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首页> 外文期刊>Geomatics,Natural Hazards & Risk >Benchmarking attenuation correction procedures for six years of single-polarized C-band weather radar observations in South-West Germany
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Benchmarking attenuation correction procedures for six years of single-polarized C-band weather radar observations in South-West Germany

机译:德国西南部单极性C波段天气雷达观测六年的基准测试衰减校正程序

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ABSTRACT Rainfall-induced attenuation is a major source of underestimation for radar-based precipitation estimation at C-band. Unconstrained gate-by-gate correction procedures are known to be inherently unstable and thus not suited for unsupervised attenuation correction. In this study, we evaluate three different procedures to constrain gate-by-gate attenuation correction using reflectivity as the only input. These procedures are benchmarked against rainfall estimates from uncorrected radar data, using six years of radar observations from the single-polarized C-band radar in South-West Germany. The precipitation estimation error is obtained by comparing the radar-based estimates to rain gauge observations. All attenuation correction procedures benchmarked in this study lead to an effective improvement of precipitation estimation. The first method caps the corrections if the rain intensity increase exceeds a factor of two. The second method decreases the parameters of the attenuation correction iteratively for every radar beam calculation until attaining a stability criterion. The second method outperforms the first method and leads to a consistent distribution of path-integrated attenuation along the radar beam. As a third method, we propose a slight modification of Kraemer's approach which allows users to exert better control over attenuation correction by introducing an additional constraint that prevents unplausible corrections in cases of dramatic signal losses.
机译:摘要降雨诱导的衰减是C波段基于雷达的降水估计的低估的主要来源。已知不受约束的栅极校正过程本身不稳定,因此不适合于无监督的衰减校正。在这项研究中,我们评估三种不同的程序来使用作为唯一输入的反射率来限制栅极衰减校正。这些程序与来自未经校正雷达数据的降雨估计有基准,使用来自德国西南部的单极化C波段雷达的六年雷达观测。通过将基于雷达的估计与雨量计观察进行比较来获得降水估计误差。本研究中基准测试的所有衰减校正程序都导致降水估算的有效提高。如果雨强度增加超过两倍,则第一种方法缩写。第二种方法可迭代地降低衰减校正的参数,以实现每个雷达光束计算,直到实现稳定标准。第二种方法优于第一方法,并导致沿雷达光束的路径集成衰减的一致分布。作为第三种方法,我们提出了对Kraemer的方法略微修改,这允许用户通过引入额外的约束来施加更好地控制衰减校正,这是防止在戏剧性信号损失的情况下的不可篡改校正。

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