Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 21, issue 21
Articles | Volume 21, issue 21
https://doi.org/10.5194/acp-21-16387-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-16387-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 21
Research article
 | 
08 Nov 2021
Research article |  | 08 Nov 2021

A predictive thermodynamic framework of cloud droplet activation for chemically unresolved aerosol mixtures, including surface tension, non-ideality, and bulk–surface partitioning

Nønne L. Prisle

Viewed

Total article views: 4,182 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,515 1,579 88 4,182 358 109 139
  • HTML: 2,515
  • PDF: 1,579
  • XML: 88
  • Total: 4,182
  • Supplement: 358
  • BibTeX: 109
  • EndNote: 139
Views and downloads (calculated since 12 Sep 2018)
Cumulative views and downloads (calculated since 12 Sep 2018)

Viewed (geographical distribution)

Total article views: 4,182 (including HTML, PDF, and XML) Thereof 4,130 with geography defined and 52 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 Nov 2025
Download
Short summary
A mass-based Gibbs adsorption model is presented to enable predictive Köhler calculations of droplet growth and activation with considerations of surface partitioning, surface tension, and non-ideal water activity for chemically complex and unresolved surface active aerosol mixtures, including actual atmospheric samples. The model is used to calculate cloud condensation nuclei (CCN) activity of aerosol particles comprising strongly surface-active model atmospheric humic-like substances (HULIS).
Read more
Share
Altmetrics
Final-revised paper
Preprint