Articles | Volume 23, issue 19
https://doi.org/10.5194/acp-23-10883-2023
https://doi.org/10.5194/acp-23-10883-2023
Research article
 | 
05 Oct 2023
Research article |  | 05 Oct 2023

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

Hannah C. Frostenberg, André Welti, Mikael Luhr, Julien Savre, Erik S. Thomson, and Luisa Ickes

Data sets

Model output from "The chance of freezing - a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations'' H. C. Frostenberg, A. Welti, M. Luhr, J. Savre, E. S. Thomson, and L. Ickes https://doi.org/10.5281/zenodo.7572148

Model code and software

Model output from "The chance of freezing - a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations'' H. C. Frostenberg, A. Welti, M. Luhr, J. Savre, E. S. Thomson, and L. Ickes https://doi.org/10.5281/zenodo.7572148

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Short summary
Observations show that ice-nucleating particle concentrations (INPCs) have a large variety and follow lognormal distributions for a given temperature. We introduce a new immersion freezing parameterization that applies this lognormal behavior. INPCs are drawn randomly from a temperature-dependent lognormal distribution. We then show that the ice content of the modeled Arctic stratocumulus cloud is highly sensitive to the probability of drawing large INPCs.
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