Bragg Scatter Detection by the WSR-88D. Part I: Algorithm Development
Bragg Scatter Detection by the WSR-88D. Part I: Algorithm Development
复制标题
WSR-88D 进行布拉格散射检测。
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Joshua G. Gebauer
中科院分区：
文献类型：
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作者：
L. Richardson;J. Cunningham;W. D. Zittel;Robert R. Lee;R. Ice;V. Melnikov;Nicole P. Hoban;Joshua G. Gebauer
摘要研究表明，从晴空布拉格散射（CABS）回波返回可以用来检测对流边界层的高度，并评估雷达站点的系统微分反射率（ZDR）偏差。然而，这些研究并没有使用来自业务天气监视雷达-1988多普勒（WSR-88 D）的数据或来自各种站点的数据。本文提出了一种新的算法，可以自动检测来自任何具有双极化能力的WSR-88 D的CABS，同时排除来自降水、生物群和地面杂波的污染。通过对探空参数的相对湿度斜率、水汽活动梯度和梯度理查森数的目视验证和试验，对算法进行了评价。结果表明，自动检测CABS业务WSR-88 D数据提供了有用的ZDR偏差信息，同时省略了大多数污染的情况下。这种算法具有雷达校准工作和布拉格散射研究的潜力。
AbstractStudies have shown that echo returns from clear-air Bragg scatter (CABS) can be used to detect the height of the convective boundary layer and to assess the systematic differential reflectivity (ZDR) bias for a radar site. However, these studies did not use data from operational Weather Surveillance Radar-1988 Doppler (WSR-88D) or data from a large variety of sites. A new algorithm to automatically detect CABS from any operational WSR-88D with dual-polarization capability while excluding contamination from precipitation, biota, and ground clutter is presented here. Visual confirmation and tests related to the sounding parameters’ relative humidity slope, refractivity gradient, and gradient Richardson number are used to assess the algorithm. Results show that automated detection of CABS in operational WSR-88D data gives useful ZDR bias information while omitting the majority of contaminated cases. Such an algorithm holds potential for radar calibration efforts and Bragg scatter studies in general.