Articles | Volume 20, issue 9 
            
                
                    
            
            
            https://doi.org/10.5194/nhess-20-2463-2020
                    © Author(s) 2020. 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-20-2463-2020
                    © Author(s) 2020. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
Review article: A comprehensive review of datasets and methodologies employed to produce thunderstorm climatologies
                                            School of the Environment, Geography and Geosciences, University of Portsmouth, Burnaby Building, Burnaby Road, Portsmouth, PO1 3QL, United Kingdom
                                        
                                    Malcolm Whitworth
                                            School of the Environment, Geography and Geosciences, University of Portsmouth, Burnaby Building, Burnaby Road, Portsmouth, PO1 3QL, United Kingdom
                                        
                                    Nick Pepin
                                            School of the Environment, Geography and Geosciences, University of Portsmouth, Burnaby Building, Burnaby Road, Portsmouth, PO1 3QL, United Kingdom
                                        
                                    Steve Dorling
                                            School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, United Kingdom
                                        
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                            Total article views: 5,071 (including HTML, PDF, and XML)
                        
                            
                                
                                
                            
                                
                                
                            
                        
                        
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                            Total article views: 607 (including HTML, PDF, and XML)
                        
                            
                                
                                
                            
                                
                                
                            
                        
                        
                            Cumulative views and downloads 
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            | HTML | XML | Total | BibTeX | EndNote | |
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                                Total article views: 5,071 (including HTML, PDF, and XML)
                                
                                Thereof 4,708 with geography defined
                                    and 363 with unknown origin. 
                            
        
                            
                                Total article views: 607 (including HTML, PDF, and XML)
                                
                                Thereof 505 with geography defined
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                            Cited
14 citations as recorded by crossref.
- A New Thunderstorm Identification Algorithm Based on Total Lightning Activity Y. Huang et al. 10.1029/2021EA002079
- A Multi-Year Investigation of Thunderstorm Activity at Istanbul International Airport Using Atmospheric Stability Indices O. Kolay et al. 10.3390/atmos16040470
- Application of lightning spatio-temporal localization method based on deep LSTM and interpolation R. Bao et al. 10.1016/j.measurement.2021.110549
- Statistical Characteristics of Thunderstorm Activity in the Middle Reaches of the Yangtze River Basin Based on a Five‐Year Cloud‐To‐Ground Lighting Data Set Q. Wei et al. 10.1029/2023GL106498
- An Assessment of Atmospheric Convection Trends Over India Using Radiosonde Derived CAPE and Other Proxies P. Ojha et al. 10.1002/joc.8917
- Unveiling India’s lightning patterns through satellite-based climatology and numerical modelling of severe weather events: A review U. Mondal et al. 10.1007/s12040-024-02491-0
- Research on Lightning Prediction Based on GCN-LSTM Model Integrating Spatiotemporal Features W. Zhou et al. 10.3390/atmos16040447
- Atmospheric conditions conducive to thunderstorms with downbursts in Canada and a downburst precursor parameter M. Hadavi & D. Romanic 10.1016/j.atmosres.2024.107428
- CanCPLD: Convective Parameters and Lightning Data to Support Future Thunderstorm Projections in North America A. Cannon et al. 10.1038/s41597-025-05924-7
- The Urban Lightning Effect Revealed With Geostationary Lightning Mapper Observations J. Burke & M. Shepherd 10.1029/2022GL102272
- An Artificial Neural Network for Lightning Prediction Based on Atmospheric Electric Field Observations R. Bao et al. 10.3390/rs14174131
- Performance of a novel NWP–AI hybrid lightning early warning system over Indian Subcontinent R. Sarkar et al. 10.1007/s12040-024-02470-5
- A New Approach for the Analysis of Deep Convective Events: Thunderstorm Intensity Index D. Jelić et al. 10.3390/atmos12070908
- A regional lightning climatology of the UK and Ireland and sensitivity to alternative detection networks L. Hayward et al. 10.1002/joc.7680
13 citations as recorded by crossref.
- A New Thunderstorm Identification Algorithm Based on Total Lightning Activity Y. Huang et al. 10.1029/2021EA002079
- A Multi-Year Investigation of Thunderstorm Activity at Istanbul International Airport Using Atmospheric Stability Indices O. Kolay et al. 10.3390/atmos16040470
- Application of lightning spatio-temporal localization method based on deep LSTM and interpolation R. Bao et al. 10.1016/j.measurement.2021.110549
- Statistical Characteristics of Thunderstorm Activity in the Middle Reaches of the Yangtze River Basin Based on a Five‐Year Cloud‐To‐Ground Lighting Data Set Q. Wei et al. 10.1029/2023GL106498
- An Assessment of Atmospheric Convection Trends Over India Using Radiosonde Derived CAPE and Other Proxies P. Ojha et al. 10.1002/joc.8917
- Unveiling India’s lightning patterns through satellite-based climatology and numerical modelling of severe weather events: A review U. Mondal et al. 10.1007/s12040-024-02491-0
- Research on Lightning Prediction Based on GCN-LSTM Model Integrating Spatiotemporal Features W. Zhou et al. 10.3390/atmos16040447
- Atmospheric conditions conducive to thunderstorms with downbursts in Canada and a downburst precursor parameter M. Hadavi & D. Romanic 10.1016/j.atmosres.2024.107428
- CanCPLD: Convective Parameters and Lightning Data to Support Future Thunderstorm Projections in North America A. Cannon et al. 10.1038/s41597-025-05924-7
- The Urban Lightning Effect Revealed With Geostationary Lightning Mapper Observations J. Burke & M. Shepherd 10.1029/2022GL102272
- An Artificial Neural Network for Lightning Prediction Based on Atmospheric Electric Field Observations R. Bao et al. 10.3390/rs14174131
- Performance of a novel NWP–AI hybrid lightning early warning system over Indian Subcontinent R. Sarkar et al. 10.1007/s12040-024-02470-5
- A New Approach for the Analysis of Deep Convective Events: Thunderstorm Intensity Index D. Jelić et al. 10.3390/atmos12070908
1 citations as recorded by crossref.
Latest update: 31 Oct 2025
Short summary
                    This review article outlines the state of thunderstorm climatologies, which are underrepresented in the literature. Thunderstorms overlap with lightning and intense precipitation events, both of which create important hazards. This article compiles and evaluates information on datasets, research approaches and methodologies used in quantifying thunderstorm distribution, providing an introduction to the topic and signposting new and established researchers to research articles and datasets.
                    This review article outlines the state of thunderstorm climatologies, which are underrepresented...
                    
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