Enhanced Tropical Cyclone Precipitation Prediction in the Northwest Pacific Using Deep Learning Models and Ensemble Techniques

Enhanced Tropical Cyclone Precipitation Prediction in the Northwest Pacific Using Deep Learning Models and Ensemble Techniques

This study focuses on optimizing precipitation forecast induced by tropical cyclones (TCs) in the Northwest Pacific region, with lead times ranging from 6 to 72 h. The research employs deep learning models, such as U-Net, UNet3+, SE-Net, and SE-UNet3+, which utilize precipitation forecast data from...

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Bibliographic Details
Main Authors: Lunkai He, Qinglan Li, Jiali Zhang, Xiaowei Deng, Zhijian Wu, Yaoming Wang, Pak-Wai Chan, Na Li
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Water
Subjects:
tropical cyclone
precipitation forecast
U-Net
Northwest Pacific
Online Access:https://www.mdpi.com/2073-4441/16/5/671

Internet

https://www.mdpi.com/2073-4441/16/5/671

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