As an efficient approach to improve the accuracy of numerical weather prediction (NWP),data assimilation has been received more and more attention.The application of high resolution satellite data to compensate the deficiencies of spatial and temporal resolution in conventional observations in NWP becomes a key subject in this field.As a case,a heavy rainfall process during 28-29 June 1996 occurring in Yangtze-Huaihe river basin is studied with MM5 model.According to the features of physical and energy fields,three sets of quality controlling schemes are designed based on low cloud amount,low level jet and wet static energy respectively.The retrieved relative humidity fields after quality controlling and variational assimilation are used in MM5 model.It is found that the quality controlling improve the prediction of the region and amount of the rainfall greatly.The three quality controlling schemes are effective for rainfall forecast,especially the heavy rainfall.