Urban wind database for immediate high-resolution prediction

Onodera, Naoyuki   ; Hasegawa, Yuta   ; Idomura, Yasuhiro   ; Asahi, Yuichi   ; Kawamura, Takuma ; Ina, Takuya ; Shimomura, Kazuya ; Inagaki, Atsushi*; Suzuki, Shinichi*; Hirano, Kohin*; Shimose, Kenichi*; Shimokawabe, Takashi*

Wind prediction based on digital twin is a promising technology that can contribute to the construction of new social infrastructures, including applications to smart city design and operation. In this poster presentation, we will introduce wind simulations based on data assimilation with observations and mesoscale meteorological data for the realization of a digital twin of wind conditions in urban areas.