62 citations as recorded by crossref.

1. Lightning Potential Index and its spatial and temporal characteristics in COSMO NWP model I. Babuňková Uhlířová et al. https://doi.org/10.1016/j.atmosres.2022.106025
2. Performance assessment of WRF-ELEC and lightning potential index for improved forecasting in Odisha, India D. Mahapatra et al. https://doi.org/10.1007/s11069-026-08116-7
3. Accuracy of Thunderstorm Detection Based on DMRL-C Weather Radar Data N. Ilin & F. Kuterin https://doi.org/10.3103/S1068373920090083
4. Attention-Based Dual-Source Spatiotemporal Neural Network for Lightning Forecast T. Lin et al. https://doi.org/10.1109/ACCESS.2019.2950328
5. A theoretical approach to estimate the annual lightning hazards on human beings C. Gomes & M. Kadir https://doi.org/10.1016/j.atmosres.2011.04.020
6. Potential use of the GLM for nowcasting and data assimilation E. Vendrasco et al. https://doi.org/10.1016/j.atmosres.2020.105019
7. Flash flood prediction using an uncalibrated hydrological model and radar rainfall data in a Mediterranean watershed under changing hydrological conditions S. Rozalis et al. https://doi.org/10.1016/j.jhydrol.2010.03.021
8. Evaluation of Lightning Prediction by an Electrification and Discharge Model in Long-Term Forecasting Experiments L. Xu et al. https://doi.org/10.1155/2022/4583030
9. Statistical–dynamical modeling of the cloud-to-ground lightning activity in Portugal J. Sousa et al. https://doi.org/10.1016/j.atmosres.2013.04.010
10. Impacts of Non-Local versus Local Moisture Sources on a Heavy (and Deadly) Rain Event in Israel B. Lynn et al. https://doi.org/10.3390/atmos12070855
11. Urban weather modeling using WRF: linking physical assumptions, code implementation, and observational needs P. Joshi et al. https://doi.org/10.5194/gmd-18-7869-2025
12. Modeling Lightning Activity in the Third Pole Region: Performance of a km-Scale ICON-CLM Simulation P. Singh & B. Ahrens https://doi.org/10.3390/atmos14111655
13. Exploring hail and lightning diagnostics over the Alpine-Adriatic region in a km-scale climate model R. Cui et al. https://doi.org/10.5194/wcd-4-905-2023
14. A statistical scheme to forecast the daily lightning threat over southern Africa using the Unified Model M. Gijben et al. https://doi.org/10.1016/j.atmosres.2017.04.022
15. Forecasting of Local Lightning Using Spatial–Channel-Enhanced Recurrent Convolutional Neural Network W. Zhou et al. https://doi.org/10.3390/atmos15121478
16. Improvements in the prediction of extreme rainfall events with nested high-resolution rapid refresh modelling system over the Indian Himalayan region K. Hari Prasad et al. https://doi.org/10.1016/j.atmosres.2025.108191
17. Characteristic Features of the Clouds Producing Thunderstorm Ground Enhancements E. Svechnikova et al. https://doi.org/10.1029/2019JD030895
18. Performance evaluation of lightning potential index and flash count using WRF microphysical parameters over Rajasthan and West Bengal, India U. Mondal et al. https://doi.org/10.1016/j.dynatmoce.2023.101404
19. A Survey of Deep Learning-Based Lightning Prediction X. Wang et al. https://doi.org/10.3390/atmos14111698
20. Exploiting radar polarimetry for nowcasting thunderstorm hazards using deep learning N. Rombeek et al. https://doi.org/10.5194/nhess-24-133-2024
21. Improving thunderstorm and lightning prediction using a novel hybrid index and machine learning techniques: a case study in Northeast India G. Sawaisarje et al. https://doi.org/10.1007/s00703-025-01080-0
22. Thunderstorm Trends over Africa M. Harel & C. Price https://doi.org/10.1175/JCLI-D-18-0781.1
23. Predictability analysis and skillful scale verification of the Lightning Potential Index (LPI) in the COSMO-D2 high resolution ensemble system M. Salmi et al. https://doi.org/10.5194/asr-19-29-2022
24. Machine Learning-Based Identification of Key Predictors for Lightning Events in the Third Pole Region H. Jadhav et al. https://doi.org/10.3390/ijgi14080319
25. Lightning Over Central Canada: Skill Assessment for Various Land‐Atmosphere Model Configurations and Lightning Indices Over a Boreal Study Area J. Mortelmans et al. https://doi.org/10.1029/2022JD037236
26. 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
27. A dual-weighted loss function for lightning nowcasting J. Tian et al. https://doi.org/10.1016/j.aosl.2026.100778
28. The Estimation of Gross Primary Productivity over North Korea Using MODIS FPAR and WRF Meteorological Data N. Do et al. https://doi.org/10.7780/kjrs.2012.28.2.215
29. Numerical simulation of a widespread lightning event over north India using an ensemble of WRF modeling configurations A. Kumar et al. https://doi.org/10.1016/j.jastp.2022.105984
30. Lightning Prediction Using Electric Field Measurements Associated with Convective Events at a Tropical Location S. Jana et al. https://doi.org/10.1007/s00024-023-03229-7
31. The diurnal cycle of the lightning potential index over the Mexican tropical continental region during tropical cyclone Bud J. Clouthier‐Lopez et al. https://doi.org/10.1002/asl.1119
32. 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. https://doi.org/10.1029/2020JD033520
33. 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. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002159
34. Developing an optimized parameterization scheme for deriving a lightning threat product from a global model for all seasons over India G. Mohan et al. https://doi.org/10.1038/s41598-025-01521-1
35. Evaluating the impact of initial conditions on lightning simulation over Rajasthan: A synoptic and modelling approach using the WRF model F. Nima K K et al. https://doi.org/10.1016/j.atmosres.2025.108546
36. Doppler weather radar data assimilation at convective-allowing grid spacing for predicting an extreme weather event in Southern India H. Sad et al. https://doi.org/10.1080/01431161.2021.1880660
37. A diagnostic study of cloud physics and lightning flash rates in a severe pre‐monsoon thunderstorm over northeast India B. Choudhury et al. https://doi.org/10.1002/qj.3773
38. Lightning forecasting in Bangladesh based on the lightning potential index and the electric potential K. Rabbani et al. https://doi.org/10.1016/j.atmosres.2021.105973
39. A physics-based ensemble machine-learning approach to identifying a relationship between lightning indices and binary lightning hazard A. Thomas & S. Noble https://doi.org/10.3389/feart.2024.1376605
40. Investigating dust storm dynamics and lightning interactions using Weather Research Forecasting-Chemistry (WRF-CHEM) model over India V. Swathi et al. https://doi.org/10.1016/j.scitotenv.2025.180083
41. 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
42. A case study on numerical model predictability of genesis intensification and propagation of pre-monsoon thunderstorms over Bangladesh S. Hossain et al. https://doi.org/10.1016/j.dynatmoce.2026.101672
43. Can severe rain events over the Mediterranean region be detected through simple numerical indices? B. Ziv et al. https://doi.org/10.1007/s11069-016-2385-y
44. First reported case of thunderstorm asthma in Israel Y. Yair et al. https://doi.org/10.5194/nhess-19-2715-2019
45. Simulating Hail and Lightning Over the Alpine Adriatic Region—A Model Intercomparison Study B. Malečić et al. https://doi.org/10.1029/2022JD037989
46. Assessment of model time step and domain resolution of WRF model to simulate the lightning over Bihar and Rajasthan, India A. Kumar et al. https://doi.org/10.1007/s40808-023-01724-3
47. Performance of a novel NWP–AI hybrid lightning early warning system over Indian Subcontinent R. Sarkar et al. https://doi.org/10.1007/s12040-024-02470-5
48. A machine learning approach for prediction of seasonal lightning density in different lightning regions of India C. Chatterjee et al. https://doi.org/10.1002/joc.8005
49. Predicting Cloud-to-Ground and Intracloud Lightning in Weather Forecast Models B. Lynn et al. https://doi.org/10.1175/WAF-D-11-00144.1
50. Impact of Lightning NOx Emissions on Atmospheric Composition and Meteorology in Africa and Europe L. Menut et al. https://doi.org/10.3390/atmos11101128
51. European supercell thunderstorms—A prevalent current threat and an increasing future hazard M. Feldmann et al. https://doi.org/10.1126/sciadv.adx0513
52. 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. https://doi.org/10.1016/j.atmosres.2024.107382
53. The FLASH Project: using lightning data to better understand and predict flash floods C. Price et al. https://doi.org/10.1016/j.envsci.2011.03.004
54. ST-GLNet: A Spatiotemporal Graph Learning Network for Accurate Lightning Prediction Using Multimodal Meteorological Data J. Wang et al. https://doi.org/10.1109/TGRS.2026.3689475
55. Observational and Modelling Study of a Major Downburst Event in Liguria: The 14 October 2016 Case A. Parodi et al. https://doi.org/10.3390/atmos10120788
56. 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
57. Reviews and perspectives of high impact atmospheric processes in the Mediterranean S. Michaelides et al. https://doi.org/10.1016/j.atmosres.2017.11.022
58. Diagnostic Study of the Lightning Potential Index and Electric Field in Two Thunderstorm Cases over Bangladesh . Pappu Paul et al. https://doi.org/10.1134/S1024856022050177
59. 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. https://doi.org/10.1088/1755-1315/720/1/012009
60. A Year-Long Total Lightning Forecast over Italy with a Dynamic Lightning Scheme and WRF S. Federico et al. https://doi.org/10.3390/rs14143244
61. Contrasting lightning projection using the lightning potential index adapted in a convection-permitting regional climate model E. Brisson et al. https://doi.org/10.1007/s00382-021-05791-z
62. Calculation of the Lightning Potential Index and electric field in numerical weather prediction models S. Dementyeva et al. https://doi.org/10.1134/S0001433815010028