52 citations as recorded by crossref.

1. Evaluation of the two‐moment scheme LIMA based on microphysical observations from the HyMeX campaign M. Taufour et al. 10.1002/qj.3283
2. Comparison of Two-Moment and Three-Moment Bulk Microphysics Schemes in Thunderstorm Simulations over Indian Subcontinent C. Mallick et al. 10.1016/j.atmosres.2024.107614
3. Simulations of the impact of cloud condensation nuclei and ice-nucleating particles perturbations on the microphysics and radar reflectivity factor of stratiform mixed-phase clouds J. Lee et al. 10.5194/acp-24-5737-2024
4. The ALADIN System and its canonical model configurations AROME CY41T1 and ALARO CY40T1 P. Termonia et al. 10.5194/gmd-11-257-2018
5. Atmospheric Sea Spray Modeling in the North‐East Atlantic Ocean Using Tunnel‐Derived Generation Functions and the SUMOS Cruise Data Set W. Bruch et al. 10.1029/2022JD038330
6. Development of “Physical Parametrizations with PYthon” (PPPY, version 1.1) and its usage to reduce the time-step dependency in a microphysical scheme S. Riette 10.5194/gmd-13-443-2020
7. Formation of fog due to stratus lowering: An observational and modelling case study M. Fathalli et al. 10.1002/qj.4304
8. Cloud electrification and lightning activity in a tropical cyclone-like vortex C. Barthe et al. 10.1016/j.atmosres.2016.05.023
9. The Importance of the Ice-Phase Microphysics Parameterization for Simulating the Effects of Changes to CCN Concentrations in Deep Convection C. Jouan & J. Milbrandt 10.1175/JAS-D-18-0168.1
10. Evaluation of Two Cloud-Resolving Models Using Bin or Bulk Microphysics Representation for the HyMeX-IOP7a Heavy Precipitation Event D. Arteaga et al. 10.3390/atmos11111177
11. Is a more physical representation of aerosol activation needed for simulations of fog? C. Poku et al. 10.5194/acp-21-7271-2021
12. Impact of urban land use on mean and heavy rainfall during the Indian summer monsoon R. Falga & C. Wang 10.5194/acp-24-631-2024
13. Uncertainty of SW Cloud Radiative Effect in Atmospheric Models Due to the Parameterization of Liquid Cloud Optical Properties E. Jahangir et al. 10.1029/2021MS002742
14. UCLALES–SALSA v1.0: a large-eddy model with interactive sectional microphysics for aerosol, clouds and precipitation J. Tonttila et al. 10.5194/gmd-10-169-2017
15. Evaluation of the AROME model's ability to represent ice crystal icing using in situ observations from the HAIC 2015 field campaign J. Wurtz et al. 10.1002/qj.4100
16. W-band radar observations for fog forecast improvement: an analysis of model and forward operator errors A. Bell et al. 10.5194/amt-14-4929-2021
17. A Case Study of the Possible Meteorological Causes of Unexpected Fire Behavior in the Pantanal Wetland, Brazil F. Couto et al. 10.3390/earth5030028
18. Assimilation of radar dual‐polarization observations in the AROME model C. Augros et al. 10.1002/qj.3269
19. Prediction of CCN spectra parameters in the North China Plain using a random forest model M. Liang et al. 10.1016/j.atmosenv.2022.119323
20. Developments of Single-Moment ALARO Microphysics Scheme with Three Prognostic Ice Categories D. Nemec et al. 10.16993/tellusa.3464
21. All‐sky satellite data assimilation at operational weather forecasting centres A. Geer et al. 10.1002/qj.3202
22. Assimilation of Ground‐Based Microwave Radiometer Temperature Observations Into a Convective‐Scale NWP Model for Fog Forecast Improvement G. Thomas et al. 10.1002/qj.4893
23. The HARMONIE–AROME Model Configuration in the ALADIN–HIRLAM NWP System L. Bengtsson et al. 10.1175/MWR-D-16-0417.1
24. Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
25. LIMA (v2.0): A full two-moment cloud microphysical scheme for the mesoscale non-hydrostatic model Meso-NH v5-6 M. Taufour et al. 10.5194/gmd-17-8773-2024
26. Overview of the Meso-NH model version 5.4 and its applications C. Lac et al. 10.5194/gmd-11-1929-2018
27. Impact of the Microphysics in HARMONIE-AROME on Fog S. Contreras Osorio et al. 10.3390/atmos13122127
28. Combining Triple‐Moment Ice With Prognostic Liquid Fraction in the P3 Microphysics Scheme: Impacts on a Simulated Squall Line M. Cholette et al. 10.1029/2022MS003328
29. Forecasting and modelling ice layer formation on the snowpack due to freezing precipitation in the Pyrenees L. Quéno et al. 10.1016/j.coldregions.2017.11.007
30. Impacts of Varying Concentrations of Cloud Condensation Nuclei on Deep Convective Cloud Updrafts—A Multimodel Assessment P. Marinescu et al. 10.1175/JAS-D-20-0200.1
31. Numerical investigation of the role of Saharan dust on the anomalous electrical structure of a thunderstorm over Corsica C. Barthe et al. 10.1016/j.atmosres.2025.107988
32. Experimental study on the evolution of droplet size distribution during the fog life cycle M. Mazoyer et al. 10.5194/acp-22-11305-2022
33. Examining relationships between cloud‐resolving model parameters and total flash rates to generate lightning density maps C. Bovalo et al. 10.1002/qj.3494
34. Impact of the Generation and Activation of Sea Salt Aerosols on the Evolution of Tropical Cyclone Dumile T. Hoarau et al. 10.1029/2017JD028125
35. The impact of aerosols on stratiform clouds over southern West Africa: a large-eddy-simulation study L. Delbeke et al. 10.5194/acp-23-13329-2023
36. Improving supercooled liquid water representation in the microphysical scheme ICE3 R. Dupont et al. 10.1002/qj.4806
37. Fog in heterogeneous environments: the relative importance of local and non‐local processes on radiative‐advective fog formation L. Ducongé et al. 10.1002/qj.3783
38. Simulation of  W‐band radar reflectivity for model validation and data assimilation M. Borderies et al. 10.1002/qj.3210
39. Impact of Tropical Cyclones on Inhabited Areas of the SWIO Basin at Present and Future Horizons. Part 2: Modeling Component of the Research Program RENOVRISK-CYCLONE C. Barthe et al. 10.3390/atmos12060689
40. Overview towards improved understanding of the mechanisms leading to heavy precipitation in the western Mediterranean: lessons learned from HyMeX S. Khodayar et al. 10.5194/acp-21-17051-2021
41. 3D Monte-Carlo simulations of lightning optical waveforms and images observable by on-board operational instruments A. Rimboud et al. 10.1016/j.jqsrt.2024.108950
42. Microphysics Impacts on the Warm Conveyor Belt and Ridge Building of the NAWDEX IOP6 Cyclone M. Mazoyer et al. 10.1175/MWR-D-21-0061.1
43. Impacts of Transition Approach of Water Vapor-Related Microphysical Processes on Quantitative Precipitation Forecasting Z. Ma et al. 10.3390/atmos13071133
44. The Cycle 46 Configuration of the HARMONIE-AROME Forecast Model E. Gleeson et al. 10.3390/meteorology3040018
45. Short‐range probabilistic forecasting of convective risks for aviation based on a lagged‐average‐forecast ensemble approach R. Osinski & F. Bouttier 10.1002/met.1674
46. A representation of the collisional ice break-up process in the two-moment microphysics LIMA v1.0 scheme of Meso-NH T. Hoarau et al. 10.5194/gmd-11-4269-2018
47. ReNovRisk: a multidisciplinary programme to study the cyclonic risks in the South-West Indian Ocean P. Tulet et al. 10.1007/s11069-021-04624-w
48. The sensitivity of intense rainfall to aerosol particle loading – a comparison of bin-resolved microphysics modelling with observations of heavy precipitation from HyMeX IOP7a C. Kagkara et al. 10.5194/nhess-20-1469-2020
49. Genesis of diamond dust, ice fog and thick cloud episodes observed and modelled above Dome C, Antarctica P. Ricaud et al. 10.5194/acp-17-5221-2017
50. Improvements to the parametrization of snow in AROME in the context of ice crystal icing J. Wurtz et al. 10.1002/qj.4437
51. Impact of the Generation and Activation of Sea Salt Aerosols on the Evolution of Tropical Cyclone Dumile T. Hoarau et al. 10.1029/2017JD028125
52. The radiative impact of desert dust on orographic rain in the Cévennes–Vivarais area: a case study from HyMeX C. Flamant et al. 10.5194/acp-15-12231-2015