作者:陈超,刘黎平,胡胜,伍志方,吴翀,张扬
摘要:In this paper,a quantitative precipitation estimation based on the hydrometeor classification(HCA-QPE)algorithm was proposed for the first operational S band dual-polarization radar upgraded from the CINRAD/SA radar of China.The HCA-QPE algorithm,localized Colorado State University-Hydrometeor Identification of Rainfall(CSUHIDRO)algorithm,the Joint Polarization Experiment(JPOLE)algorithm,and the dynamic Z-R relationships based on variational correction QPE(DRVC-QPE)algorithm were evaluated with the rainfall events from March 1 to October 30,2017 in Guangdong Province.The results indicated that even though the HCA-QPE algorithm did not use the observed rainfall data for correction,its estimation accuracy was better than that of the DRVC-QPE algorithm when the rainfall rate was greater than 5 mm h-1;and the stronger the rainfall intensity,the greater the QPE improvement.Besides,the HCA-QPE algorithm worked better than the localized CSU-HIDRO and JPOLE algorithms.This study preliminarily evaluated the improved accuracy of QPE by a dual-polarization radar system modified from CINRAD-SA radar.
发文机构:Guangdong Meteorological Observatory State Key Laboratory of Severe Weather
关键词:quantitativeprecipitationestimationoperationalQPEevaluationwithdual-polarizationradaroptimizationalgorithmdual-polarizationradarhydrometeorclassificationdynamicZ-Rrelationsalgorithm
分类号: P412.25[天文地球—大气科学及气象学]