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Rainfall Estimation Improvements using Polarization Data from Monte Lema C-Band Weather Radar in the Southern European Alps

机译:利用Monte Lema C-BAND南部南部阿尔卑斯山脉雷达的偏振数据降雨估计改进

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Simple improvements in C-band weather radar data processing are performed based on radar polarimetry. The starting point is the estimation of the differential propagation phase Φ_(DP) from the measured total differential phase Ψ_(DP). The main topics are (ground) clutter removal and quantitative precipitation estimation (QPE). For the former, a new test which checks some polarimetric quantities is added (as a trial) in a pre-existing clutter/non-clutter bin classification system. For the latter, three 'state-of-the-art' Φ_(DP)-based precipitation attenuation correction procedures are considered to correct Z_H for precipitation attenuation. In addition, since the specific differential phase K_(DP) proves to be a better rainfall rate estimator in heavy rain, some hybrid formulas R(Z_H, K_(DP)) are developed so that they result practically unbiased.
机译:基于雷达偏振仪执行C波段天气雷达数据处理的简单改进。起始点是估计来自测量的总差分阶段ψ_(DP)的差分传播阶段φ_(dp)。主要话题是(接地)杂波去除和定量降水估计(QPE)。对于前者,在预先存在的杂波/非杂波BIN分类系统中添加了一种检查一些极化量的新测试(作为试验)。对于后者,将三个“最先进的”φ_(DP)的降水衰减校正程序被认为是校正Z_H以进行降水衰减。另外,由于特定的差相K_(DP)被证明是大雨中的更好的降雨率估算器,因此开发了一些混合式R(Z_H,K_(DP)),从而使它们实际上不偏见。

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