36 citations as recorded by crossref.

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4. A 5-yr Climatology of Severe Convective Wind Events over China X. Yang et al. https://doi.org/10.1175/WAF-D-16-0101.1
5. A Novel Approach for the Detection of Developing Thunderstorm Cells R. Müller et al. https://doi.org/10.3390/rs11040443
6. Fine‐Tuning Lightning Nowcasting for a New Domain A. Jorge et al. https://doi.org/10.1002/met.70174
7. The Emergence of Lightning in Severe Thunderstorm Prediction and the Possible Contributions from Spatial Science A. Ellis & P. Miller https://doi.org/10.1111/gec3.12265
8. Nowcasting thunderstorms in the Mediterranean region using lightning data M. Kohn et al. https://doi.org/10.1016/j.atmosres.2010.08.010
9. The temporal evolution of three-dimensional lightning parameters and their suitability for thunderstorm tracking and nowcasting V. Meyer et al. https://doi.org/10.5194/acp-13-5151-2013
10. A Novel Approach for the Global Detection and Nowcasting of Deep Convection and Thunderstorms R. Müller et al. https://doi.org/10.3390/rs14143372
11. Increasing the Accuracy of Two-Hour-Ahead Lightning Threat Predictions Using a 1-km-Resolution Numerical Weather Prediction Model: A Decision-Support Approach with a Spatial Maximum Filter R. Kato et al. https://doi.org/10.2151/sola.2025-050
12. Real-Time Hazard Approximation of Long-Lasting Convective Storms Using Emergency Data P. Rossi et al. https://doi.org/10.1175/JTECH-D-11-00106.1
13. An Extreme Hailstorm on 27 July 2017 in Istanbul, Turkey: Synoptic Scale Circulation and Thermodynamic Evaluation H. Baltaci et al. https://doi.org/10.1007/s00024-018-1841-x
14. A Deep Learning Network for Cloud-to-Ground Lightning Nowcasting with Multisource Data K. Zhou et al. https://doi.org/10.1175/JTECH-D-19-0146.1
15. A lightning augmented recurrent nowcasting model based on self-supervised learning and multi-modal fusion method L. Zhang et al. https://doi.org/10.1016/j.atmosres.2025.108089
16. Using Lightning Data to Better Understand and Predict Flash Floods in the Mediterranean C. Price et al. https://doi.org/10.1007/s10712-011-9146-y
17. Detail study of time evolution of three thunderstorm events in Tehran area using observations and numerical simulations for lightning nowcasting A. Mahmoudian et al. https://doi.org/10.1007/s11069-021-04886-4
18. A deep learning framework for lightning forecasting with multi‐source spatiotemporal data Y. Geng et al. https://doi.org/10.1002/qj.4167
19. Evaluation of WRF-ELEC model to forecast lightning over the North Eastern region of India A. Srivastava et al. https://doi.org/10.1007/s00703-023-00977-y
20. Thunderstorm activity over Fujian and Vicinity: Insights from thunderstorm tracking technology B. Zhu et al. https://doi.org/10.1016/j.jastp.2026.106844
21. The Role of NWP Filter for the Satellite Based Detection of Cumulonimbus Clouds R. Müller et al. https://doi.org/10.3390/rs10030386
22. Data-Driven Prediction of Severe Convection at Deutscher Wetterdienst (DWD): A Brief Overview of Recent Developments R. Müller & A. Barleben https://doi.org/10.3390/atmos15040499
23. 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. https://doi.org/10.1029/2023GL106498
24. LightNet+: A dual-source lightning forecasting network with bi-direction spatiotemporal transformation X. Zhou et al. https://doi.org/10.1007/s10489-021-03089-5
25. Thunderstorm Activity over the Qinghai–Tibet Plateau Indicated by the Combined Data of the FY-2E Geostationary Satellite and WWLLN Y. Du et al. https://doi.org/10.3390/rs14122855
26. End-to-End Prediction of Lightning Events from Geostationary Satellite Images S. Brodehl et al. https://doi.org/10.3390/rs14153760
27. Multifractal Characteristics of Cloud-to-Ground Lightning Intensity Observed in AMMA-CATCH Station (Northern Benin) M. Agbazo et al. https://doi.org/10.1007/s42865-020-00004-7
28. An Analysis of Total Lightning Flash Rates Over Florida T. Mazzetti & H. Fuelberg https://doi.org/10.1002/2017JD027579
29. Visual Analysis for Nowcasting of Multidimensional Lightning Data S. Peters & L. Meng https://doi.org/10.3390/ijgi2030817
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32. Meteorological conditions leading to the 2015 Salgar flash flood: lessons for vulnerable regions in tropical complex terrain C. Hoyos et al. https://doi.org/10.5194/nhess-19-2635-2019
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34. 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
35. Spatio-temporal clustering and density estimation of lightning data for the tracking of convective events C. Strauss et al. https://doi.org/10.1016/j.atmosres.2013.07.008
36. Improving Probabilistic Lightning Forecasts Through Ensemble Postprocessing with Mesoscale Information H. Li et al. https://doi.org/10.3390/atmos17040371