Research article 04 Jun 2018
Research article | 04 Jun 2018
Aerosol–fog interaction and the transition to well-mixed radiation fog
Ian Boutle et al.
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Cited
30 citations as recorded by crossref.
- 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
- 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
- Long‐Term Fog Variation and Its Impact Factors Over Polluted Regions of East China S. Yan et al. 10.1029/2018JD029389
- 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
- How important are aerosol–fog interactions for the successful modelling of nocturnal radiation fog? C. Poku et al. 10.1002/wea.3503
- Direct Numerical Simulation of Fog: The Sensitivity of a Dissipation Phase to Environmental Conditions M. Karimi 10.3390/atmos11010012
- The first Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL1 M. Bush et al. 10.5194/gmd-13-1999-2020
- Impact of high‐resolution ocean–atmosphere coupling on fog formation over the North Sea J. Fallmann et al. 10.1002/qj.3488
- Transition Periods in the Diurnally-Varying Atmospheric Boundary Layer Over Land W. Angevine et al. 10.1007/s10546-020-00515-y
- Identifying the key challenges for fog and low stratus forecasting in complex terrain S. Westerhuis et al. 10.1002/qj.3849
- A Lagrangian Cloud Model for the Study of Marine Fog D. Richter et al. 10.1007/s10546-020-00595-w
- The evolution of cloud and aerosol microphysics at the summit of Mt. Tai, China J. Li et al. 10.5194/acp-20-13735-2020
- 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
- Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 J. Mulcahy et al. 10.1029/2018MS001464
- Sub‐km scale numerical weather prediction model simulations of radiation fog D. Smith et al. 10.1002/qj.3943
- 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
- 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
- Visibility Data Assimilation and Prediction Using an Observation Network in South Korea M. Kim et al. 10.1007/s00024-019-02288-z
- 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
- On the Formation and Development of Radiation Fog: An Observational Study J. Price 10.1007/s10546-019-00444-5
- 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
- Precipitation enhancement in stratocumulus clouds through airborne seeding: sensitivity analysis by UCLALES-SALSA J. Tonttila et al. 10.5194/acp-21-1035-2021
- Stable boundary‐layer relative humidity profiles and the conditions for onset of radiation fog over land S. Derbyshire 10.1002/qj.3558
- 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
- Experimental study of the aerosol impact on fog microphysics M. Mazoyer et al. 10.5194/acp-19-4323-2019
- Numerical modelling of the evolution of the boundary layer during a radiation fog event D. Smith et al. 10.1002/wea.3305
- 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
- On the Predictability of Radiation Fog Formation in a Mesoscale Model: A Case Study in Heterogeneous Terrain T. Bergot & R. Lestringant 10.3390/atmos10040165
- 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
- The UKC3 regional coupled environmental prediction system H. Lewis et al. 10.5194/gmd-12-2357-2019
30 citations as recorded by crossref.
- 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
- 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
- Long‐Term Fog Variation and Its Impact Factors Over Polluted Regions of East China S. Yan et al. 10.1029/2018JD029389
- 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
- How important are aerosol–fog interactions for the successful modelling of nocturnal radiation fog? C. Poku et al. 10.1002/wea.3503
- Direct Numerical Simulation of Fog: The Sensitivity of a Dissipation Phase to Environmental Conditions M. Karimi 10.3390/atmos11010012
- The first Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL1 M. Bush et al. 10.5194/gmd-13-1999-2020
- Impact of high‐resolution ocean–atmosphere coupling on fog formation over the North Sea J. Fallmann et al. 10.1002/qj.3488
- Transition Periods in the Diurnally-Varying Atmospheric Boundary Layer Over Land W. Angevine et al. 10.1007/s10546-020-00515-y
- Identifying the key challenges for fog and low stratus forecasting in complex terrain S. Westerhuis et al. 10.1002/qj.3849
- A Lagrangian Cloud Model for the Study of Marine Fog D. Richter et al. 10.1007/s10546-020-00595-w
- The evolution of cloud and aerosol microphysics at the summit of Mt. Tai, China J. Li et al. 10.5194/acp-20-13735-2020
- 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
- Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 J. Mulcahy et al. 10.1029/2018MS001464
- Sub‐km scale numerical weather prediction model simulations of radiation fog D. Smith et al. 10.1002/qj.3943
- 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
- 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
- Visibility Data Assimilation and Prediction Using an Observation Network in South Korea M. Kim et al. 10.1007/s00024-019-02288-z
- 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
- On the Formation and Development of Radiation Fog: An Observational Study J. Price 10.1007/s10546-019-00444-5
- 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
- Precipitation enhancement in stratocumulus clouds through airborne seeding: sensitivity analysis by UCLALES-SALSA J. Tonttila et al. 10.5194/acp-21-1035-2021
- Stable boundary‐layer relative humidity profiles and the conditions for onset of radiation fog over land S. Derbyshire 10.1002/qj.3558
- 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
- Experimental study of the aerosol impact on fog microphysics M. Mazoyer et al. 10.5194/acp-19-4323-2019
- Numerical modelling of the evolution of the boundary layer during a radiation fog event D. Smith et al. 10.1002/wea.3305
- 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
- On the Predictability of Radiation Fog Formation in a Mesoscale Model: A Case Study in Heterogeneous Terrain T. Bergot & R. Lestringant 10.3390/atmos10040165
- 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
- The UKC3 regional coupled environmental prediction system H. Lewis et al. 10.5194/gmd-12-2357-2019
Latest update: 27 Feb 2021
Short summary
Aerosol processes are a key mechanism in the development of fog. Poor representation of aerosol–fog interaction can result in large biases in fog forecasts, such as surface temperatures which are too high and fog which is too deep and long lived. A relatively simple representation of aerosol–fog interaction can actually lead to significant improvements in forecasting. Aerosol–fog interaction can have a large effect on the climate system but is poorly represented in climate models.
Aerosol processes are a key mechanism in the development of fog. Poor representation of...
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