Analysis Method and Three-Dimensional Distribution Characteristics of Cloud-to-Ground Lightning Under Mesoscale Topography

Mesoscale topography (ranging from approximately 100 meters to 5 kilometers in scale) has a significant impact on the spatial distribution of lightning activity, but the quantitative analysis methods for this phenomenon are still not well-developed. This paper proposes a mesoscale analysis method for cloud-to-ground lightning by integrating Gaussian fitting with topographic variation features, and reveals the three-dimensional distribution characteristics of lightning activity under typical mesoscale topography. By analyzing nearly a decade-long lightning location data from a mountainous region, this study reveals a strong positive correlation between cloud-to-ground lightning flash density and elevation under typical mesoscale topography, and proposes a mesoscale terrain boundary delineation method based on the full-range mean approach. The results indicate that in complex mesoscale terrain, the lightning ground flash density in areas with steep slopes (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$&gt;25^{\circ}$</tex>) and high altitudes (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$&gt;700$</tex> meters) is approximately <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$15 \%-30 \%$</tex> higher that that in surrounding areas. This paper provides an important basic data analysis method for studying the distribution of lightning ground flash density and offers valuable insights for lightning protection design in industries such as power systems and electrified railways.

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Published
2025-06-17
DOI
https://doi.org/10.1109/apl65034.2025.11108722
Primary Topic
Atmospheric aerosols and clouds
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article
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article

Analysis Method and Three-Dimensional Distribution Characteristics of Cloud-to-Ground Lightning Under Mesoscale Topography

Shuyan Cai, Nengxing Guo, Jiawei Wan, Xiaobin Cao et al.
Atmospheric aerosols and clouds
article

Analysis Method and Three-Dimensional Distribution Characteristics of Cloud-to-Ground Lightning Under Mesoscale Topography

Shuyan Cai, Nengxing Guo, Jiawei Wan, Xiaobin Cao, Jie Su, Han Zhang, Jian Li, Ruifang Li, Shanqiang Gu
article en

Abstract

Mesoscale topography (ranging from approximately 100 meters to 5 kilometers in scale) has a significant impact on the spatial distribution of lightning activity, but the quantitative analysis methods for this phenomenon are still not well-developed. This paper proposes a mesoscale analysis method for cloud-to-ground lightning by integrating Gaussian fitting with topographic variation features, and reveals the three-dimensional distribution characteristics of lightning activity under typical mesoscale topography. By analyzing nearly a decade-long lightning location data from a mountainous region, this study reveals a strong positive correlation between cloud-to-ground lightning flash density and elevation under typical mesoscale topography, and proposes a mesoscale terrain boundary delineation method based on the full-range mean approach. The results indicate that in complex mesoscale terrain, the lightning ground flash density in areas with steep slopes (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$&gt;25^{\circ}$</tex>) and high altitudes (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$&gt;700$</tex> meters) is approximately <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$15 \%-30 \%$</tex> higher that that in surrounding areas. This paper provides an important basic data analysis method for studying the distribution of lightning ground flash density and offers valuable insights for lightning protection design in industries such as power systems and electrified railways.

Electric Power Research Institute (US), State Grid Corporation of China (China) (CN), Southwest Jiaotong University (CN)
Climate action
Openalex Percentile: Top 81%
Atmospheric aerosols and clouds
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