Lightning Strike Probability Calculation Based on a Numerical Laplace Solver

Abstract An electrostatic Laplace solver implemented with free‐space boundary conditions is used to calculate electric field enhancements on the surfaces of metallic conductors. Predictions of field enhancements for individual, stand‐alone buildings are compared to experimental observations relating lightning strike probability to building height. The accuracy of the numerical predictions at reproducing the observations is convincing. The numerical method is then applied to calculating lightning strike probabilities for buildings which are close together, which have superstructures on top, and which exist within an example city‐scape. The predictions are interesting and exemplify the effects of mutual capacitance between structures, one of which is well known as “shadowing.” This study encourages additional experimental work quantifying lightning strike probabilities in more densely populated spaces, such as cities. In particular, the new model makes quantitative predictions about the lightning strike probability for closely spaced buildings of different heights, for buildings with peaked spires, and for buildings with other types of superstructures.

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Publication Details

Journal
Earth and Space Science
Published
2025-08-31
DOI
https://doi.org/10.1029/2024ea004139
Primary Topic
Lightning and Electromagnetic Phenomena
Type
article
Field-Weighted Citation Impact
0.00

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article

Lightning Strike Probability Calculation Based on a Numerical Laplace Solver

R. C. Moore, W. C. Snider
Earth and Space Science
Lightning and Electromagnetic Phenomena
article

Lightning Strike Probability Calculation Based on a Numerical Laplace Solver

R. C. Moore, W. C. Snider
article en

Abstract

Abstract An electrostatic Laplace solver implemented with free‐space boundary conditions is used to calculate electric field enhancements on the surfaces of metallic conductors. Predictions of field enhancements for individual, stand‐alone buildings are compared to experimental observations relating lightning strike probability to building height. The accuracy of the numerical predictions at reproducing the observations is convincing. The numerical method is then applied to calculating lightning strike probabilities for buildings which are close together, which have superstructures on top, and which exist within an example city‐scape. The predictions are interesting and exemplify the effects of mutual capacitance between structures, one of which is well known as “shadowing.” This study encourages additional experimental work quantifying lightning strike probabilities in more densely populated spaces, such as cities. In particular, the new model makes quantitative predictions about the lightning strike probability for closely spaced buildings of different heights, for buildings with peaked spires, and for buildings with other types of superstructures.

Earth and Space ScienceVol. 12(9)
University of Florida (US), Auburn University (US)
Defense Advanced Research Projects Agency, Office of Naval Research, Defense Sciences Office, DARPA, Air Force Research Laboratory
Openalex Percentile: Top 84%
Lightning and Electromagnetic Phenomena
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