Automated Detection of the Bright Band Using WSR-88D Data
Automated Detection of the Bright Band Using WSR-88D Data
复制标题
使用 WSR-88D 数据自动检测亮带
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
Chris Calvert
中科院分区：
文献类型：
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作者：
J. Gourley;Chris Calvert
摘要在层状降水过程中，融化层内的水凝物增加了雷达的后向散射。这一层可以在几乎恒定的高度持续数小时，并可能导致严重的雷达高估累积的表面降雨量。目前和不久的将来，复杂的降水算法开始识别反射率受污染的区域，以便对数据进行校正。一种自动算法，用于全分辨率天气监视雷达-1988多普勒（WSR-88 D）反射率数据（即，存档级别II）来识别每个体积扫描的亮带的高度和深度。算法的结果与附近无线电探空仪观测的0°C高度和美国三个不同地区的模型分析进行了比较。此外，反射率观测从一个独立的，垂直指向雷达位于复杂的地形进行了比较，从亮波段算法的结果。
Abstract During stratiform precipitation, hydrometeors within the melting layer increase backscatter to radar. This layer can persist at a nearly constant height for hours and can lead to serious radar-based overestimates in accumulated surface rainfall. Sophisticated precipitation algorithms of the present and near future are beginning to identify regions where there is contaminated reflectivity in order to make corrections to the data. An automated algorithm that operates on full-resolution Weather Surveillance Radar-1988 Doppler (WSR-88D) reflectivity data (i.e., archive level II) to identify the height and depth of the bright band for every volume scan has been developed. Results from the algorithm are compared with 0°C heights from nearby radiosonde observations and from model analyses for three different regions in the United States. In addition, reflectivity observations from an independent, vertically pointing radar situated in complex terrain are compared with results from the brightband algorith...