Biweight estimation was used for observation incremental(difference between observation and background simulated by RRTOV9 based on the NCEP Final Analysis data) during the quality control procedure.The quality control scheme was divided into two steps:A range check and identification of outliers.The purpose was to remove the outliers influenced by emissivity of surface and cloud.The preliminary analysis result showed that the deviation got close to unbiased normal distribution;the standard deviation of observation incremental significantly reduced after the quality control procedure.The quality of FY-3 satellite microwave emissivity temperature detector data improved obviously,which laid a solid foundation for the application of MWTS bright temperature data in the numerical prediction data assimilation system.