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Lightning warnings with NLDN cloud and cloud-to-ground lightning data

机译:带有NLDN云和云对地闪电数据的闪电警告

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Previous studies [1,2] have evaluated the performance of the U.S. National Lightning Detection Network (NLDN) with respect to warnings of cloud-to-ground lightning (CG) at specific locations such as airports. The statistics used to evaluate warning performance have included probability of detection (POD), false alarm ratio (FAR), duration of warnings, and number of storms reported. In 2013, the NLDN was upgraded to Vaisala's LS7002 sensors replacing the older generation LS7001 and IMPACT sensors. As a result of this upgrade, the NLDN is expected to have a 50% cloud flash detection efficiency and a 95% cloud-to-ground flash detection efficiency [3]. In this study, we examine the warning performance using cloud and cloud-to-ground data from the NLDN after the 2013 upgrade. Data from several regions of the continental U.S. are considered. The warning statistics are evaluated with and without cloud lightning data. The impact of varying outer radii, inner verification areas, and end-of-storm wait times are examined. Upon conclusion of the study, it was found that addition of NLDN cloud lightning added about 10% to the POD, while the FAR was unchanged, and the percent time under valid warning and false alarms increased somewhat. As found previously, a 15-minute warning expiration time was better than 10 minutes, and POD decreased steadily for longer lead times for CG lightning. POD increased steadily for larger outer radii, but FAR also increased. Finally, a short exploration of a smaller warning area showed better warning statistics, but there was significant sensitivity to the relative size of the inner versus outer areas.
机译:先前的研究[1,2]评估了美国国家闪电检测网(NLDN)在特定位置(例如机场)的云对地闪电(CG)警告方面的性能。用于评估预警性能的统计信息包括检测概率(POD),误报率(FAR),预警持续时间和报告的风暴数量。 2013年,NLDN升级为维萨拉的LS7002传感器,取代了老一代的LS7001和IMPACT传感器。升级的结果是,NLDN有望具有50%的云闪检测效率和95%的云对地闪检测效率[3]。在本研究中,我们使用2013年升级后来自NLDN的云和云对地数据来检查预警性能。考虑了来自美国大陆几个地区的数据。在有和没有云闪电数据的情况下评估警告统计信息。研究了变化的外部半径,内部验证区域和暴风雨等待时间的影响。研究结束后,发现添加NLDN云闪电向POD添加了大约10%,而FAR保持不变,在有效警告和错误警报下的时间百分比有所增加。如之前所发现的,15分钟的警告到期时间比10分钟要好,并且对于CG闪电来说,POD稳定地降低了较长的交付时间。对于较大的外部半径,POD稳定增加,但FAR也增加。最后,对较小警告区域的短暂探索显示出更好的警告统计信息,但是对内部区域与外部区域的相对大小具有显着的敏感性。

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