51 citations as recorded by crossref.

1. Sensitivity of WRF simulations with the YSU PBL scheme to the lowest model level height for a sea fog event over the Yellow Sea Y. Yang et al. 10.1016/j.atmosres.2018.09.004
2. Numerical simulations of an advection fog event over Shanghai Pudong International Airport with the WRF model C. Lin et al. 10.1007/s13351-017-6187-2
3. Fog and low-level stratus characteristics at the airport of Odesa from surface observations O. Hustenko & I. Khomenko 10.26565/2410-7360-2023-59-08
4. Impact of physical parameterizations and initial conditions on simulated atmospheric transport and CO2 mole fractions in the US Midwest L. Díaz-Isaac et al. 10.5194/acp-18-14813-2018
5. An Assessment of Forecast Skill of an Atmospheric Meso-scale Model in Simulating the Observed Contrasts in Meteorological Fields for Foggy and Non-foggy Days S. Sarkar & P. Goswami 10.1007/s00024-017-1537-7
6. A Case Study of the Mechanisms Modulating the Evolution of Valley Fog C. Hang et al. 10.1007/s00024-016-1370-4
7. Sensitivity of the meteorological model WRF-ARW to planetary boundary layer schemes during fog conditions in a coastal arid region N. Chaouch et al. 10.1016/j.atmosres.2016.12.009
8. Prediction of low-visibility events due to fog using ordinal classification D. Guijo-Rubio et al. 10.1016/j.atmosres.2018.07.017
9. Interactions among drainage flows, gravity waves and turbulence: a BLLAST case study C. Román-Cascón et al. 10.5194/acp-15-9031-2015
10. Influence of aerosols on the life cycle of a radiation fog event. A numerical and observational study S. Stolaki et al. 10.1016/j.atmosres.2014.04.013
11. WRF sensitivity simulations of a dense advection fog event in Istanbul Y. Ezber & O. Sen 10.1007/s00704-022-03966-0
12. Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review S. Salcedo-Sanz et al. 10.1007/s00704-023-04571-5
13. Pannonian Basin Nocturnal Boundary Layer and Fog Formation: Role of Topography J. Cuxart et al. 10.3390/atmos12060712
14. Machine learning regression and classification methods for fog events prediction C. Castillo-Botón et al. 10.1016/j.atmosres.2022.106157
15. Fog events and local atmospheric features simulated by regional climate model for the metropolitan area of São Paulo, Brazil R. da Rocha et al. 10.1016/j.atmosres.2014.06.010
16. A Numerical Simulation of a Fog Event in the Sichuan Basin, China: The Sensitivity to Terrain Elevations L. Gu et al. 10.3390/atmos15121546
17. Radiation and cloud-base lowering fog events: Observational analysis and evaluation of WRF and HARMONIE C. Román-Cascón et al. 10.1016/j.atmosres.2019.06.018
18. The interaction of the downslope winds and fog formation over the Zagreb area M. Telišman Prtenjak et al. 10.1016/j.atmosres.2018.08.001
19. Influence of surface layer schemes on tropical cyclone Hato (2017) intensity X. Ma et al. 10.1016/j.jastp.2023.106110
20. Persistence Analysis and Prediction of Low-Visibility Events at Valladolid Airport, Spain S. Cornejo-Bueno et al. 10.3390/sym12061045
21. Fog probabilistic forecasting using an ensemble prediction system at six airports in Iran for 10 fog events R. Pahlavan et al. 10.1002/met.2033
22. Impacts of moisture transport through and over the Yarlung Tsangpo Grand Canyon on precipitation in the eastern Tibetan Plateau X. Yuan et al. 10.1016/j.atmosres.2022.106533
23. Long-term persistence, invariant time scales and on-off intermittency of fog events S. Salcedo-Sanz et al. 10.1016/j.atmosres.2021.105456
24. A characterisation of sea-breeze events in the eastern Cantabrian coast (Spain) from observational data and WRF simulations J. Arrillaga et al. 10.1016/j.atmosres.2016.06.021
25. Impact of water vapor transfer on a Circum-Bohai-Sea heavy fog: Observation and numerical simulation M. Tian et al. 10.1016/j.atmosres.2019.06.008
26. Estimating fog-top height through near-surface micrometeorological measurements C. Román-Cascón et al. 10.1016/j.atmosres.2015.11.016
27. Impact of Land Use Land Cover (LULC) on the physical processes of a dense fog episode: A case study using WRF model from the National Capital Region, India A. Lal et al. 10.1016/j.atmosenv.2024.121014
28. Atmospheric Boundary-Layer Evening Transitions: A Comparison Between Two Different Experimental Sites M. Sastre et al. 10.1007/s10546-015-0065-1
29. Ensemble-Based Adaptive Observations for Improving Sea Fog Prediction in Coastal Regions around the Bohai Sea: Case Study with Cold-Front Synoptic Pattern H. Hu et al. 10.1007/s00376-024-3360-2
30. The role of the planetary boundary layer parameterization schemes on the meteorological and aerosol pollution simulations: A review W. Jia & X. Zhang 10.1016/j.atmosres.2020.104890
31. Sensitivity analysis of planetary boundary layer parameterization on meteorological simulations in the Yangtze river delta region, China D. Chen et al. 10.1039/D4EA00038B
32. Characteristics of turbulence and dissipation mechanism in a polluted radiation–advection fog life cycle in Tianjin T. Ju et al. 10.1007/s00703-020-00764-z
33. A review on factors influencing fog formation, classification, forecasting, detection and impacts K. Lakra & K. Avishek 10.1007/s12210-022-01060-1
34. Turbulence Effects on the Formation of Cold Fog Over Complex Terrain With Large‐Eddy Simulation X. Li & Z. Pu 10.1029/2022GL098792
35. WRF model sensitivity to choice of PBL and microphysics parameterization for an advection fog event at Barkachha, rural site in the Indo-Gangetic basin, India P. Pithani et al. 10.1007/s00704-018-2530-5
36. Physical Processes Affecting Radiation Fog Based on WRF Simulations and Validation S. Kutty et al. 10.1007/s00024-021-02811-1
37. The Challenge of Forecasting the Onset and Development of Radiation Fog Using Mesoscale Atmospheric Models G. Steeneveld et al. 10.1007/s10546-014-9973-8
38. Evaluation and improvement study of the Planetary Boundary-Layer schemes during a high PM2.5 episode in a core city of BTH region, China J. Yang et al. 10.1016/j.scitotenv.2020.142756
39. Sofia Airport Visibility Estimation with Two Machine-Learning Techniques N. Penov & G. Guerova 10.3390/rs15194799
40. An analogue dynamical model for forecasting fog‐induced visibility: validation over Delhi P. Goswami & S. Sarkar 10.1002/met.1634
41. Machine learning for predicting low-visibility event dynamics: an ensemble approach A. Shankar & B. Sahana 10.1007/s40808-025-02384-1
42. Real-Time Forecast of Dense Fog Events over Delhi: The Performance of the WRF Model during the WiFEX Field Campaign P. Pithani et al. 10.1175/WAF-D-19-0104.1
43. Application of LSTM for short term fog forecasting based on meteorological elements K. Miao et al. 10.1016/j.neucom.2019.12.129
44. Efficient Prediction of Low-Visibility Events at Airports Using Machine-Learning Regression L. Cornejo-Bueno et al. 10.1007/s10546-017-0276-8
45. Impact of the planetary boundary layer on air quality simulations over the Yangtze River Delta region, China L. Shi et al. 10.1016/j.atmosenv.2021.118685
46. Enhanced secondary aerosol formation driven by excess ammonia during fog episodes in Delhi, India P. Acharja et al. 10.1016/j.chemosphere.2021.133155
47. Statistical Analysis and Machine Learning Prediction of Fog-Caused Low-Visibility Events at A-8 Motor-Road in Spain S. Cornejo-Bueno et al. 10.3390/atmos12060679
48. Sulfate Formation Apportionment during Winter Haze Events in North China T. Wang et al. 10.1021/acs.est.2c02533
49. Forecasting radiation fog at climatologically contrasting sites: evaluation of statistical methods and WRF C. Román‐Cascón et al. 10.1002/qj.2708
50. Identifying the key challenges for fog and low stratus forecasting in complex terrain S. Westerhuis et al. 10.1002/qj.3849
51. Predictability of an Advection Fog Event over North China. Part I: Sensitivity to Initial Condition Differences H. Hu et al. 10.1175/MWR-D-13-00004.1