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Data assimilation combines the computer model simulation and real-world data based on dynamical systems theory and statistical mathematics. Data assimilation addresses predictability of dynamical systems and has long been playing a crucial role in numerical weather prediction. Data Assimilation Research Team (DA Team) has been working on various problems of data assimilation, mainly focusing on weather prediction. In July 2018, a broad area in western Japan was damaged severely due to record-breaking heavy rainfall. DA Team developed real-time regional and global weather forecasting systems and investigated the historic rainfall event using these systems. Also, DA Team took the lead in organizing a rapid-response conference for meteorologist in August, about a month later of the event, in collaboration with the Computational Climate Science Research Team. In this presentation, we will report recent research progress of DA Team mainly focusing on the investigation related to the July 2018 rainfall event.