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: 2,538 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,833 642 63 2,538 206 43 51
  • HTML: 1,833
  • PDF: 642
  • XML: 63
  • Total: 2,538
  • Supplement: 206
  • BibTeX: 43
  • EndNote: 51
Views and downloads (calculated since 30 Sep 2021)
Cumulative views and downloads (calculated since 30 Sep 2021)

Viewed (geographical distribution)

Total article views: 2,538 (including HTML, PDF, and XML) Thereof 2,455 with geography defined and 83 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Nov 2024
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.