Consistency correction of echo intensity data for multiple radar systems and its application in quantitative estimation of typhoon precipitation

作     者：Shuai ZHANG Jing HAN Bingke ZHAO Zhigang CHU Jie TANG Limin LIN Xiaoqin LU Jiaming YAN Shuai ZHANG;Jing BAN;Bingke ZHAO;Zhigang CHU;Jie TANG;Limin LIN;Xiaoqin LU;Jiaming YAN

作者机构：Shanghai Typhoon InstituteChina Meteorological AdministrationShanghai 200030Chin Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersKey Laboratory for Aerosol-Cloud-Precipitation(China Meteorological Administration)Nanjing University of Information Science&TechnologyNanjing 210044China Hainan Institute of Meteorological SciencesHaikou 570203China Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan ProvinceHaikou 570203China Fujian Key Laboratory of Severe WeatherFuzhou 350001China Fujian Key Laboratory of Granular Computing and ApplicationMinnan Normal UniversityZhangzhou 363000China 

出 版 物：《Frontiers of Earth Science》 (地球科学前沿（英文版）)

年 卷 期：2022年第16卷第1期

页      面：99-108页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 08[工学] 070601[理学-气象学] 0810[工学-信息与通信工程] 0708[理学-地球物理学] 081105[工学-导航、制导与控制] 0706[理学-大气科学] 081001[工学-通信与信息系统] 0704[理学-天文学] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

基　　金：supported by the Key Projects of the National Key R&D Program(No.2018YFC1506303) the Key Program for International S&T Cooperation Projects of China(No.2017YFE0107700) the National Natural Science Foundation of China(Grant Nos.41775064 and 41806046) Shanghai Natural Science Foundation(No.21ZR1477300) Fujian Key Laboratory of Severe Weather Open Foundation(No.2020TFS02) 

主　　题：calibration error ground-based radar reflectivity correction precipitation estimates 

摘      要：Calibration error is one of the primary sources of bias in echo intensity measurements by ground-based radar *** errors cause data discontinuity between adjacent radars and reduce the effectiveness of the radar *** Global Precipitation Measurement Kuband Precipitation Radar(GPM KuPR)has been shown to provide stable long-term *** this study,GPM KuPR observations were converted to S-band approximations,which were then matched spatially and temporally with ground-based radar *** measurements of stratiform precipitation below the melting layer collected by the KuPR during Typhoon Ampil were compared with those of multiple radar systems in the Yangtze River Delta to determine the deviations in the echo intensity between the KuPR and the ground-based radar *** echo intensity data collected by the ground-based radar systems was corrected using the KuPR observations as reference,and the correction results were verified by comparing them with rain gauge *** was found that after the correction,the consistency of the echo intensity measurements of the multiple radar systems improved significantly,and the precipitation estimates based on the revised ground-based radar observations were closer to the rain gauge measurements.