摘要
与新一代天气雷达相比,双偏振雷达能发射水平和垂直极化偏振波,具有更多的测量信息,利于区分降水和非降水回波,在雷达定量估测降水中发挥着重要作用。本文根据双偏振雷达的测量变量(水平反射率、差分反射率和相关系数)及降水与非降水回波的结构特征,发展了一套S波段双偏振雷达数据质量控制算法,重点研究晴空回波和生物回波的识别。利用上海南汇WSR-88D偏振雷达的观测数据做测试和评估,评估结果表明该算法对南汇偏振雷达非降水回波识别准确率达93%以上,且对降水回波的误判率仅为3.82%。
In contrast to the new generation weather radar,dual-polarization weather radar can transmit both of horizontal and vertical electromagnetic waves,and collect more information to differentiate between precipitation and non-precipitation radar echoes.Identifying and removing non-precipitation echoes in radar reflectivity fields are one critical step in radar-based quantitative precipitation estimation.In this paper,according to the observed variables and characteristics of non-precipitation,an algorithm of quality control for S-band polarization weather radar data is developed,tested and evaluated by employing the WSR-88 D polarization weather radar in Shanghai.The results demonstrate that the algorithm could identify more than 93% non-precipitation,and the precipitation echo error is only 3.82%.
引文
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