Articles | Volume 13, issue 10
https://doi.org/10.5194/acp-13-5137-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-13-5137-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
22 May 2013
Research article |
| 22 May 2013
Automated thunderstorm tracking: utilization of three-dimensional lightning and radar data
V. K. Meyer
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, 82234 Wessling, Germany
now at: Zentralanstalt für Meteorologie und Geodynamik, 1190 Vienna, Austria
H. Höller
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, 82234 Wessling, Germany
H. D. Betz
University of Munich, Department of Physics, 85748 Garching, Germany
nowcast GmBH, 81377 Munich, Germany
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Cited
21 citations as recorded by crossref.
- Visualization in Meteorology—A Survey of Techniques and Tools for Data Analysis Tasks M. Rautenhaus et al. https://doi.org/10.1109/TVCG.2017.2779501
- The use of lightning data and Meteosat infrared imagery for the nowcasting of lightning activity A. Karagiannidis et al. https://doi.org/10.1016/j.atmosres.2015.08.011
- Review article: A comprehensive review of datasets and methodologies employed to produce thunderstorm climatologies L. Hayward et al. https://doi.org/10.5194/nhess-20-2463-2020
- Characterising the dynamic movement of thunderstorms using very low- and low-frequency (VLF/LF) total lightning data over the Pearl River Delta region S. Cheng et al. https://doi.org/10.5194/acp-22-10045-2022
- Analysis of a long-lived, two-cell lightning storm on Saturn G. Fischer et al. https://doi.org/10.1051/0004-6361/201833014
- A New Thunderstorm Identification Algorithm Based on Total Lightning Activity Y. Huang et al. https://doi.org/10.1029/2021EA002079
- Life Cycle Characteristics of Warm-Season Severe Thunderstorms in Central United States from 2010 to 2014 W. Liu & X. Li https://doi.org/10.3390/cli4030045
- On the Evaluation of Probabilistic Thunderstorm Forecasts and the Automated Generation of Thunderstorm Threat Areas during Environment Canada Pan Am Science Showcase D. Brunet et al. https://doi.org/10.1175/WAF-D-19-0011.1
- A vision transformer for lightning intensity estimation using 3D weather radar M. Lu et al. https://doi.org/10.1016/j.scitotenv.2022.158496
- Using a 10-Year Radar Archive for Nowcasting Precipitation Growth and Decay: A Probabilistic Machine Learning Approach L. Foresti et al. https://doi.org/10.1175/WAF-D-18-0206.1
- Thunderstorm activity over Fujian and Vicinity: Insights from thunderstorm tracking technology B. Zhu et al. https://doi.org/10.1016/j.jastp.2026.106844
- On the spatial distribution of rainfall nowcasting errors due to orographic forcing L. Foresti & A. Seed https://doi.org/10.1002/met.1440
- Thunderstorm tracking in Northwest Europe for enhanced hazard preparedness L. Hayward et al. https://doi.org/10.1002/joc.8123
- Electrical Properties of Vertical Dominant Charge Structures Observed in Corsican Thunderstorms With a LMA R. Houel et al. https://doi.org/10.1029/2023EA003354
- On the estimation of the lightning incidence to offshore wind farms M. Becerra et al. https://doi.org/10.1016/j.epsr.2017.12.008
- Assessing the Potential of Total Lightning for Nowcasting Ground Rainfall in Summer Thunderstorms Using Automatic Density-Dependent Tracking D. Mondal et al. https://doi.org/10.3390/atmos17040364
- A regional lightning climatology of the UK and Ireland and sensitivity to alternative detection networks L. Hayward et al. https://doi.org/10.1002/joc.7680
- Solving the storm split-merge problem—A combined storm identification, tracking algorithm B. Zan et al. https://doi.org/10.1016/j.atmosres.2018.12.007
- A 10-Year Study on the Characteristics of Thunderstorms in Belgium Based on Cloud-to-Ground Lightning Data D. Poelman https://doi.org/10.1175/MWR-D-14-00202.1
- International Practices of Thunderstorm Nowcasting A. Ivanova https://doi.org/10.3103/S1068373919110050
- A 3-D Storm Motion Estimation Method Based on Point Cloud Learning and Doppler Weather Radar Data Z. Zhang et al. https://doi.org/10.1109/TGRS.2021.3130406
21 citations as recorded by crossref.
- Visualization in Meteorology—A Survey of Techniques and Tools for Data Analysis Tasks M. Rautenhaus et al. https://doi.org/10.1109/TVCG.2017.2779501
- The use of lightning data and Meteosat infrared imagery for the nowcasting of lightning activity A. Karagiannidis et al. https://doi.org/10.1016/j.atmosres.2015.08.011
- Review article: A comprehensive review of datasets and methodologies employed to produce thunderstorm climatologies L. Hayward et al. https://doi.org/10.5194/nhess-20-2463-2020
- Characterising the dynamic movement of thunderstorms using very low- and low-frequency (VLF/LF) total lightning data over the Pearl River Delta region S. Cheng et al. https://doi.org/10.5194/acp-22-10045-2022
- Analysis of a long-lived, two-cell lightning storm on Saturn G. Fischer et al. https://doi.org/10.1051/0004-6361/201833014
- A New Thunderstorm Identification Algorithm Based on Total Lightning Activity Y. Huang et al. https://doi.org/10.1029/2021EA002079
- Life Cycle Characteristics of Warm-Season Severe Thunderstorms in Central United States from 2010 to 2014 W. Liu & X. Li https://doi.org/10.3390/cli4030045
- On the Evaluation of Probabilistic Thunderstorm Forecasts and the Automated Generation of Thunderstorm Threat Areas during Environment Canada Pan Am Science Showcase D. Brunet et al. https://doi.org/10.1175/WAF-D-19-0011.1
- A vision transformer for lightning intensity estimation using 3D weather radar M. Lu et al. https://doi.org/10.1016/j.scitotenv.2022.158496
- Using a 10-Year Radar Archive for Nowcasting Precipitation Growth and Decay: A Probabilistic Machine Learning Approach L. Foresti et al. https://doi.org/10.1175/WAF-D-18-0206.1
- Thunderstorm activity over Fujian and Vicinity: Insights from thunderstorm tracking technology B. Zhu et al. https://doi.org/10.1016/j.jastp.2026.106844
- On the spatial distribution of rainfall nowcasting errors due to orographic forcing L. Foresti & A. Seed https://doi.org/10.1002/met.1440
- Thunderstorm tracking in Northwest Europe for enhanced hazard preparedness L. Hayward et al. https://doi.org/10.1002/joc.8123
- Electrical Properties of Vertical Dominant Charge Structures Observed in Corsican Thunderstorms With a LMA R. Houel et al. https://doi.org/10.1029/2023EA003354
- On the estimation of the lightning incidence to offshore wind farms M. Becerra et al. https://doi.org/10.1016/j.epsr.2017.12.008
- Assessing the Potential of Total Lightning for Nowcasting Ground Rainfall in Summer Thunderstorms Using Automatic Density-Dependent Tracking D. Mondal et al. https://doi.org/10.3390/atmos17040364
- A regional lightning climatology of the UK and Ireland and sensitivity to alternative detection networks L. Hayward et al. https://doi.org/10.1002/joc.7680
- Solving the storm split-merge problem—A combined storm identification, tracking algorithm B. Zan et al. https://doi.org/10.1016/j.atmosres.2018.12.007
- A 10-Year Study on the Characteristics of Thunderstorms in Belgium Based on Cloud-to-Ground Lightning Data D. Poelman https://doi.org/10.1175/MWR-D-14-00202.1
- International Practices of Thunderstorm Nowcasting A. Ivanova https://doi.org/10.3103/S1068373919110050
- A 3-D Storm Motion Estimation Method Based on Point Cloud Learning and Doppler Weather Radar Data Z. Zhang et al. https://doi.org/10.1109/TGRS.2021.3130406
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