Downscaling Taiwan precipitation with a residual deep learning approach

Downscaling Taiwan precipitation with a residual deep learning approach

Abstract In response to the growing demand for high-resolution rainfall data to support disaster prevention in Taiwan, this study presents an innovative approach for downscaling precipitation data. We employed a hierarchical architecture of Multi-Scale Residual Networks (MSRN) to downscale rainfall...

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Bibliografiska uppgifter
Huvudupphovsmän: Li-Huan Hsu, Chou-Chun Chiang, Kuan-Ling Lin, Hsin-Hung Lin, Jung-Lien Chu, Yi-Chiang Yu, Chin-Shyurng Fahn
Materialtyp: Artikel
Språk:English
Publicerad: SpringerOpen 2024-05-01
Serie:Geoscience Letters
Ämnen:
Downscaling
Super-resolution
Deep learning
Residual network
Precipitation forecasting
Länkar:https://doi.org/10.1186/s40562-024-00340-y

Internet

https://doi.org/10.1186/s40562-024-00340-y

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