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Characterization of Lightning Electric Field Waveforms Using a Large Database: 1. Methodology
IEEE Transactions on Electromagnetic Compatibility ( IF 2.1 ) Pub Date : 2021-03-22 , DOI: 10.1109/temc.2021.3059266
Adonis Leal , Vladimir Rakov

A new approach to the characterization of CG lightning electric field waveforms using a large database is presented. The waveforms, recorded in a wide (160 Hz–500 kHz) frequency range, are categorized into groups, depending on stroke order (first or subsequent), time of day (to distinguish between the daytime and nighttime ionosphere heights), and distance range. For each group, a representative waveform (including the ground wave and one-hop skywave) was found by averaging a large number of individual amplitude-normalized waveforms on a -100 to 500 μs time scale ( t = 0 corresponds to the peak of the return-stroke ground wave). In this article, the methodology of waveform classification and averaging is presented and discussed. In the companion paper, the developed methodology is applied to analyzing variation of lightning electric field waveforms of different type with distance in the 10 to 500 km range.

中文翻译:

使用大型数据库表征闪电电场波形:1. 方法论

提出了一种使用大型数据库表征 CG 闪电电场波形的新方法。在宽 (160 Hz–500 kHz) 频率范围内记录的波形根据笔划顺序(第一个或后续)、一天中的时间(以区分白天和夜间电离层高度)和距离范围进行分类. 对于每组,通过在 -100 到 500 μs 时间尺度上对大量单独的幅度归一化波形进行平均,找到了一个有代表性的波形(包括地波和单跳天波)。 t = 0 对应于回击地波的峰值)。在本文中,介绍和讨论了波形分类和平均的方法。在配套论文中,所开发的方法用于分析不同类型的闪电电场波形随距离在 10 至 500 公里范围内的变化。
更新日期:2021-03-22
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