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

Date

2021-10-01

Author

Tu, Tongbi
Ishida, Kei
Ercan, Ali
Kiyama, Masato
Amagasaki, Motoki
Zhao, Tongtiegang

Metadata

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Study region: Kuma River Watershed in Japan.

Subject Keywords

WRF, Convolutional neural network, Precipitation, Downscaling, Deep learning, EXTREME PRECIPITATION, MODEL

URI

https://hdl.handle.net/11511/100416

Journal

JOURNAL OF HYDROLOGY-REGIONAL STUDIES

DOI

https://doi.org/10.1016/j.ejrh.2021.100921

Collections

Department of Civil Engineering, Article

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Citation Formats

T. Tu, K. Ishida, A. Ercan, M. Kiyama, M. Amagasaki, and T. Zhao, “Hybrid precipitation downscaling over coastal watersheds in Japan using WRF and CNN,” JOURNAL OF HYDROLOGY-REGIONAL STUDIES, vol. 37, pp. 0–0, 2021, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/100416.