Preprints
https://doi.org/10.5194/egusphere-2025-6435
https://doi.org/10.5194/egusphere-2025-6435
19 Jan 2026
 | 19 Jan 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

The Importance of Aerosol and Droplet Microphysics for the Properties and Life Cycle of Radiation Fog in the Po Valley

Hao Ding, Almuth Neuberger, Rahul Ranjan, Fredrik Mattsson, Liine Heikkinen, Karam Mansour, Stefano Decesari, Claudia Mohr, Alejandro Baró Pérez, Nazario Mastroianni, Paul Zieger, Ilona Riipinen, and Annica M. L. Ekman

Abstract. Employing high-resolution Large Eddy Simulation (LES) coupled with interactive aerosol and cloud microphysics schemes, this study investigates the influence of aerosol and droplet microphysics on the life cycle and properties of wintertime radiation fog in the Po Valley, Italy. For the simulated case, the results show that the main drivers of radiation fog onset and dissipation are nocturnal longwave cooling and surface warming, respectively. Increasing aerosol loading increases droplet number concentration, liquid water content, and fog optical thickness, which reduces droplet sedimentation rates and prolongs fog duration by up to 54 minutes. Overall, the microphysical influence of aerosols and droplets weakens under heavily polluted conditions. We also show that non-activated hydrated aerosols have a limited influence on total liquid water content and fog-layer mixing. However, they critically affect visibility and fog duration prediction, underscoring the importance of explicitly incorporating hydrated particles in fog forecasting and accurately representing aerosol composition. Additional sensitivity experiments reveal that the prescribed droplet spectral shape parameters significantly influence fog characteristics. Parameter settings that represent a broad droplet size spectrum overestimate the number of large droplets compared to observations, which increases mean droplet sedimentation rates and decreases mean liquid water content by up to 104 % and 78 %, respectively, compared to the settings that best represent the observed spectrum.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Atmospheric Chemistry and Physics.

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Hao Ding, Almuth Neuberger, Rahul Ranjan, Fredrik Mattsson, Liine Heikkinen, Karam Mansour, Stefano Decesari, Claudia Mohr, Alejandro Baró Pérez, Nazario Mastroianni, Paul Zieger, Ilona Riipinen, and Annica M. L. Ekman

Status: open (until 02 Mar 2026)

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Hao Ding, Almuth Neuberger, Rahul Ranjan, Fredrik Mattsson, Liine Heikkinen, Karam Mansour, Stefano Decesari, Claudia Mohr, Alejandro Baró Pérez, Nazario Mastroianni, Paul Zieger, Ilona Riipinen, and Annica M. L. Ekman

Data sets

The fog and aerosol interaction research Italy (FAIRARI) campaign, November 2021 to May 2022 Almuth Neuberger et al. https://bolin.su.se/data/fairari-2021-2022

Model code and software

MIMICA LES model v5 Julien Savre et al. https://bitbucket.org/matthiasbrakebusch/mimicav5/src/master

Hao Ding, Almuth Neuberger, Rahul Ranjan, Fredrik Mattsson, Liine Heikkinen, Karam Mansour, Stefano Decesari, Claudia Mohr, Alejandro Baró Pérez, Nazario Mastroianni, Paul Zieger, Ilona Riipinen, and Annica M. L. Ekman
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Latest update: 19 Jan 2026
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Short summary
Fog poses numerous risks to society, yet it remains challenging to forecast. We use detailed numerical simulations based on fog observations in the Po Valley, Italy, to demonstrate that high concentrations of aerosol particles, as in polluted air, lead to an increase in droplet number, prolonged fog duration, and reduced visibility. The simulations also show the importance of accurately representing haze particles and the shape of the droplet size distribution for improved fog prediction.
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