Published August 24, 2023 | Version v1
Dataset Open

Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations"

  • 1. Department of Space, Earth and Environment, Chalmers University, Gothenburg, Sweden
  • 2. Finnish Meteorological Institute, Helsinki, Finland
  • 3. former Department of Meteorology, Stockholm University, Stockholm, Sweden
  • 4. Meteorological Institute, Faculty of Physics, Ludwig-Maximilians-Universität, Munich, Germany
  • 5. Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden

Description

Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations", accepted for publication in Atmospheric Chemistry and Physics, 2023, same authors.
The simulations were done using MIMICA version4 (Savre at el., 2014) and the data includes all model output presented in the publication.

Notes

One file per model run, with all relevant variables respectively. F23-repr and STD-repr are the representative runs for these model setups. F23-1,2,… and STD-1,2,… are the other ensemble member runs for the F23 and STD setup. All other runs have the same name as in the publication. Note that variables with their name ending on "_all_t" are spatially averaged profiles for all time steps (it means that the same run also has the time-averaged profile of the same variable).

Files

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Additional details

References

  • Savre, J., Ekman, A.M.L., & Svensson, G. (2014). Technical note: Introduction to MIMICA, a large-eddy simulation solver for cloudy planetary boundary layers. Journal of Advances in Modeling Earth Systems, 6, 630-649. doi:10.1002/2013MS000292