摘要
使用安装在广州地区的地面雨滴谱仪(LPA10型)和S波段天气雷达收集到的在2017~2018年汛期发生的4次大面积强降水过程的观测数据。对雷达观测的空中反射率与雨滴谱仪获取的地面反射率之间的偏差进行分析订正,并使用与天气雷达体扫模式时间(6min)相匹配的地面雨滴谱数据进行实时ZI关系的估算,提高雷达定量降水估测的精度。结果表明,雷达的反射率因子同雨滴谱仪获取的反射率因子具有较好的一致性,但存在一定的系统性偏差,订正后的反射率因子能提高雷达定量降水估测的精度;在降水开始和结束阶段,ZI关系表现出较大的波动,而在持续的降水过程中ZI关系的参数波动较小。说明,雨滴谱的变化对于ZI关系参数的影响较为明显,即使是同一场降水过程,参数也有较大的波动。采用和雷达体扫时间相匹配的雨滴谱数据估算ZI关系能较好地削弱滴谱变化对雷达降水估测的影响,且具有较好的实时性,有利于业务应用;通过反射率因子系统偏差订正以及实时ZI关系估计后,在4次强降水观测过程中,使用雨滴谱仪联合雷达降水估测法较传统ZI关系法的降水估测精度提高了约25%。
The observation data of 4 times of heavy precipitation during the flood season from 2017 to 2018 were collected by the disdrometer(LPA10)and s-band weather radar in Guangzhou.The deviation between the air reflectivity observed by radar and the ground reflectivity obtained by disdrometer was analyzed and revised,and the real-time ZI relationship was estimated by using the raindrop spectrum data that matched the volume coverage patterns time(VCPs)of weather radar,so as to improve the accuracy of quantitative precipitation estimation(QPE)by radar.The main results are as follows:The reflectivity factor of radar is in good agreement with the reflectivity factor obtained by disdrometer,but there are some systematic biases,after correction of reflectivity factor can improve the precision of radar QPE.In the beginning and end of precipitation,ZI relationship shows a large fluctuation,while in the continuous precipitation process,the parameter fluctuation of ZI relationship is small.Shows that the change of the raindrop spectrum for ZI relationship parameter is relatively obvious,the influence of precipitation process,even in the same field parameters also have larger fluctuation.The estimation of ZI relationship based on raindrop spectrum data matching with VCPs time of radar that can reduce the influence of drop spectrum changes on radar precipitation estimation,and has a good real-time performance,which is conducive to business application.After correcting the system deviation of the reflectivity factor and estimating the real-time ZI relation,in the process of four heavy precipitation observations,the accuracy of precipitation estimation using disdrometer combined with radar is improved by about 25%compared with the traditional ZI relation method.
作者
井高飞
罗丽
郭佳
崔学林
Jing Gaofei;Luo Li;Guo Jia;Cui Xuelin(Nansha Meteorological Observation Station,Haikou 570203,China;Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province»Haikou 570203,China;Key Laboratory of Cloud-Precipitation and Severe Storms of Chinese Academy of Sciences Institute of Atmospheric Physics Chinese Academy of Sciences,Beijing 100029,China;University of Chinese Academy of Sciences,Beijingl00049,China;Beijing Metstar Radar Co.Ltd,Beijing 100085,China;Meteorological Observation center of Hainan province,Haikou 570203,China)
出处
《国外电子测量技术》
2020年第9期11-18,共8页
Foreign Electronic Measurement Technology
基金
海南省气象局科技项目(HNQXJS201618)资助。
关键词
实时ZI关系估计
系统偏差订正
雨滴谱
雷达定量估测降水
real-time ZI relation estimation
system deviation correction
raindropspectrum
radar quantitative precipitation estimate(QPE)
