69 citations as recorded by crossref.

1. Sensitivity of Numerical Simulations of Near-Surface Atmospheric Conditions to Snow Depth and Surface Albedo during an Ice Fog Event over Heber Valley F. Zhang & Z. Pu 10.1175/JAMC-D-18-0064.1
2. The ICON Single-Column Mode I. Bašták Ďurán et al. 10.3390/atmos12070906
3. Unravelling the relative roles of physical processes in modelling the life cycle of a warm radiation fog G. Steeneveld & M. de Bode 10.1002/qj.3300
4. Long‐Term Fog Variation and Its Impact Factors Over Polluted Regions of East China S. Yan et al. 10.1029/2018JD029389
5. Aerosol–stratocumulus interactions: towards a better process understanding using closures between observations and large eddy simulations S. Calderón et al. 10.5194/acp-22-12417-2022
6. How important are aerosol–fog interactions for the successful modelling of nocturnal radiation fog? C. Poku et al. 10.1002/wea.3503
7. Direct Numerical Simulation of Fog: The Sensitivity of a Dissipation Phase to Environmental Conditions M. Karimi 10.3390/atmos11010012
8. Sofia Airport Visibility Estimation with Two Machine-Learning Techniques N. Penov & G. Guerova 10.3390/rs15194799
9. Comparison of a spectral microphysics and a two-moment cloud scheme: Numerical simulation of a radiation fog event A. Bott 10.1016/j.atmosres.2021.105787
10. Transition Periods in the Diurnally-Varying Atmospheric Boundary Layer Over Land W. Angevine et al. 10.1007/s10546-020-00515-y
11. Identifying the key challenges for fog and low stratus forecasting in complex terrain S. Westerhuis et al. 10.1002/qj.3849
12. A Lagrangian Cloud Model for the Study of Marine Fog D. Richter et al. 10.1007/s10546-020-00595-w
13. Implementation of the urban parameterization scheme in the Delhi model with an improved urban morphology A. Theethai Jacob et al. 10.1002/qj.4382
14. The evolution of cloud and aerosol microphysics at the summit of Mt. Tai, China J. Li et al. 10.5194/acp-20-13735-2020
15. Changes in aerosol particle composition during sea fog formation events in the sea ice regions of the Arctic Ocean S. Zhao et al. 10.1016/j.atmosenv.2022.118943
16. LANFEX: A Field and Modeling Study to Improve Our Understanding and Forecasting of Radiation Fog J. Price et al. 10.1175/BAMS-D-16-0299.1
17. Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 J. Mulcahy et al. 10.1029/2018MS001464
18. Stratus over rolling terrain: Large‐eddy simulation reference and sensitivity to grid spacing and numerics J. Weinkaemmerer et al. 10.1002/qj.4372
19. Particle number size distribution of PM1 and PM10 in fogs and implications on fog droplet evolutions S. Wu et al. 10.1016/j.atmosenv.2022.119086
20. Towards a Better Representation of Fog Microphysics in Large-Eddy Simulations Based on an Embedded Lagrangian Cloud Model J. Schwenkel & B. Maronga 10.3390/atmos11050466
21. Formation of fog due to stratus lowering: An observational and modelling case study M. Fathalli et al. 10.1002/qj.4304
22. The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations D. Walters et al. 10.5194/gmd-12-1909-2019
23. Visibility Data Assimilation and Prediction Using an Observation Network in South Korea M. Kim et al. 10.1007/s00024-019-02288-z
24. Large-eddy simulation of radiation fog with comprehensive two-moment bulk microphysics: impact of different aerosol activation and condensation parameterizations J. Schwenkel & B. Maronga 10.5194/acp-19-7165-2019
25. On the Formation and Development of Radiation Fog: An Observational Study J. Price 10.1007/s10546-019-00444-5
26. Radiative effects of clouds and fog on long-lasting heavy fog events in northern China L. Guo et al. 10.1016/j.atmosres.2020.105444
27. The First Characterization of Fog Microphysics in the United Arab Emirates, an Arid Region on the Arabian Peninsula M. Weston et al. 10.1029/2021EA002032
28. A review on factors influencing fog formation, classification, forecasting, detection and impacts K. Lakra & K. Avishek 10.1007/s12210-022-01060-1
29. Observations of Fog‐Aerosol Interactions Over Central Greenland H. Guy et al. 10.1029/2023JD038718
30. On the effect of nocturnal radiation fog on the development of the daytime convective boundary layer: A large‐eddy simulation study J. Schwenkel & B. Maronga 10.1002/qj.4352
31. Investigating the Sensitivity of Marine Fog to Physical and Microphysical Processes Using Large-Eddy Simulation C. Wainwright & D. Richter 10.1007/s10546-020-00599-6
32. Experimental study of the aerosol impact on fog microphysics M. Mazoyer et al. 10.5194/acp-19-4323-2019
33. Numerical simulation of the microphysics and liquid chemical processes occur in fog using size resolving bin scheme J. Bodaballa et al. 10.1016/j.atmosres.2021.105972
34. Numerical modelling of the evolution of the boundary layer during a radiation fog event D. Smith et al. 10.1002/wea.3305
35. Aerosol Activation in Radiation Fog at the Atmospheric Radiation Program Southern Great Plains Site C. Wainwright et al. 10.1029/2021JD035358
36. Climate change response in wintertime widespread fog conditions over the Indo-Gangetic Plains D. Hingmire et al. 10.1007/s00382-021-06030-1
37. Surface deposition of marine fog and its treatment in the Weather Research and Forecasting (WRF) model P. Taylor et al. 10.5194/acp-21-14687-2021
38. On the Predictability of Radiation Fog Formation in a Mesoscale Model: A Case Study in Heterogeneous Terrain T. Bergot & R. Lestringant 10.3390/atmos10040165
39. Sensitivity analysis of an aerosol-aware microphysics scheme in Weather Research and Forecasting (WRF) during case studies of fog in Namibia M. Weston et al. 10.5194/acp-22-10221-2022
40. 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
41. Demistify: a large-eddy simulation (LES) and single-column model (SCM) intercomparison of radiation fog I. Boutle et al. 10.5194/acp-22-319-2022
42. Impact of the Microphysics in HARMONIE-AROME on Fog S. Contreras Osorio et al. 10.3390/atmos13122127
43. Modeling Extreme Warm‐Air Advection in the Arctic During Summer: The Effect of Mid‐Latitude Pollution Inflow on Cloud Properties E. Bossioli et al. 10.1029/2020JD033291
44. Analysis of fog at Xianyang Airport based on multi-source ground-based detection data H. Ming et al. 10.1016/j.atmosres.2019.01.012
45. Experimental study on the evolution of droplet size distribution during the fog life cycle M. Mazoyer et al. 10.5194/acp-22-11305-2022
46. The propagation of fog and its related pollutants in the Central and Eastern China in winter Y. Zhu et al. 10.1016/j.atmosres.2021.105914
47. A Single-Column Comparison of Model-Error Representations for Ensemble Prediction F. Bouttier et al. 10.1007/s10546-021-00682-6
48. Simulations of sea fog case impacted by air–sea interaction over South China Sea L. Han et al. 10.3389/fmars.2022.1000051
49. A new conceptual model for adiabatic fog F. Toledo et al. 10.5194/acp-21-13099-2021
50. Radiation fog properties in two consecutive events under polluted and clean conditions in the Yangtze River Delta, China: a simulation study N. Shao et al. 10.5194/acp-23-9873-2023
51. The first Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL1 M. Bush et al. 10.5194/gmd-13-1999-2020
52. Impact of high‐resolution ocean–atmosphere coupling on fog formation over the North Sea J. Fallmann et al. 10.1002/qj.3488
53. Numerical simulations of upslope fog observed at Beppu Bay in Oita Prefecture, Japan Y. Ohashi & M. Suido 10.1002/met.2003
54. Sub‐km scale numerical weather prediction model simulations of radiation fog D. Smith et al. 10.1002/qj.3943
55. C-FOG: Life of Coastal Fog H. Fernando et al. 10.1175/BAMS-D-19-0070.1
56. Forecasts of fog events in northern India dramatically improve when weather prediction models include irrigation effects D. Smith et al. 10.1038/s43247-024-01314-w
57. Decadal shift in sea fog frequency over the northern South China Sea in spring: Interdecadal variation and impact of the Pacific Decadal Oscillation L. Han et al. 10.1016/j.atmosres.2021.105905
58. Precipitation enhancement in stratocumulus clouds through airborne seeding: sensitivity analysis by UCLALES-SALSA J. Tonttila et al. 10.5194/acp-21-1035-2021
59. NUMAC: Description of the Nested Unified Model With Aerosols and Chemistry, and Evaluation With KORUS‐AQ Data H. Gordon et al. 10.1029/2022MS003457
60. Improving and Developing the Fog Stability Index for Predicting Fog at Borg El-Arab Airport, Egypt Using WRF Model T. Sayad et al. 10.1007/s00024-021-02785-0
61. Stable boundary‐layer relative humidity profiles and the conditions for onset of radiation fog over land S. Derbyshire 10.1002/qj.3558
62. Assessment of PM2.5 using satellite lidar observations: Effect of bio-mass burning emissions over India N. Lakshmi et al. 10.1016/j.scitotenv.2022.155215
63. Scavenging of Black Carbon Aerosols by Radiation Fog in Urban Central China X. Zhang et al. 10.3390/atmos13020205
64. Is a more physical representation of aerosol activation needed for simulations of fog? C. Poku et al. 10.5194/acp-21-7271-2021
65. Modeled aerosol-cloud indirect effects and processes based on an observed partially glaciated marine deep convective cloud case I. Kudzotsa et al. 10.1016/j.atmosenv.2019.02.010
66. On the Conditions for Onset and Development of Fog Over New Delhi: An Observational Study from the WiFEX N. Dhangar et al. 10.1007/s00024-021-02800-4
67. Effect of the boundary layer low-level jet on fast fog spatial propagation S. Yan et al. 10.5194/acp-23-13987-2023
68. Fog scavenging of particulate matters in air pollution events: Observation and simulation in the Yangtze River Delta, China J. Qian et al. 10.1016/j.scitotenv.2023.162728
69. The UKC3 regional coupled environmental prediction system H. Lewis et al. 10.5194/gmd-12-2357-2019