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

• Main Authors: Frostenberg, Hannah C., Welti, André, Luhr, Mikael, Savre, Julien, Thomson, Erik S., Ickes, Luisa
• Format: Dataset
• Language: unknown
• Published: 2023
• Subjects: ice nucleation; parameterization; mixed-phase cloud; large eddy simulation; Arctic
• Online Access: https://zenodo.org/record/7572148; https://doi.org/10.5281/zenodo.7572148

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. 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).