Articles | Volume 26, issue 17
https://doi.org/10.5194/acp-26-12837-2026
© Author(s) 2026. 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-26-12837-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Sep 2026
Research article |
| 11 Sep 2026
| 11 Sep 2026
Evaluation of the vertical microphysical properties of fog as simulated by Meso-NH during the SOFOG3D experiment
Météo-France, CNRS, Univ. Toulouse, CNRM, Toulouse, France
Christine Lac
Météo-France, CNRS, Univ. Toulouse, CNRM, Toulouse, France
Frédéric Burnet
Météo-France, CNRS, Univ. Toulouse, CNRM, Toulouse, France
Benoît Vié
Météo-France, CNRS, Univ. Toulouse, CNRM, Toulouse, France
Marie Taufour
Météo-France, CNRS, Univ. Toulouse, CNRM, Toulouse, France
Théophane Costabloz
Météo-France, CNRS, Univ. Toulouse, CNRM, Toulouse, France
Salomé Antoine
Météo-France, CNRS, Univ. Toulouse, CNRM, Toulouse, France
Maroua Fathalli
Météo-France, CNRS, Univ. Toulouse, CNRM, Toulouse, France
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Heavy precipitation (HP) constitutes a major meteorological threat in the western Mediterranean. Every year, recurrent events affect the area with fatal consequences. Despite this being a well-known issue, open questions still remain. The understanding of the underlying mechanisms and the modeling representation of the events must be improved. In this article we present the most recent lessons learned from the Hydrological Cycle in the Mediterranean Experiment (HyMeX).
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Short summary
Fog modelling remains a significant challenge due to the complex, interrelated physical processes involved, including microphysics. We evaluated the ability of an advanced microphysical scheme to reproduce the fog life cycle by comparing it with new vertical microphysical observations obtained using a tethered balloon during an extensive field campaign. Although realistic modelling performance was achieved, some biases remain that require further microphysics observations.
Fog modelling remains a significant challenge due to the complex, interrelated physical...
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