Hybrid precipitation downscaling over coastal watersheds in Japan using WRF and CNN

Hybrid precipitation downscaling over coastal watersheds in Japan using WRF and CNN

Study region: Kuma River Watershed in Japan. Study focus: High-quality precipitation information is desirable in hydrological modeling and water resources management. This study aimed to generate long-term fine-resolution precipitation datasets over the study region. A hybrid downscaling framework t...

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Bibliographic Details
Main Authors: Tongbi Tu, Kei Ishida, Ali Ercan, Masato Kiyama, Motoki Amagasaki, Tongtiegang Zhao
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:Journal of Hydrology: Regional Studies
Subjects:
WRF
Convolutional neural network
Precipitation
Downscaling
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581821001506

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