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Rain Retrieval Performance of a Dual-Frequency Precipitation Radar Technique With Differential-Attenuation Constraint

机译:差分衰减约束的双频降水雷达技术的降雨反演性能

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Assessments on the performance of dual-frequency (13.6/35.5 GHz) Precipitation Radar (DPR) rain retrieval techniques are performed by means other than relying on the surface reference technique. A DPR inversion technique (DPR-IT) with an independent estimate of the differential attenuation, i.e., the difference of attenuation differences between two frequencies over a certain range, is introduced as an alternative to surface reference or iterative methods for resolving the path-integrated attenuation (PIA) information. Retrieval performance of the proposed method is tested to some vertical rain profiles synthesized with arbitrarily defined and disdrometer-measured raindrop-size distribution data. Retrievals of two other DPR-IT-type methods, namely the DPR-IT with sets of preselected surface PIAs at two frequencies from wide ranges and the DPR-IT iterative algorithm, are also considered for the analysis. The comparison of the simulated results obtained from these three methods is presented and discussed.
机译:对双频(13.6 / 35.5 GHz)降水雷达(DPR)雨水回收技术的性能评估是通过依靠地面参考技术以外的其他方式进行的。引入了一种DPR反演技术(DPR-IT),该技术具有对差分衰减的独立估计,即在一定范围内两个频率之间的衰减差异之差,可以替代表面参考或迭代方法来解决路径积分问题衰减(PIA)信息。该方法的检索性能在使用任意定义和由测风仪测量的雨滴大小分布数据合成的一些垂直降雨剖面上进行了测试。分析还考虑了其​​他两种DPR-IT类型方法的检索,即具有在两个频率范围内的宽范围内预先选择的表面PIA组的DPR-IT和DPR-IT迭代算法。提出并讨论了从这三种方法获得的模拟结果的比较。

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