Short-Term Intensity Prediction of Tropical Cyclones Based on Multi-Source Data Fusion with Adaptive Weight Learning

Short-Term Intensity Prediction of Tropical Cyclones Based on Multi-Source Data Fusion with Adaptive Weight Learning

Tropical cyclones (TCs) can cause significant economic damage and loss of life in coastal areas. Therefore, TC prediction has become a crucial topic in current research. In recent years, TC track prediction has progressed considerably, and intensity prediction remains a challenge due to the complex...

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Bibliographic Details
Main Authors: Wei Tian, Ping Song, Yuanyuan Chen, Haifeng Xu, Cheng Jin, Kenny Thiam Choy Lim Kam Sian
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
tropical cyclone
intensity prediction
remote sensing data
adaptive weight learning
Online Access:https://www.mdpi.com/2072-4292/16/6/984

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