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

Viewed

Total article views: 737 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
520 157 60 737 66 80 57
  • HTML: 520
  • PDF: 157
  • XML: 60
  • Total: 737
  • Supplement: 66
  • BibTeX: 80
  • EndNote: 57
Views and downloads (calculated since 27 Apr 2026)
Cumulative views and downloads (calculated since 27 Apr 2026)

Viewed (geographical distribution)

Total article views: 737 (including HTML, PDF, and XML) Thereof 706 with geography defined and 31 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 27 Oct 2026
Download
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.
Share
Altmetrics
Final-revised paper
Preprint