基于近期CN塔雷电数据的北美雷电探测网性能特征评价

S. Kazazi, A. Hussein, P. Liatos
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引用次数: 5

摘要

利用2014年9月5日CN塔雷电数据,对北美雷电探测网(NALDN)的性能特征进行了评价。评估包括极性、行程检测效率、定位精度和峰值电流估计。根据视频记录,那天,这座塔被24道闪电击中。但是,根据目前的记录和对视频记录的光度分析,发现其中只有9次闪光含有回划。这9次闪光共包含30次回击。NALDN检测了所有这些回冲程,从而获得了完美的回冲程检测效率。所有记录的回击被证明是阴性的,符合NALDN预测。相对于塔,在检测到的30个冲程中,NALDN的绝对定位误差中值为124.7m,平均绝对定位误差为136.77m,各为2005年网络评估结果的三分之一左右。结果还表明,NALDN行程定位误差对塔北有较大的偏倚,对塔西有明显的偏倚。NALDN被发现高估了在高塔测量的电流峰值,这是由于高塔内的传播速度更高,与返回冲程的传播速度相比,在自由空间中大约以光速传播。研究表明,2005年以后的NALDN升级,极大地提高了NALDN的性能特征,特别是在脑卒中检测效率和定位精度方面。
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Evaluation of the performance characteristics of the North American Lightning Detection Network based on recent CN Tower lightning data
Using the CN Tower lightning data acquired on September 5, 2014, the performance characteristics of the North American Lightning Detection Network (NALDN) are evaluated. The evaluation includes polarity, stroke detection efficiency, location accuracy and peak current estimation. On that day, the tower was struck with 24 flashes, based on video records. However, only nine of these flashes were found to contain return strokes based on current records and luminosity analysis of video records. These nine flashes contained a total of 30 return strokes. The NALDN detected all these return strokes, resulting in a perfect return-stroke detection efficiency. All recorded return strokes were proven to be negative, complying with NALDN prediction. Relative to the tower, for the 30 detected strokes, the NALDN was found to have a median absolute location error of 124.7m and an average absolute location error of 136.77m, each is about one-third of that determined based on a 2005 network evaluation. It was also demonstrated that the NALDN stroke location error have a substantial bias towards the north of the tower and a marked bias towards the west. The NALDN is found to overestimate the current peak measured at the tower, which is due to the higher speed of propagation within the tall tower, approximately at the speed of light in free space, in comparison with the speed of propagation of return strokes. The presented work shows that the NALDN upgrades, beyond 2005, have substantially improved the NALDN performance characteristics, especially in terms of stroke-detection efficiency and location accuracy.
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