Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 23, issue 23
Articles | Volume 23, issue 23
https://doi.org/10.5194/acp-23-15149-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-15149-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 23
Research article
 | 
13 Dec 2023
Research article |  | 13 Dec 2023

Comparison of six approaches to predicting droplet activation of surface active aerosol – Part 2: Strong surfactants

Sampo Vepsäläinen, Silvia M. Calderón, and Nønne L. Prisle

Viewed

Total article views: 2,182 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,790 336 56 2,182 170 54 50
  • HTML: 1,790
  • PDF: 336
  • XML: 56
  • Total: 2,182
  • Supplement: 170
  • BibTeX: 54
  • EndNote: 50
Views and downloads (calculated since 02 Jan 2023)
Cumulative views and downloads (calculated since 02 Jan 2023)

Viewed (geographical distribution)

Total article views: 2,182 (including HTML, PDF, and XML) Thereof 2,177 with geography defined and 5 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 May 2025
Download
Short summary
Atmospheric aerosols act as seeds for cloud formation. Many aerosols contain surface active material that accumulates at the surface of growing droplets. This can affect cloud droplet activation, but the broad significance of the effect and the best way to model it are still debated. We compare predictions of six models to surface activity of strongly surface active aerosol and find significant differences between the models, especially with large fractions of surfactant in the dry particles.
Read more
Share
Altmetrics
Final-revised paper
Preprint