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Automated Detection of Polarimetric Tornadic Debris Signatures Using a Hydrometeor Classification Algorithm

机译:使用水凝流星分类算法自动检测极化旋流碎片特征。

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Although radial velocity data from Doppler radars can partially resolve some tornadoes, particularly large tornadoes near the radar, most tornadoes are not explicitly resolved by radar owing to inadequate spatiotemporal resolution. In addition, it can be difficult to determine which mesocyclones typically observed on radar are associated with tornadoes. Since debris lofted by tornadoes has scattering characteristics that are distinct from those of hydrometeors, the additional information provided by polarimetric weather radars can aid in identifying debris from tornadoes; the polarimetric tornadic debris signature (TDS) provides what is nearly ground truth that a tornado is ongoing (or has recently occurred). This paper outlines a modification to the hydrometeor classification algorithm used with the operational Weather Surveillance Radar-1988 Doppler (WSR-88D) network in the United States to include a TDS category. Examples of automated TDS classification are provided for several recent cases that were observed in the United States.
机译:尽管来自多普勒雷达的径向速度数据可以部分解析某些龙卷风,尤其是雷达附近的大型龙卷风,但由于时空分辨率不足,大多数龙卷风无法由雷达明确解析。另外,很难确定通常在雷达上观测到的哪些中气旋与龙卷风有关。由于龙卷风散布的碎片具有与水凝物不同的散射特性,因此,偏振气象雷达提供的附加信息可以帮助识别龙卷风的碎片。极化龙卷风碎片特征(TDS)提供了龙卷风正在发生(或最近发生)的近乎真实的事实。本文概述了对在美国运行的气象监视雷达1988多普勒(WSR-88D)网络中使用的水凝物分类算法的修改,其中包括TDS类别。针对在美国观察到的几种最新情况,提供了自动TDS分类的示例。

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