Articles | Volume 19, issue 20
https://doi.org/10.5194/gmd-19-10185-2026
https://doi.org/10.5194/gmd-19-10185-2026
Model description paper
 | 
27 Oct 2026
Model description paper |  | 27 Oct 2026

Stochastic homogeneous freezing of supercooled droplets in mixed-phase clouds in particle-based idealised microphysics framework (exemplified with PySDM v3.0)

Tim Lüttmer, Sylwester Arabas, and Peter Spichtinger

Data sets

Stochastic homogeneous freezing of supercooled droplets in mixed-phase clouds in particle-based idealised microphysics framework (exemplified with PySDM v3.0) T. Lüttmer https://doi.org/10.5281/zenodo.22080761

Model code and software

Stochastic homogeneous freezing of supercooled droplets in mixed-phase clouds in particle-based idealised microphysics framework (exemplified with PySDM v3.0) T. Lüttmer https://doi.org/10.5281/zenodo.22080761

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Short summary
Homogeneous freezing describes the spontaneous freezing of supercooled droplets, with the probability depending on temperature, droplet size, and elapsed time. Droplets freeze across a range of temperatures rather than all at once, and faster updrafts and larger droplets lead to freezing at warmer temperatures. Once some droplets freeze, the growing ice crystals deplete the surrounding vapour, causing the remaining droplets to evaporate. This affects the number of ice crystals in the cloud.
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