Articles | Volume 15, issue 4
https://doi.org/10.5194/amt-15-1007-2022
https://doi.org/10.5194/amt-15-1007-2022
Research article
 | 
25 Feb 2022
Research article |  | 25 Feb 2022

Cloud condensation nuclei (CCN) activity analysis of low-hygroscopicity aerosols using the aerodynamic aerosol classifier (AAC)

Kanishk Gohil and Akua A. Asa-Awuku

Viewed

Total article views: 4,927 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,391 1,350 186 4,927 482 178 208
  • HTML: 3,391
  • PDF: 1,350
  • XML: 186
  • Total: 4,927
  • Supplement: 482
  • BibTeX: 178
  • EndNote: 208
Views and downloads (calculated since 30 Sep 2021)
Cumulative views and downloads (calculated since 30 Sep 2021)

Viewed (geographical distribution)

Total article views: 4,927 (including HTML, PDF, and XML) Thereof 4,861 with geography defined and 66 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 31 Oct 2026
Download
Short summary
This work develops a methodology and software to study and analyze the cloud-droplet-forming ability of aerosols with an aerodynamic aerosol classifier (AAC). This work quantifies the uncertainties in size-resolved measurements and subsequent uncertainties propagated to cloud droplet parameterizations. Lastly, we present the best practices for AAC cloud droplet measurement.
Share
Altmetrics
Final-revised paper
Preprint