Convolutional Neural Network with Multiple Atmospheric Variables to Emulate Dynamic Downscaling Process of RCM

Sunmin Kim

[PP-B-06] Convolutional Neural Network with Multiple Atmospheric Variables to Emulate Dynamic Downscaling Process of RCM

*Masaharu Shibata¹, Sunmin Kim¹, Yutaka Ichikawa¹, Kazuaki Yorozu¹, Tomohiro Tanaka¹, Yasuto Tachikawa¹ (1. Graduate School of Engineering, Kyoto University)

Keywords:downscaling, Convolutional Neural Network, General Circulation Model

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Presentation information

[PP-B1] グループB(1)

[PP-B-06] Convolutional Neural Network with Multiple Atmospheric Variables to Emulate Dynamic Downscaling Process of RCM

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