Articles | Volume 21, issue 6
https://doi.org/10.5194/nhess-21-1921-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-1921-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global ground strike point characteristics in negative downward lightning flashes – Part 2: Algorithm validation
Dieter R. Poelman
CORRESPONDING AUTHOR
Royal Meteorological Institute of Belgium, Brussels, Belgium
Austrian Lightning Detection and Information System (ALDIS), Vienna, Austria
Stephane Pedeboy
Météorage, Pau, France
Leandro Z. S. Campos
Campos Scientific Computing, São José dos Campos, Brazil
Michihiro Matsui
Franklin Japan Corporation, Sagamihara 212-0212, Japan
Dustin Hill
Scientific Lightning Solutions LLC (SLS), Titusville, Florida, USA
Marcelo Saba
National Institute for Space Research, INPE, São José dos Campos, Brazil
Hugh Hunt
The Johannesburg Lightning Research Laboratory, School of Electrical and Information Engineering, University of Witwatersrand, Johannesburg, Johannesburg, South Africa
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Cited
11 citations as recorded by crossref.
- Analyses of negative cloud-to-ground flashes and their ground strike points in Austria L. Schwalt & W. Schulz 10.1016/j.epsr.2023.109140
- A Strong Pulsing Nature of Negative Intracloud Dart Leaders Accompanied by Regular Trains of Microsecond‐Scale Pulses I. Kolmašová et al. 10.1029/2023GL103864
- Statistical analysis of negative cloud-to-ground lightning characteristics in Bogota, Colombia based on electric field measurements H. Rojas et al. 10.1016/j.jastp.2021.105798
- Can Bayesian Networks Improve Ground-Strike Point Classification? W. Lesejane et al. 10.3390/atmos15070776
- An 11-year study on the characteristic parameters of negative cloud-to-ground multiple ground strike point lightning flashes in Guangdong Province of China Y. Jiang et al. 10.1016/j.epsr.2025.111477
- A study of lightning disaster assessment and zoning on the Qinghai Plateau Z. Cai et al. 10.1080/27669645.2024.2447657
- Global ground strike point characteristics in negative downward lightning flashes – Part 1: Observations D. Poelman et al. 10.5194/nhess-21-1909-2021
- Insights into ground strike point properties in Europe through the EUCLID lightning location system D. Poelman et al. 10.5194/nhess-24-2511-2024
- Implementation of Ground-Based Lightning Locating System Using Particle Swarm Optimization Algorithm for Lightning Mapping and Monitoring K. Mehranzamir et al. 10.3390/rs15092306
- Underestimating lightning risk due to multiple Ground Strike Point flashes S. Gcaba & H. Hunt 10.1016/j.epsr.2024.110498
- Multiple Strokes Along the Same Channel to Ground in Positive Lightning Produced by a Supercell Y. Zhu et al. 10.1029/2021GL096714
11 citations as recorded by crossref.
- Analyses of negative cloud-to-ground flashes and their ground strike points in Austria L. Schwalt & W. Schulz 10.1016/j.epsr.2023.109140
- A Strong Pulsing Nature of Negative Intracloud Dart Leaders Accompanied by Regular Trains of Microsecond‐Scale Pulses I. Kolmašová et al. 10.1029/2023GL103864
- Statistical analysis of negative cloud-to-ground lightning characteristics in Bogota, Colombia based on electric field measurements H. Rojas et al. 10.1016/j.jastp.2021.105798
- Can Bayesian Networks Improve Ground-Strike Point Classification? W. Lesejane et al. 10.3390/atmos15070776
- An 11-year study on the characteristic parameters of negative cloud-to-ground multiple ground strike point lightning flashes in Guangdong Province of China Y. Jiang et al. 10.1016/j.epsr.2025.111477
- A study of lightning disaster assessment and zoning on the Qinghai Plateau Z. Cai et al. 10.1080/27669645.2024.2447657
- Global ground strike point characteristics in negative downward lightning flashes – Part 1: Observations D. Poelman et al. 10.5194/nhess-21-1909-2021
- Insights into ground strike point properties in Europe through the EUCLID lightning location system D. Poelman et al. 10.5194/nhess-24-2511-2024
- Implementation of Ground-Based Lightning Locating System Using Particle Swarm Optimization Algorithm for Lightning Mapping and Monitoring K. Mehranzamir et al. 10.3390/rs15092306
- Underestimating lightning risk due to multiple Ground Strike Point flashes S. Gcaba & H. Hunt 10.1016/j.epsr.2024.110498
- Multiple Strokes Along the Same Channel to Ground in Positive Lightning Produced by a Supercell Y. Zhu et al. 10.1029/2021GL096714
Latest update: 08 Mar 2025
Short summary
The lightning flash density is a key input parameter for assessing the risk of occurrence of a lightning strike. Flashes tend to have more than one ground termination point on average; therefore the use of ground strike point densities is more appropriate. The aim of this study is to assess the ability of three distinct ground strike point algorithms to correctly determine the observed ground-truth strike points.
The lightning flash density is a key input parameter for assessing the risk of occurrence of a...
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