Development of acceleration and data assimilation techniques for wind digital twin in urban areas

Onodera, Naoyuki   

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. We have developed a wind simulation code that covers the mesoscale to the pedestrian scale to achieve a digital twin of wind. In this presentation, we will introduce GPU-based acceleration techniques and data assimilation techniques with observations data to realize a digital twin of wind conditions in urban areas.