地面降水的多源数据辅助质量控制方法

Based on the analysis of radar and automatic weather station (AWS) data, a quality control (QC) method for multi-source data of surface rainfall is presented in this study. The QC methods include MRAWS which combines the radar and AWS data and MAWS which only uses AWS data. At the same time, the two methods are compared with the spatio-temporal QC method (MTS). The analysis results show that the performance of MRAWS and MAWS is significantly better than that of MTS, because MRAWS and MAWS are able to utilize more observational elements effectively. Although the result of MAWS is slightly worse than that of MRAWS due to the absence of radar data, MAWS is also an effective QC method for surface rainfall. But further analysis suggests that the methods of MRAWS and MAWS are likely to be applied only in judging whether rainfall occurs or not, for they are not good enough to evaluate the rainfall correctly.