |
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