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: 5,521 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Oct 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,905 | 1,539 | 77 | 5,521 | 129 | 114 |
- HTML: 3,905
- PDF: 1,539
- XML: 77
- Total: 5,521
- BibTeX: 129
- EndNote: 114
Total article views: 4,078 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Jan 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,165 | 853 | 60 | 4,078 | 111 | 102 |
- HTML: 3,165
- PDF: 853
- XML: 60
- Total: 4,078
- BibTeX: 111
- EndNote: 102
Total article views: 1,443 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Oct 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 740 | 686 | 17 | 1,443 | 18 | 12 |
- HTML: 740
- PDF: 686
- XML: 17
- Total: 1,443
- BibTeX: 18
- EndNote: 12
Viewed (geographical distribution)
Total article views: 5,521 (including HTML, PDF, and XML)
Thereof 5,521 with geography defined
and 0 with unknown origin.
Total article views: 4,078 (including HTML, PDF, and XML)
Thereof 4,078 with geography defined
and 0 with unknown origin.
Total article views: 1,443 (including HTML, PDF, and XML)
Thereof 1,407 with geography defined
and 36 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
Latest update: 17 Nov 2025
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