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Large-eddy simulation outputs of radiation fog events during the FAIRARI campaign, Po Valley, Italy, February 2022

Hao Ding, Almuth Neuberger, Rahul Ranjan, Fredrik Mattsson, Lea Haberstock, Darrel Baumgardner, Stefano Decesari, Annica M. L. Ekman, Dagen Hughes, Claudia Mohr, Marco Paglione, Ilona Riipinen, Matteo Rinaldi, Paul Zieger

This dataset contains horizontally averaged, two-dimensional outputs from large-eddy simulations (LES) performed with the MISU – MIT Cloud and Aerosol (MIMICA) model for two radiation fog events during the FAIRARI campaign in the Po Valley, Italy: event 7 (18 – 19 February 2022) and event 15 (23 – 24 February 2022).

This collection is provided to support studies of radiation fog evolution and aerosol – fog interactions, specifically to examine the roles of activated droplets and hydrated particles, as well as the relative influence of aerosol size distribution and chemical composition during the fog.

AtmosphereAerosolsFogFAIRARILESMIMICA

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Name

fairari-2021-2022-les1

Version

1

Citation

Hao Ding, Almuth Neuberger, Rahul Ranjan, Fredrik Mattsson, Lea Haberstock, Darrel Baumgardner, Stefano Decesari, Annica M. L. Ekman, Dagen Hughes, Claudia Mohr, Marco Paglione, Ilona Riipinen, Matteo Rinaldi, Paul Zieger (2025) Large-eddy simulation outputs of radiation fog events during the FAIRARI campaign, Po Valley, Italy, February 2022. Dataset version 1. Bolin Centre Database. https://doi.org/10.17043/fairari-2021-2022-les1-1

References

Neuberger A, Ranjan R, Ding H, Mattsson F, Haberstock L, Baumgardner D, Decesari S, Ekman AML, Hughes DD, Mohr C, Paglione M, Riipinen I, Rinaldi M, Zieger P (2025) Importance of hydrated aerosol particles for aerosol-fog relationships in the Italian Po Valley. EGUsphere [preprint]. https://doi.org/10.5194/egusphere-2025-5419

Neuberger A, Mattsson F, Zieger P (2024) Aerosol particle number size distribution measured during the FAIRARI campaign, Po valley, Italy, February⁠ – ⁠April 2022. Dataset version 1. Bolin Centre Database. https://doi.org/10.17043/fairari-2021-2022-aerosol-dmps1-1

Data description

The data are provided in NetCDF format (9 files, total size 4.6 GB).

Names and meanings of the 2D variables are documented within the files, which include:

  • simulated meteorological fields
    • (e.g., wind, temperature, humidity, pressure)
  • aerosol
    • (e.g., number, mass concentration, hygroscopic growth factor)
  • droplet microphysics
    • (e.g., number concentration, liquid mixing ratio, sedimentation rate)
  • radiation
    • (e.g., shortwave and longwave radiation flux, radiative rate)
  • turbulence variables
    • (e.g., resolved and subgrid turbulence kinetic energy).

The data are provided in two directories.

fairari-2021-2022-LES1-longtail7

Includes the reference simulation for Event 7, as well as sensitivity experiments on large particles (long tail) in the aerosol size distribution.

Files
  • Event7-aerofit_from_r100nm.nc
  • Event7-aerofit_from_r150nm.nc
  • Event7-aerofit_from_r250nm.nc
  • Event7-aerofit_from_r50nm.nc
  • Event7-reference_case.nc

The NetCDF file name label aero_fit_from_r*nm indicates that the observational aerosol size distribution was fitted starting from particle size *nm.

fairari-2021-2022-LES1-aerotests-7-15

Includes sensitivity experiments where the aerosol size distribution and chemical composition were exchanged between Events 7 and 15.

Files
  • m7s7c7.nc
  • m7s7c15.nc
  • m7s15c7.nc
  • m7s15c15.nc

The NetCDF file name label m[*]s[*]c[*] indicates meteorology [event nr.], size distribution [event nr.], and chemistry [event nr.].

Comments

This dataset contains the results of the large-eddy simulations presented in Neuberger et al. (2025).

Observational aerosol data used for model initialisation can be accessed from Neuberger et al. (2024).

Order of data creators

This dataset was first published (2025-12-17) with Hao Ding listed as third author and with Paul Zieger as contact person. This was later (2026-01-19) adjusted so that Hao Ding is both the first author and contact person. The actual data are unchanged.

Project

This project was supported by the European Union’s Horizon 2020 research and innovation programme (Project FORCeS under Grant Agreement 821205), the European Research Council (Consolidator Grant INTEGRATE 865799), the Knut and Alice Wallenberg Foundation (Grant 2021.0169 and 2021.0298), and the Swedish Research Council (2020–04158).

Publisher

Bolin Centre Database

License

Open Data Commons Attribution License (ODC-By) v1.0

First name

Hao

Last name or organisation

Ding

Email address

hao.ding@misu.su.se

Address

Department of Meteorology; Stockholm University

Postal code

SE-106 91

City

Stockholm

Country

Sweden

GCMD science keyword

Earth science services > Models > Weather research/forecast models

GCMD location

Continent > Europe > Southern Europe > Italy

Dataset language

English

DOI

10.17043/fairari-2021-2022-les1-1

Time

2026-01-19T14:17:41.73+00:00

Versions

  • 1 2026-01-19T14:17:41.73+00:00
  • 1 2025-12-17T15:19:20.014+00:00