土木分野におけるAIの活用（その9）

[CS14-58] Data-driven method for short-term precipitation forecast using Koopman operator analysis

*SHITAO ZHENG¹, Takashi Miyamoto¹, Shingo Shimizu², Ryohei Kato², Ken-ichi Shimose², Koyuru Iwanami² (1. University of Yamanashi, 2. National Research Institute for Earth Science and Disaster Resilience)

Keywords:short-term precipitation prediction, data-driven model, koopman operator analysis, optical flow