High Power Laser and Particle Beams, Volume. 34, Issue 11, 113002(2022)

Analysis on variation of return stroke velocity with frequency at the channel bottom of cloud to ground lightning

Yichong Li, Xiaojun Luo, Qi Zhang, Shi Qiu, and Lihua Shi*
Author Affiliations
  • National Key Laboratory on Electromagnetic Environmental Effects and Electro-optical Engineering, Army Engineering University of PLA, Nanjing 210007, China
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    Observation of the return stroke channel is a key approach in understanding return stroke's developing process and mechanism, and therefore to improve the engineering model. A lightning progression feature photic observation system (LiPOS) is used to observe the bottom luminosity from 21 m to 309 m in the artificially triggered lightning. The output-error (OE) model in system identification is applied to establish the upward propagation transfer function between different luminosity pulses. The curves of phase velocity and group velocity between 1 kHz to 1 MHz are obtained. Time-domain analysis shows that the risetime of the leading edge changes from 1.1 μs at the bottom to 1.84 μs at 309 m height, and the dispersion in velocity is the key factor to induce this effect. The frequency-domain analysis shows that the OE model can suppress the measurement noise and give a clear frequency distribution curve. Below 100 kHz, the group velocity curve has a range with strong non-monotonic variation, and the curve becomes flat and reaches 58% of light velocity above 500 kHz. The analyzed results are finally compared to the research work in the reference literature and some discussions are presented. The results may find further applications in evaluating dispersions in return strokes quantitively.

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    Yichong Li, Xiaojun Luo, Qi Zhang, Shi Qiu, Lihua Shi. Analysis on variation of return stroke velocity with frequency at the channel bottom of cloud to ground lightning[J]. High Power Laser and Particle Beams, 2022, 34(11): 113002

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    Paper Information

    Category: High Power Microwave Technology

    Received: Jun. 3, 2022

    Accepted: --

    Published Online: Oct. 18, 2022

    The Author Email: Shi Lihua (shilih@tom.com)

    DOI:10.11884/HPLPB202234.220185

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