摘要
在现有多普勒天气雷达资料质量控制基础上,采用徐州雷达站2009年4月和9月雷达资料,统计并对比几种常见的降水回波与非降水回波特性,找出一种有效地识别晴空回波的方法。该方法在不同径向距离区间(小于25km及25～200km)采用不同的识别参数,能够较好地将非降水回波中对临近预报有用的晴空回波信息保留,而将其他非降水回波信息(地物回波、超折射回波等)剔除。依据该方法识别的晴空回波区域所对应Doppler速度可用于判别大气平流状况,从而为预报工作提供帮助。
Based on the data quality control of Chinese new generation Doppler weather radar,an efficient method is proposed to recognize the clear air echoes according to the statistical results of radar data from April to September 2009 in Xuzhou,Jiangsu Province.Different recognition parameters for different radial distance（less than 25 km and between 25 and 200 km） are used to retain the clear air echoes,which can be used as nowcast reference,and remove other non-precipitation echoes such as super-refractive ground clutters.The velocity data of the recognized non-precipitate echo area can be employed to estimate atmospheric advection and prediction.
出处
《气象科技》
2012年第4期534-541,共8页
Meteorological Science and Technology
基金
晴空回波识别技术研究(2010-2011)项目
中国气象局武汉暴雨研究所基本科研业务费项目(1205)共同资助
关键词
多普勒天气雷达
非降水回波
晴空回波
识别
Doppler weather radar
non-precipitation echo
clear air echo
recognition
