50 citations as recorded by crossref.

1. Lightning Potential Index and its spatial and temporal characteristics in COSMO NWP model I. Babuňková Uhlířová et al. 10.1016/j.atmosres.2022.106025
2. Accuracy of Thunderstorm Detection Based on DMRL-C Weather Radar Data N. Ilin & F. Kuterin 10.3103/S1068373920090083
3. Attention-Based Dual-Source Spatiotemporal Neural Network for Lightning Forecast T. Lin et al. 10.1109/ACCESS.2019.2950328
4. A theoretical approach to estimate the annual lightning hazards on human beings C. Gomes & M. Kadir 10.1016/j.atmosres.2011.04.020
5. Potential use of the GLM for nowcasting and data assimilation E. Vendrasco et al. 10.1016/j.atmosres.2020.105019
6. Flash flood prediction using an uncalibrated hydrological model and radar rainfall data in a Mediterranean watershed under changing hydrological conditions S. Rozalis et al. 10.1016/j.jhydrol.2010.03.021
7. Evaluation of Lightning Prediction by an Electrification and Discharge Model in Long-Term Forecasting Experiments L. Xu et al. 10.1155/2022/4583030
8. Statistical–dynamical modeling of the cloud-to-ground lightning activity in Portugal J. Sousa et al. 10.1016/j.atmosres.2013.04.010
9. Impacts of Non-Local versus Local Moisture Sources on a Heavy (and Deadly) Rain Event in Israel B. Lynn et al. 10.3390/atmos12070855
10. Modeling Lightning Activity in the Third Pole Region: Performance of a km-Scale ICON-CLM Simulation P. Singh & B. Ahrens 10.3390/atmos14111655
11. Exploring hail and lightning diagnostics over the Alpine-Adriatic region in a km-scale climate model R. Cui et al. 10.5194/wcd-4-905-2023
12. A statistical scheme to forecast the daily lightning threat over southern Africa using the Unified Model M. Gijben et al. 10.1016/j.atmosres.2017.04.022
13. Forecasting of Local Lightning Using Spatial–Channel-Enhanced Recurrent Convolutional Neural Network W. Zhou et al. 10.3390/atmos15121478
14. Characteristic Features of the Clouds Producing Thunderstorm Ground Enhancements E. Svechnikova et al. 10.1029/2019JD030895
15. Performance evaluation of lightning potential index and flash count using WRF microphysical parameters over Rajasthan and West Bengal, India U. Mondal et al. 10.1016/j.dynatmoce.2023.101404
16. A Survey of Deep Learning-Based Lightning Prediction X. Wang et al. 10.3390/atmos14111698
17. Exploiting radar polarimetry for nowcasting thunderstorm hazards using deep learning N. Rombeek et al. 10.5194/nhess-24-133-2024
18. Thunderstorm Trends over Africa M. Harel & C. Price 10.1175/JCLI-D-18-0781.1
19. Predictability analysis and skillful scale verification of the Lightning Potential Index (LPI) in the COSMO-D2 high resolution ensemble system M. Salmi et al. 10.5194/asr-19-29-2022
20. Lightning Over Central Canada: Skill Assessment for Various Land‐Atmosphere Model Configurations and Lightning Indices Over a Boreal Study Area J. Mortelmans et al. 10.1029/2022JD037236
21. Data-Driven Prediction of Severe Convection at Deutscher Wetterdienst (DWD): A Brief Overview of Recent Developments R. Müller & A. Barleben 10.3390/atmos15040499
22. The Estimation of Gross Primary Productivity over North Korea Using MODIS FPAR and WRF Meteorological Data N. Do et al. 10.7780/kjrs.2012.28.2.215
23. Numerical simulation of a widespread lightning event over north India using an ensemble of WRF modeling configurations A. Kumar et al. 10.1016/j.jastp.2022.105984
24. Lightning Prediction Using Electric Field Measurements Associated with Convective Events at a Tropical Location S. Jana et al. 10.1007/s00024-023-03229-7
25. The diurnal cycle of the lightning potential index over the Mexican tropical continental region during tropical cyclone Bud J. Clouthier‐Lopez et al. 10.1002/asl.1119
26. Using Factor Separation to Elucidate the Respective Contributions of Desert Dust and Urban Pollution to the 4 January 2020 Tel Aviv Lightning and Flash Flood Disaster B. Lynn et al. 10.1029/2020JD033520
27. Maximization of Historical Storm Events over Seven Watersheds in Central/Southern Sierra Nevada by Means of Atmospheric Boundary Condition Shifting and Relative Humidity Optimization Methods T. Trinh et al. 10.1061/(ASCE)HE.1943-5584.0002159
28. Doppler weather radar data assimilation at convective-allowing grid spacing for predicting an extreme weather event in Southern India H. Sad et al. 10.1080/01431161.2021.1880660
29. A diagnostic study of cloud physics and lightning flash rates in a severe pre‐monsoon thunderstorm over northeast India B. Choudhury et al. 10.1002/qj.3773
30. Lightning forecasting in Bangladesh based on the lightning potential index and the electric potential K. Rabbani et al. 10.1016/j.atmosres.2021.105973
31. A physics-based ensemble machine-learning approach to identifying a relationship between lightning indices and binary lightning hazard A. Thomas & S. Noble 10.3389/feart.2024.1376605
32. Detail study of time evolution of three thunderstorm events in Tehran area using observations and numerical simulations for lightning nowcasting A. Mahmoudian et al. 10.1007/s11069-021-04886-4
33. Can severe rain events over the Mediterranean region be detected through simple numerical indices? B. Ziv et al. 10.1007/s11069-016-2385-y
34. First reported case of thunderstorm asthma in Israel Y. Yair et al. 10.5194/nhess-19-2715-2019
35. Simulating Hail and Lightning Over the Alpine Adriatic Region—A Model Intercomparison Study B. Malečić et al. 10.1029/2022JD037989
36. Assessment of model time step and domain resolution of WRF model to simulate the lightning over Bihar and Rajasthan, India A. Kumar et al. 10.1007/s40808-023-01724-3
37. Performance of a novel NWP–AI hybrid lightning early warning system over Indian Subcontinent R. Sarkar et al. 10.1007/s12040-024-02470-5
38. A machine learning approach for prediction of seasonal lightning density in different lightning regions of India C. Chatterjee et al. 10.1002/joc.8005
39. Predicting Cloud-to-Ground and Intracloud Lightning in Weather Forecast Models B. Lynn et al. 10.1175/WAF-D-11-00144.1
40. Impact of Lightning NOx Emissions on Atmospheric Composition and Meteorology in Africa and Europe L. Menut et al. 10.3390/atmos11101128
41. Improving the lightning forecast with the WRF model and lightning data assimilation: Results of a two-seasons numerical experiment over Italy S. Federico et al. 10.1016/j.atmosres.2024.107382
42. The FLASH Project: using lightning data to better understand and predict flash floods C. Price et al. 10.1016/j.envsci.2011.03.004
43. Observational and Modelling Study of a Major Downburst Event in Liguria: The 14 October 2016 Case A. Parodi et al. 10.3390/atmos10120788
44. Using Lightning Data to Better Understand and Predict Flash Floods in the Mediterranean C. Price et al. 10.1007/s10712-011-9146-y
45. Reviews and perspectives of high impact atmospheric processes in the Mediterranean S. Michaelides et al. 10.1016/j.atmosres.2017.11.022
46. Diagnostic Study of the Lightning Potential Index and Electric Field in Two Thunderstorm Cases over Bangladesh . Pappu Paul et al. 10.1134/S1024856022050177
47. Numerical Simulation of the Development of a Powerful Convective Cloud Based on a Three-dimensional Model with Explicit Microphysics and Taking into Account Electrical Coagulation V. Shapovalov et al. 10.1088/1755-1315/720/1/012009
48. A Year-Long Total Lightning Forecast over Italy with a Dynamic Lightning Scheme and WRF S. Federico et al. 10.3390/rs14143244
49. Contrasting lightning projection using the lightning potential index adapted in a convection-permitting regional climate model E. Brisson et al. 10.1007/s00382-021-05791-z
50. Calculation of the Lightning Potential Index and electric field in numerical weather prediction models S. Dementyeva et al. 10.1134/S0001433815010028