A Deep Learning-Based Downscaling Method Considering the Impact on Typhoons to Future Precipitation in Taiwan

A Deep Learning-Based Downscaling Method Considering the Impact on Typhoons to Future Precipitation in Taiwan

This study proposes a deep neural network (DNN)-based downscaling model incorporating kernel principal component analysis (KPCA) to investigate the precipitation uncertainty influenced by typhoons in Taiwan, which has a complex island topography. The best tracking data of tropical cyclones from the...

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Bibliographic Details
Main Authors: Shiu-Shin Lin, Kai-Yang Zhu, Chen-Yu Wang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Atmosphere
Subjects:
IPCC Fifth Assessment Report
climate change
deep neural network
typhoon
uncertainty
kernel principal component analysis
Online Access:https://www.mdpi.com/2073-4433/15/3/371

Internet

https://www.mdpi.com/2073-4433/15/3/371

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