Bragg Scatter Detection by the WSR-88D. Part II: Assessment of ZDR Bias Estimation
Bragg Scatter Detection by the WSR-88D. Part II: Assessment of ZDR Bias Estimation
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：
J. Cunningham
中科院分区：
文献类型：
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作者：
L. Richardson;W. D. Zittel;Robert R. Lee;V. Melnikov;R. Ice;J. Cunningham
Clear-air Bragg散射(CABS)是作战天气监视雷达-1988多普勒(WSR-88D)系统可以探测到的由湍流涡旋产生的折射梯度回波。涡旋的随机定向特性导致差分反射率(ZDR)值接近0分贝，因此，在没有降水或生物群过度污染的情况下，CABS可用作ZDR校准的评估。雷达操作中心开发了一种自动算法来估计来自驾驶室的ZDR偏差，该算法可用于评估双极化WSR-88D机队的校准质量。这项技术补充了现有的ZDR偏差评估工具，特别是使用了其他外部目标，如小雨和干雪。使用1700-1900 UTC时间窗口对驾驶室ZDR偏差的估计与小雨和干雪方法的估计进行了比较。自动CABS算法的输出与小雨和干燥雪测试报告的偏差量大致相同。
AbstractClear-air Bragg scatter (CABS) is a refractivity gradient return generated by turbulent eddies that operational Weather Surveillance Radar-1988 Doppler (WSR-88D) systems can detect. The randomly oriented nature of the eddies results in a differential reflectivity (ZDR) value near 0 dB, and thus CABS can be used as an assessment of ZDR calibration in the absence of excessive contamination from precipitation or biota. An automated algorithm to estimate ZDR bias from CABS was developed by the Radar Operations Center and can be used to assess the calibration quality of the dual-polarized WSR-88D fleet. This technique supplements existing ZDR bias assessment tools, especially the use of other external targets, such as light rain and dry snow.The estimates of ZDR bias from CABS using a 1700–1900 UTC time window were compared to estimates from the light rain and dry snow methods. Output from the automated CABS algorithm had approximately the same amount of bias reported as the light rain and dry snow est...