Articles | Volume 22, issue 1
https://doi.org/10.5194/acp-22-319-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-319-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Jan 2022
Research article |
| 10 Jan 2022
| 10 Jan 2022
Demistify: a large-eddy simulation (LES) and single-column model (SCM) intercomparison of radiation fog
Met Office, Exeter, UK
Wayne Angevine
CIRES, University of Colorado, and NOAA Chemical Sciences Laboratory, Boulder, USA
Jian-Wen Bao
NOAA Physical Sciences Laboratory, Boulder, USA
Thierry Bergot
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Ritthik Bhattacharya
Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt, Germany
Andreas Bott
Institute of Geosciences, University of Bonn, Bonn, Germany
Leo Ducongé
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Richard Forbes
European Centre for Medium-Range Weather Forecasts, Reading, UK
Tobias Goecke
Deutscher Wetterdienst, Offenbach, Germany
Evelyn Grell
CIRES, University of Colorado, and NOAA Physical Sciences Laboratory, Boulder, USA
Adrian Hill
Met Office, Exeter, UK
Adele L. Igel
Department of Land, Air and Water Resources, University of California, Davis, USA
Innocent Kudzotsa
Finnish Meteorological Institute, Kuopio, Finland
Christine Lac
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Bjorn Maronga
Institute of Meteorology and Climatology, Leibniz University Hannover, Hannover, Germany
Sami Romakkaniemi
Finnish Meteorological Institute, Kuopio, Finland
Juerg Schmidli
Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt, Germany
Johannes Schwenkel
Institute of Meteorology and Climatology, Leibniz University Hannover, Hannover, Germany
Gert-Jan Steeneveld
Meteorology and Air Quality Section, Wageningen University, Wageningen, Netherlands
Benoît Vié
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Viewed
Total article views: 4,557 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Oct 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,219 | 1,284 | 54 | 4,557 | 85 | 58 |
- HTML: 3,219
- PDF: 1,284
- XML: 54
- Total: 4,557
- BibTeX: 85
- EndNote: 58
Total article views: 3,183 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Jan 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,508 | 638 | 37 | 3,183 | 69 | 50 |
- HTML: 2,508
- PDF: 638
- XML: 37
- Total: 3,183
- BibTeX: 69
- EndNote: 50
Total article views: 1,374 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Oct 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 711 | 646 | 17 | 1,374 | 16 | 8 |
- HTML: 711
- PDF: 646
- XML: 17
- Total: 1,374
- BibTeX: 16
- EndNote: 8
Viewed (geographical distribution)
Total article views: 4,557 (including HTML, PDF, and XML)
Thereof 4,672 with geography defined
and -115 with unknown origin.
Total article views: 3,183 (including HTML, PDF, and XML)
Thereof 3,331 with geography defined
and -148 with unknown origin.
Total article views: 1,374 (including HTML, PDF, and XML)
Thereof 1,341 with geography defined
and 33 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
18 citations as recorded by crossref.
- 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
- 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
- Fog in Sofia 2010–2019: Objective Circulation Classification and Fog Indices N. Penov et al. 10.3390/atmos14050773
- Impact of the Microphysics in HARMONIE-AROME on Fog S. Contreras Osorio et al. 10.3390/atmos13122127
- A city-scale turbulence-resolving model as an essential element of integrated urban services I. Esau et al. 10.1016/j.uclim.2024.102059
- Role of thermodynamic and turbulence processes on the fog life cycle during SOFOG3D experiment C. Dione et al. 10.5194/acp-23-15711-2023
- Machine Learning-Based Fog Nowcasting for Aviation with the Aid of Camera Observations J. Bartok et al. 10.3390/atmos13101684
- The role of collision and coalescence on the microphysics of marine fog C. Rodriguez‐Geno & D. Richter 10.1002/qj.4831
- Observations of Fog‐Aerosol Interactions Over Central Greenland H. Guy et al. 10.1029/2023JD038718
- Machine Learning for Fog-and-Low-Stratus Nowcasting from Meteosat SEVIRI Satellite Images D. Bari et al. 10.3390/atmos14060953
- 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
- Understanding the genesis of a dense fog event over Delhi using observations and high-resolution model experiments P. Yadav et al. 10.1007/s40808-022-01463-x
- Experimental study on the evolution of droplet size distribution during the fog life cycle M. Mazoyer et al. 10.5194/acp-22-11305-2022
- Formation of fog due to stratus lowering: An observational and modelling case study M. Fathalli et al. 10.1002/qj.4304
- Seasonal and Microphysical Characteristics of Fog at a Northern Airport in Alberta, Canada F. Boudala et al. 10.3390/rs14194865
- Stratus over rolling terrain: Large‐eddy simulation reference and sensitivity to grid spacing and numerics J. Weinkaemmerer et al. 10.1002/qj.4372
- 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
- A Single-Column Comparison of Model-Error Representations for Ensemble Prediction F. Bouttier et al. 10.1007/s10546-021-00682-6
17 citations as recorded by crossref.
- 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
- 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
- Fog in Sofia 2010–2019: Objective Circulation Classification and Fog Indices N. Penov et al. 10.3390/atmos14050773
- Impact of the Microphysics in HARMONIE-AROME on Fog S. Contreras Osorio et al. 10.3390/atmos13122127
- A city-scale turbulence-resolving model as an essential element of integrated urban services I. Esau et al. 10.1016/j.uclim.2024.102059
- Role of thermodynamic and turbulence processes on the fog life cycle during SOFOG3D experiment C. Dione et al. 10.5194/acp-23-15711-2023
- Machine Learning-Based Fog Nowcasting for Aviation with the Aid of Camera Observations J. Bartok et al. 10.3390/atmos13101684
- The role of collision and coalescence on the microphysics of marine fog C. Rodriguez‐Geno & D. Richter 10.1002/qj.4831
- Observations of Fog‐Aerosol Interactions Over Central Greenland H. Guy et al. 10.1029/2023JD038718
- Machine Learning for Fog-and-Low-Stratus Nowcasting from Meteosat SEVIRI Satellite Images D. Bari et al. 10.3390/atmos14060953
- 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
- Understanding the genesis of a dense fog event over Delhi using observations and high-resolution model experiments P. Yadav et al. 10.1007/s40808-022-01463-x
- Experimental study on the evolution of droplet size distribution during the fog life cycle M. Mazoyer et al. 10.5194/acp-22-11305-2022
- Formation of fog due to stratus lowering: An observational and modelling case study M. Fathalli et al. 10.1002/qj.4304
- Seasonal and Microphysical Characteristics of Fog at a Northern Airport in Alberta, Canada F. Boudala et al. 10.3390/rs14194865
- Stratus over rolling terrain: Large‐eddy simulation reference and sensitivity to grid spacing and numerics J. Weinkaemmerer et al. 10.1002/qj.4372
- 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
1 citations as recorded by crossref.
Latest update: 23 Nov 2024
Short summary
Fog forecasting is one of the biggest problems for numerical weather prediction. By comparing many models used for fog forecasting with others used for fog research, we hoped to help guide forecast improvements. We show some key processes that, if improved, will help improve fog forecasting, such as how water is deposited on the ground. We also showed that research models were not themselves a suitable baseline for comparison, and we discuss what future observations are required to improve them.
Fog forecasting is one of the biggest problems for numerical weather prediction. By comparing...
Altmetrics
Final-revised paper
Preprint