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To improve water vapor and cloud liquid water content in a numerical weather prediction model, Cloud Microphysics Data Assimilation System CMDAS) was developed. CMDAS improves an atmospheric condition by assimilating the brightness temperature data observed by the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E). In the optimization scheme of CMDAS, a number of combinations of integrated water vapor and cloud water content are firstly given and those integrated values are vertically distributed depending on cloud top height (CTH). Using those vertical profiles, CMDAS searches the optimal atmospheric condition through a model operator and an observation operator. In the original CMDAS, a constant value is used as CTH. In this study, a horizontal distribution of CTH estimated from Multi-functional Transport Satellite (MTSAT)observation is applied to CMDAS and the effects of CTH information which is temporally and spatially consistent are examined

doboku gakkai rombunshuu. b1, suikougaku

IMPROVING A CLOUD MICROPHYSICS DATA ASSIMILATION TECHNIQUE USING CLOUD TOP HEIGHT INFORMATION ESTIMATED FROM THE OBSERVATION BY MULTI-FUNCTIONAL TRANSPORT SATELLITE