Articles | Volume 17, issue 21
https://doi.org/10.5194/acp-17-13017-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-13017-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Nov 2017
Research article |
| 06 Nov 2017
Large eddy simulation of radiation fog: impact of dynamics on the fog life cycle
Marie Mazoyer
CNRM (CNRS-Meteo-France), UMR3589, Toulouse, France
Christine Lac
CORRESPONDING AUTHOR
CNRM (CNRS-Meteo-France), UMR3589, Toulouse, France
Odile Thouron
CERFACS, Université de Toulouse, CNRS, CECI, Toulouse, France
Thierry Bergot
CNRM (CNRS-Meteo-France), UMR3589, Toulouse, France
Valery Masson
CNRM (CNRS-Meteo-France), UMR3589, Toulouse, France
Luc Musson-Genon
CEREA (Atmospheric Environment Teaching and Research Center, Joint Laboratory
École des Ponts ParisTech-EDF R&D, Université Paris Est), EDF-R&D, Chatou, France
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Cited
37 citations as recorded by crossref.
- Using a coupled large-eddy simulation–aerosol radiation model to investigate urban haze: sensitivity to aerosol loading and meteorological conditions J. Slater et al. 10.5194/acp-20-11893-2020
- Understanding the dissipation of continental fog by analysing the LWP budget using idealized LES and in situ observations E. Wærsted et al. 10.1002/qj.3465
- 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
- Single Column Model Simulations of Icing Conditions in Northern Sweden: Sensitivity to Surface Model Land Use Representation E. Janzon et al. 10.3390/en13164258
- Observations and quantification of fog droplet deposition made during the SOFOG3D campaign J. Price 10.1002/qj.4908
- Is a more physical representation of aerosol activation needed for simulations of fog? C. Poku et al. 10.5194/acp-21-7271-2021
- Overview of the Meso-NH model version 5.4 and its applications C. Lac et al. 10.5194/gmd-11-1929-2018
- 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
- Turbulence Effects on the Formation of Cold Fog Over Complex Terrain With Large‐Eddy Simulation X. Li & Z. Pu 10.1029/2022GL098792
- 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
- Direct Numerical Simulation of the Moist Stably Stratified Surface Layer: Turbulence and Fog Formation M. MacDonald et al. 10.1007/s10546-020-00511-2
- Identifying the key challenges for fog and low stratus forecasting in complex terrain S. Westerhuis et al. 10.1002/qj.3849
- Stratus over rolling terrain: Large‐eddy simulation reference and sensitivity to grid spacing and numerics J. Weinkaemmerer et al. 10.1002/qj.4372
- C-FOG: Life of Coastal Fog H. Fernando et al. 10.1175/BAMS-D-19-0070.1
- Contrasting the evolution of radiation fog over a heterogeneous region in southwest France during the SOFOG3D campaign J. Thornton et al. 10.1002/qj.4558
- PARAFOG v2.0: a near-real-time decision tool to support nowcasting fog formation events at local scales J. Ribaud et al. 10.5194/amt-14-7893-2021
- Importance of CCN activation for fog forecasting and its representation in the two‐moment microphysical scheme LIMA B. Vié et al. 10.1002/qj.4812
- Fog type classification using a modified Richardson number for Christchurch, New Zealand D. Lin et al. 10.1002/joc.7761
- Investigating multiscale meteorological controls and impact of soil moisture heterogeneity on radiation fog in complex terrain using semi-idealised simulations D. Lin et al. 10.5194/acp-23-14451-2023
- Aerosol–fog interaction and the transition to well-mixed radiation fog I. Boutle et al. 10.5194/acp-18-7827-2018
- 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
- Direct Numerical Simulation of Fog: The Sensitivity of a Dissipation Phase to Environmental Conditions M. Karimi 10.3390/atmos11010012
- Evaluation of a forest parameterization to improve boundary layer flow simulations over complex terrain. A case study using WRF-LES V4.0.1 J. Quimbayo-Duarte et al. 10.5194/gmd-15-5195-2022
- A new conceptual model for adiabatic fog F. Toledo et al. 10.5194/acp-21-13099-2021
- Identifying key stages of radiation fog evolution using water vapor isotopes Y. Li et al. 10.1016/j.agrformet.2023.109430
- Influence of Quasi-Periodic Oscillation of Atmospheric Variables on Radiation Fog over A Mountainous Region of Korea I. La et al. 10.3390/atmos11030230
- Enhanced Nighttime Fog and Low Stratus Occurrence Over the Landes Forest, France E. Pauli et al. 10.1029/2021GL097058
- Role of thermodynamic and turbulence processes on the fog life cycle during SOFOG3D experiment C. Dione et al. 10.5194/acp-23-15711-2023
- 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
- Comparison of the performances between the WRF and WRF-LES models in radiation fog – A case study C. Cui et al. 10.1016/j.atmosres.2019.04.003
- The role of collision and coalescence on the microphysics of marine fog C. Rodriguez‐Geno & D. Richter 10.1002/qj.4831
- 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
- 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
- Experimental study on the evolution of droplet size distribution during the fog life cycle M. Mazoyer et al. 10.5194/acp-22-11305-2022
- 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
- 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
- The Use of Thermal Infra-Red Imagery to Elucidate the Dynamics and Processes Occurring in Fog J. Price & K. Stokkereit 10.3390/atmos11030240
37 citations as recorded by crossref.
- Using a coupled large-eddy simulation–aerosol radiation model to investigate urban haze: sensitivity to aerosol loading and meteorological conditions J. Slater et al. 10.5194/acp-20-11893-2020
- Understanding the dissipation of continental fog by analysing the LWP budget using idealized LES and in situ observations E. Wærsted et al. 10.1002/qj.3465
- 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
- Single Column Model Simulations of Icing Conditions in Northern Sweden: Sensitivity to Surface Model Land Use Representation E. Janzon et al. 10.3390/en13164258
- Observations and quantification of fog droplet deposition made during the SOFOG3D campaign J. Price 10.1002/qj.4908
- Is a more physical representation of aerosol activation needed for simulations of fog? C. Poku et al. 10.5194/acp-21-7271-2021
- Overview of the Meso-NH model version 5.4 and its applications C. Lac et al. 10.5194/gmd-11-1929-2018
- 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
- Turbulence Effects on the Formation of Cold Fog Over Complex Terrain With Large‐Eddy Simulation X. Li & Z. Pu 10.1029/2022GL098792
- 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
- Direct Numerical Simulation of the Moist Stably Stratified Surface Layer: Turbulence and Fog Formation M. MacDonald et al. 10.1007/s10546-020-00511-2
- Identifying the key challenges for fog and low stratus forecasting in complex terrain S. Westerhuis et al. 10.1002/qj.3849
- Stratus over rolling terrain: Large‐eddy simulation reference and sensitivity to grid spacing and numerics J. Weinkaemmerer et al. 10.1002/qj.4372
- C-FOG: Life of Coastal Fog H. Fernando et al. 10.1175/BAMS-D-19-0070.1
- Contrasting the evolution of radiation fog over a heterogeneous region in southwest France during the SOFOG3D campaign J. Thornton et al. 10.1002/qj.4558
- PARAFOG v2.0: a near-real-time decision tool to support nowcasting fog formation events at local scales J. Ribaud et al. 10.5194/amt-14-7893-2021
- Importance of CCN activation for fog forecasting and its representation in the two‐moment microphysical scheme LIMA B. Vié et al. 10.1002/qj.4812
- Fog type classification using a modified Richardson number for Christchurch, New Zealand D. Lin et al. 10.1002/joc.7761
- Investigating multiscale meteorological controls and impact of soil moisture heterogeneity on radiation fog in complex terrain using semi-idealised simulations D. Lin et al. 10.5194/acp-23-14451-2023
- Aerosol–fog interaction and the transition to well-mixed radiation fog I. Boutle et al. 10.5194/acp-18-7827-2018
- 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
- Direct Numerical Simulation of Fog: The Sensitivity of a Dissipation Phase to Environmental Conditions M. Karimi 10.3390/atmos11010012
- Evaluation of a forest parameterization to improve boundary layer flow simulations over complex terrain. A case study using WRF-LES V4.0.1 J. Quimbayo-Duarte et al. 10.5194/gmd-15-5195-2022
- A new conceptual model for adiabatic fog F. Toledo et al. 10.5194/acp-21-13099-2021
- Identifying key stages of radiation fog evolution using water vapor isotopes Y. Li et al. 10.1016/j.agrformet.2023.109430
- Influence of Quasi-Periodic Oscillation of Atmospheric Variables on Radiation Fog over A Mountainous Region of Korea I. La et al. 10.3390/atmos11030230
- Enhanced Nighttime Fog and Low Stratus Occurrence Over the Landes Forest, France E. Pauli et al. 10.1029/2021GL097058
- Role of thermodynamic and turbulence processes on the fog life cycle during SOFOG3D experiment C. Dione et al. 10.5194/acp-23-15711-2023
- 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
- Comparison of the performances between the WRF and WRF-LES models in radiation fog – A case study C. Cui et al. 10.1016/j.atmosres.2019.04.003
- The role of collision and coalescence on the microphysics of marine fog C. Rodriguez‐Geno & D. Richter 10.1002/qj.4831
- 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
- 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
- Experimental study on the evolution of droplet size distribution during the fog life cycle M. Mazoyer et al. 10.5194/acp-22-11305-2022
- 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
- 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
- The Use of Thermal Infra-Red Imagery to Elucidate the Dynamics and Processes Occurring in Fog J. Price & K. Stokkereit 10.3390/atmos11030240
Latest update: 14 Dec 2024
Short summary
Large eddy simulations of a radiation fog event occurring during the ParisFog experiment have been studied to analyze the impact of the dynamics on the fog life cycle. They included a sophisticated microphysical scheme, the drag effect of a trees barrier and deposition on vegetation. The blocking effect of the trees induces elevated fog formation and limits cooling and cloud water production. The deposition process was found to exert the most significant impact on the fog prediction.
Large eddy simulations of a radiation fog event occurring during the ParisFog experiment have...
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