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Estimation of Rainfall Based on the Results of Polarimetric Echo Classificatio

机译:基于极化回波分类结果的降雨估算

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The quality of polarimetric radar rainfall estimation is investigated for a broad range of distances from the polarimetric prototype of the Weather Surveillance Radar-1988 Doppler (WSR-88D). The results of polarimetric echo classification have been integrated into the study to investigate the performance of radar rainfall estimation contingent on hydrometeor type. A new method for rainfall estimation that capitalizes on the results of polarimetric echo classification (EC method) is suggested. According to the EC method, polarimetric rainfall relations are utilized if the radar resolution volume is filled with rain (or rain and hail), and multiple R(Z) relations are used for different types of frozen hydrometeors. The intercept parameters in the R(Z) relations for each class are determined empirically from comparisons with gauges. It is shown that the EC method exhibits better performance than the conventional WSR-88D algorithm with a reduction by a factor of 1.5-2 in the rms error of 1-h rainfall estimates up to distances of 150 km from the radar.
机译:从气象监视雷达1988年多普勒(WSR-88D)的偏振原型获得了很宽的距离,研究了偏振雷达降雨估计的质量。极化回波分类的结果已被纳入研究,以研究取决于水流​​星类型的雷达降雨估计的性能。提出了一种利用极化回波分类结果的降雨估计新方法(EC方法)。根据EC方法,如果雷达分辨率空间充满雨水(或雨水和冰雹),则利用极化降雨关系,并且对不同类型的冻结水凝物使用多个R(Z)关系。通过与量规的比较,经验确定每个类的R(Z)关系中的截距参数。结果表明,EC方法表现出比常规WSR-88D算法更好的性能,在距雷达150公里处的1-h降雨估算的均方根误差均降低了1.5-2倍。

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