Articles | Volume 21, issue 6
https://doi.org/10.5194/nhess-21-1909-2021
© 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-21-1909-2021
© 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 1: Observations
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
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
Lukas Schwalt
Institute of High Voltage Engineering and System Performance, Graz University of Technology, Graz, Austria
Christian Vergeiner
Institute of High Voltage Engineering and System Performance, Graz University of Technology, Graz, Austria
Carlos T. Mata
Scientific Lightning Solutions LLC (SLS), Titusville, Florida, USA
Carina Schumann
The Johannesburg Lightning Research Laboratory, School of Electrical and Information Engineering, University of Witwatersrand, Johannesburg, Johannesburg, South Africa
Tom Warner
ZT Research, Rapid City, South Dakota, USA
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Cited
9 citations as recorded by crossref.
- Global ground strike point characteristics in negative downward lightning flashes – Part 2: Algorithm validation D. Poelman et al. 10.5194/nhess-21-1921-2021
- 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
- Lightning at Jupiter pulsates with a similar rhythm as in-cloud lightning at Earth I. Kolmašová et al. 10.1038/s41467-023-38351-6
- The Johannesburg Lightning Research Laboratory, Part 3: Evaluation of the South African Lightning Detection Network H. Fensham et al. 10.1016/j.epsr.2022.108968
- Insights into ground strike point properties in Europe through the EUCLID lightning location system D. Poelman et al. 10.5194/nhess-24-2511-2024
- Analyses of negative cloud-to-ground flashes and their ground strike points in Austria L. Schwalt & W. Schulz 10.1016/j.epsr.2023.109140
- Underestimating lightning risk due to multiple Ground Strike Point flashes S. Gcaba & H. Hunt 10.1016/j.epsr.2024.110498
- Can Bayesian Networks Improve Ground-Strike Point Classification? W. Lesejane et al. 10.3390/atmos15070776
- Implementation of Ground-Based Lightning Locating System Using Particle Swarm Optimization Algorithm for Lightning Mapping and Monitoring K. Mehranzamir et al. 10.3390/rs15092306
9 citations as recorded by crossref.
- Global ground strike point characteristics in negative downward lightning flashes – Part 2: Algorithm validation D. Poelman et al. 10.5194/nhess-21-1921-2021
- 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
- Lightning at Jupiter pulsates with a similar rhythm as in-cloud lightning at Earth I. Kolmašová et al. 10.1038/s41467-023-38351-6
- The Johannesburg Lightning Research Laboratory, Part 3: Evaluation of the South African Lightning Detection Network H. Fensham et al. 10.1016/j.epsr.2022.108968
- Insights into ground strike point properties in Europe through the EUCLID lightning location system D. Poelman et al. 10.5194/nhess-24-2511-2024
- Analyses of negative cloud-to-ground flashes and their ground strike points in Austria L. Schwalt & W. Schulz 10.1016/j.epsr.2023.109140
- Underestimating lightning risk due to multiple Ground Strike Point flashes S. Gcaba & H. Hunt 10.1016/j.epsr.2024.110498
- Can Bayesian Networks Improve Ground-Strike Point Classification? W. Lesejane et al. 10.3390/atmos15070776
- Implementation of Ground-Based Lightning Locating System Using Particle Swarm Optimization Algorithm for Lightning Mapping and Monitoring K. Mehranzamir et al. 10.3390/rs15092306
Latest update: 20 Nov 2024
Short summary
Information about lightning properties is important in order to advance the current understanding of lightning, whereby the characteristics of ground strike points are in particular helpful to improving the risk estimation for lightning protection. High-speed video recordings of 1174 negative downward lightning flashes are taken in different regions around the world and analyzed in terms of flash multiplicity, duration, interstroke intervals and ground strike point properties.
Information about lightning properties is important in order to advance the current...
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