摘要
了解降雨垂直结构上的宏微观物理特征变化,对于开展定量降雨预报、指导人工影响天气具有重要意义.为了评估垂直指向性雷达观测降雨的适用性和精度,本文利用2021年6月至9月河南省镇平县二龙乡试验基地内K波段微雨雷达(Micro Rain Radar, MRR)、 Ka云雷达和雨量计观测的20场次降雨数据,检验了MRR测雨的精度和适用性,分析了Ka雷达的观测能力.结果表明:MRR在500 m~900 m高度层的探测结果与雨量计观测值符合最好,可有效代表地面雨强,但更低层的探测结果会高估雨强;Z-R关系分析表明,MRR在较强降水条件下高空回波衰减严重,易引起雨强低估;Ka雷达探测弱降水的能力上限不超过30 dBZ.采用多频雷达联合监测是实现云降雨全过程探测的有效方法.
Finding out the macroscopic and microscopic changes in physical characteristics in the vertical structure of precipitation is of great significance for quantitative rainfall forecasting and weather modification operations. To evaluate the applicability and accuracy of vertically directed weather radars to observe cloud-rainfall processes, observation records of a K-band Micro Rain Radar(MRR), a Ka-band cloud radar and rain gauges in the Erlong Experimental Site in Zhenping County, Henan Province were collected from June to September of 2021 for 20 rainfall events in this paper. Based on those records, the accuracy and applicability of MRR rainfall measurement were tested, and the observation ability of Ka-band radar was analyzed. The results show that: the MRR results in the range of 500 m~900 m height level are suitable to represent surface rain intensity, which are in the best agreement with the rain gauge measurements.The results in lower levels overestimate rain intensity;Z-R relationship shows the MRR radar reflectivity have strong decay during high-intensity rainfall, leading to underestimation rainfall intensity in upper levels;and the maximum detect ability of Ka-band radar is no higher than 30 dBZ. The results in this paper would be useful for the monitoring of cloud-rainfall processes using multiple weather radars.
作者
王金钊
李铁键
谢鑫新
解宏伟
WANG Jinzhao;LI Tiejian;XIE Xinxin;XIE Hongwei(School of Water Resources and Electric Power,Qinghai University,Xining 810016,China;State Key Laboratory of Plateau Ecology and Agriculture,Qinghai University,Xining 810016,China;School of Atmospheric Sciences,Sun Yet-Sen University,Zhuhai 519082,China)
出处
《测试技术学报》
2022年第5期416-425,共10页
Journal of Test and Measurement Technology
基金
兵团重大科技资助项目(2017AA002)
青海省科技厅资助项目(2021-SF-A6)。
