61 citations as recorded by crossref.

1. Lightning Potential Index and its spatial and temporal characteristics in COSMO NWP model I. Babuňková Uhlířová et al.
2. Performance assessment of WRF-ELEC and lightning potential index for improved forecasting in Odisha, India D. Mahapatra et al.
3. Accuracy of Thunderstorm Detection Based on DMRL-C Weather Radar Data N. Ilin & F. Kuterin
4. Attention-Based Dual-Source Spatiotemporal Neural Network for Lightning Forecast T. Lin et al.
5. A theoretical approach to estimate the annual lightning hazards on human beings C. Gomes & M. Kadir
6. Potential use of the GLM for nowcasting and data assimilation E. Vendrasco et al.
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.
8. Evaluation of Lightning Prediction by an Electrification and Discharge Model in Long-Term Forecasting Experiments L. Xu et al.
9. Statistical–dynamical modeling of the cloud-to-ground lightning activity in Portugal J. Sousa et al.
10. Impacts of Non-Local versus Local Moisture Sources on a Heavy (and Deadly) Rain Event in Israel B. Lynn et al.
11. Urban weather modeling using WRF: linking physical assumptions, code implementation, and observational needs P. Joshi et al.
12. Modeling Lightning Activity in the Third Pole Region: Performance of a km-Scale ICON-CLM Simulation P. Singh & B. Ahrens
13. Exploring hail and lightning diagnostics over the Alpine-Adriatic region in a km-scale climate model R. Cui et al.
14. A statistical scheme to forecast the daily lightning threat over southern Africa using the Unified Model M. Gijben et al.
15. Forecasting of Local Lightning Using Spatial–Channel-Enhanced Recurrent Convolutional Neural Network W. Zhou et al.
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.
17. Characteristic Features of the Clouds Producing Thunderstorm Ground Enhancements E. Svechnikova et al.
18. Performance evaluation of lightning potential index and flash count using WRF microphysical parameters over Rajasthan and West Bengal, India U. Mondal et al.
19. A Survey of Deep Learning-Based Lightning Prediction X. Wang et al.
20. Exploiting radar polarimetry for nowcasting thunderstorm hazards using deep learning N. Rombeek et al.
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.
22. Thunderstorm Trends over Africa M. Harel & C. Price
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.
24. Machine Learning-Based Identification of Key Predictors for Lightning Events in the Third Pole Region H. Jadhav et al.
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.
26. Data-Driven Prediction of Severe Convection at Deutscher Wetterdienst (DWD): A Brief Overview of Recent Developments R. Müller & A. Barleben
27. A dual-weighted loss function for lightning nowcasting J. Tian et al.
28. The Estimation of Gross Primary Productivity over North Korea Using MODIS FPAR and WRF Meteorological Data N. Do et al.
29. Numerical simulation of a widespread lightning event over north India using an ensemble of WRF modeling configurations A. Kumar et al.
30. Lightning Prediction Using Electric Field Measurements Associated with Convective Events at a Tropical Location S. Jana et al.
31. The diurnal cycle of the lightning potential index over the Mexican tropical continental region during tropical cyclone Bud J. Clouthier‐Lopez et al.
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.
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.
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.
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.
36. Doppler weather radar data assimilation at convective-allowing grid spacing for predicting an extreme weather event in Southern India H. Sad et al.
37. A diagnostic study of cloud physics and lightning flash rates in a severe pre‐monsoon thunderstorm over northeast India B. Choudhury et al.
38. Lightning forecasting in Bangladesh based on the lightning potential index and the electric potential K. Rabbani et al.
39. A physics-based ensemble machine-learning approach to identifying a relationship between lightning indices and binary lightning hazard A. Thomas & S. Noble
40. Investigating dust storm dynamics and lightning interactions using Weather Research Forecasting-Chemistry (WRF-CHEM) model over India V. Swathi et al.
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.
42. A case study on numerical model predictability of genesis intensification and propagation of pre-monsoon thunderstorms over Bangladesh S. Hossain et al.
43. Can severe rain events over the Mediterranean region be detected through simple numerical indices? B. Ziv et al.
44. First reported case of thunderstorm asthma in Israel Y. Yair et al.
45. Simulating Hail and Lightning Over the Alpine Adriatic Region—A Model Intercomparison Study B. Malečić et al.
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.
47. Performance of a novel NWP–AI hybrid lightning early warning system over Indian Subcontinent R. Sarkar et al.
48. A machine learning approach for prediction of seasonal lightning density in different lightning regions of India C. Chatterjee et al.
49. Predicting Cloud-to-Ground and Intracloud Lightning in Weather Forecast Models B. Lynn et al.
50. Impact of Lightning NOx Emissions on Atmospheric Composition and Meteorology in Africa and Europe L. Menut et al.
51. European supercell thunderstorms—A prevalent current threat and an increasing future hazard M. Feldmann et al.
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.
53. The FLASH Project: using lightning data to better understand and predict flash floods C. Price et al.
54. Observational and Modelling Study of a Major Downburst Event in Liguria: The 14 October 2016 Case A. Parodi et al.
55. Using Lightning Data to Better Understand and Predict Flash Floods in the Mediterranean C. Price et al.
56. Reviews and perspectives of high impact atmospheric processes in the Mediterranean S. Michaelides et al.
57. Diagnostic Study of the Lightning Potential Index and Electric Field in Two Thunderstorm Cases over Bangladesh . Pappu Paul et al.
58. 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.
59. A Year-Long Total Lightning Forecast over Italy with a Dynamic Lightning Scheme and WRF S. Federico et al.
60. Contrasting lightning projection using the lightning potential index adapted in a convection-permitting regional climate model E. Brisson et al.
61. Calculation of the Lightning Potential Index and electric field in numerical weather prediction models S. Dementyeva et al.