Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 23, issue 19
Articles | Volume 23, issue 19
https://doi.org/10.5194/acp-23-10883-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-10883-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 19
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: 2,243 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,788 407 48 2,243 67 40
  • HTML: 1,788
  • PDF: 407
  • XML: 48
  • Total: 2,243
  • BibTeX: 67
  • EndNote: 40
Views and downloads (calculated since 04 Oct 2022)
Cumulative views and downloads (calculated since 04 Oct 2022)

Viewed (geographical distribution)

Total article views: 2,243 (including HTML, PDF, and XML) Thereof 2,226 with geography defined and 17 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Jul 2024
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.
Read more
Altmetrics
Final-revised paper
Preprint