资源环境科技发展态势分析平台

Japan's new geostationary satellite Himawari-8 enables updating precipitation and flood predictions as frequently as every 10min and to capture as early as possible the flood risk associated with rapidly changing severe weather. This study focuses on the advantage of the frequent update of precipitation and flood predictions by assimilating all-sky Himawari-8 infrared radiances in the case of September 2015 Kanto-Tohoku heavy rainfall, a major flooding event in Japan. The analyzed tropical cyclone representation and moisture transport are improved by the Himawari-8 data assimilation. Deterministic runs from the analyses with the Himawari-8 data provide much improved forecasts of a strong precipitation band. Moreover, every 10min updates of river discharge forecasts driven by these improved precipitation forecasts show a large improvement in forecast skill with longer lead times. The results demonstrate that the frequent refresh aids to capture a signature of flooding at an earlier stage.