The accurate simulation of typhoon-induced precipitation remains challenging despite decades of effort. One strategy that has shown great promise and fast advancement in recent years is the use of data assimilation in typhoon simulations. Previous studies that assimilated infrared satellite data using the Pennsylvania State University’s Weather Research and Forecasting - Ensemble Kalman Filter (PSU WRF - ENKF) data assimilation system have shown improvements in the track and strength of typhoons. In this follow-up study, the impacts of assimilating all-sky infrared radiances from Himawari-8 geostationary satellite to the simulation of typhoon-induced precipitation are explored. Results from simulations with and without data assimilation are compared in terms of spatial distribution, values, and extremes. The use of satellite infrared data in this study has limitations. As a next step, the use of satellite microwave data is encouraged to be explored.
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