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

Viewed

Total article views: 5,155 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,892 1,063 200 5,155 261 235
  • HTML: 3,892
  • PDF: 1,063
  • XML: 200
  • Total: 5,155
  • BibTeX: 261
  • EndNote: 235
Views and downloads (calculated since 04 Oct 2022)
Cumulative views and downloads (calculated since 04 Oct 2022)

Viewed (geographical distribution)

Total article views: 5,155 (including HTML, PDF, and XML) Thereof 5,021 with geography defined and 134 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 15 Sep 2026
Download
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.
Share
Altmetrics
Final-revised paper
Preprint