Comprehensive Quality Control Method and Effect Analysis of Brightness Temperature Data of Ground-based Microwave Radiometer

Based on the network observation data of seven stations in Beijing from 2018 to 2019, this paper proposes a set of comprehensive quality control and quality assessment method for the brightness temperature data of microwave radiometer. Different from other methods, this paper designs a quality control method for the influence of water film attached to the radome on the observation. In addition, in order to obtain more accurate simulation results, the Cloud Radar's liquid water profile information is introduced when using the MonoRTM radiation transfer model to simulate the brightness temperature. The results of quality assessment show that the overall passing rate of bright temperature data of seven stations is above 67%, and the data availability rate is more than 70%. The availability of bright temperature of water vapor channel and oxygen channel increased by 3.74% and 1.38% respectively. The overall root mean square error of the seven sites before and after the deviation correction is 4.06K and 1.91K respectively.