Verification of forecasting efficiency to cloud microphysical characters of mesoscale numerical model for artificial rainfall enhancement by using TRMM satellite data

An analysis is preformed on forecast capabilities of cloud microphysical properties and rainfall by using cloud liquid water, precipitation water, cloud ice water and precipitation ice data retrieved from TRMM satellite and observed precipitation data. Results show that: (1) Precipitation forecast capability of artificial rainfall model has better performance than that of operational model GRAPES. (2) It is capable of better predicting vertical distributions of microphysical quantities of cloud. (3) The horizontal distribution structures, variable values and the position of the most intensity of each hydrometeors of model are consistent with those of TRMM satellite at operation height levels. (4) Because of its good performance on predicting cloud microphysical fields and synoptic situations, artificial rainfall enhancement model will provide valuable information for decision making of operation divisions.