Lightning Signal Processing

Lightning Signal Processing is a methodological framework within atmospheric sensing that analyzes and interprets electromagnetic signals generated by lightning discharges to extract spatiotemporal characteristics, distinguish between cloud-to-ground and intra-cloud events, and enhance detection accuracy through noise reduction, signal classification, and waveform parameterization.

94

Publications

3.2K

Citations

339

Authors

130

Institutions

Publications per year

2017–2026

27

Authors

339

  1. VA
    Vladimir A. Rakov

    University of Florida, United States

    7 publications · 214 citations

    7

    h-index

  2. MA
    M. A. Uman

    University of Florida, United States

    6 publications · 224 citations

    6

    h-index

  3. YZ
    Yijun Zhang

    Chinese Academy of Meteorological Sciences, China

    6 publications · 186 citations

    4

    h-index

  4. DZ
    Dong Zheng

    Chinese Academy of Meteorological Sciences, China

    3 publications · 103 citations

    3

    h-index

  5. WL
    Weitao Lyu

    Chinese Academy of Meteorological Sciences, China

    3 publications · 108 citations

    3

    h-index

1–5 of 339

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 9 publications · 484 citations

    9

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 8 publications · 520 citations

    8

    h-index

  3. IEEE Transactions on Power Delivery

    6 publications · 193 citations

    6

    h-index

  4. 5

    h-index

  5. Radio Science

    5 publications · 271 citations

    5

    h-index

1–5