Articles | Volume 18, issue 22
https://doi.org/10.5194/acp-18-16419-2018
https://doi.org/10.5194/acp-18-16419-2018
Research article
 | 
20 Nov 2018
Research article |  | 20 Nov 2018

The size-resolved cloud condensation nuclei (CCN) activity and its prediction based on aerosol hygroscopicity and composition in the Pearl Delta River (PRD) region during wintertime 2014

Mingfu Cai, Haobo Tan, Chak K. Chan, Yiming Qin, Hanbing Xu, Fei Li, Misha I. Schurman, Li Liu, and Jun Zhao

Viewed

Total article views: 2,927 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,827 1,050 50 2,927 166 40 67
  • HTML: 1,827
  • PDF: 1,050
  • XML: 50
  • Total: 2,927
  • Supplement: 166
  • BibTeX: 40
  • EndNote: 67
Views and downloads (calculated since 04 Jun 2018)
Cumulative views and downloads (calculated since 04 Jun 2018)

Viewed (geographical distribution)

Total article views: 2,927 (including HTML, PDF, and XML) Thereof 2,900 with geography defined and 27 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Apr 2024
Download
Short summary
Cloud condensation nuclei (CCN) play a critical role in cloud formation which affects solar radiation and climate. We employed advanced instruments to measure aerosol hygroscopicity and chemical composition and used them to predict CCN activity. Our results found that the CCN activity was largely dependent on the hygroscopicity parameter and the surface tension of the particles. Our study highlights the need for evaluating the effects of organics in order to accurately predict CCN activity.
Altmetrics
Final-revised paper
Preprint