Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 20, issue 13
Articles | Volume 20, issue 13
https://doi.org/10.5194/acp-20-7645-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-7645-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 13
Research article
 | 
02 Jul 2020
Research article |  | 02 Jul 2020

On the relationship between cloud water composition and cloud droplet number concentration

Alexander B. MacDonald, Ali Hossein Mardi, Hossein Dadashazar, Mojtaba Azadi Aghdam, Ewan Crosbie, Haflidi H. Jonsson, Richard C. Flagan, John H. Seinfeld, and Armin Sorooshian

Viewed

Total article views: 5,603 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,663 852 88 5,603 330 91 93
  • HTML: 4,663
  • PDF: 852
  • XML: 88
  • Total: 5,603
  • Supplement: 330
  • BibTeX: 91
  • EndNote: 93
Views and downloads (calculated since 19 Mar 2020)
Cumulative views and downloads (calculated since 19 Mar 2020)

Viewed (geographical distribution)

Total article views: 5,603 (including HTML, PDF, and XML) Thereof 5,462 with geography defined and 141 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 15 Oct 2025
Download
Short summary
Understanding how humans affect Earth's climate requires understanding of how particles in the air affect the number concentration of droplets in a cloud (Nd). We use the air-equivalent mass concentration of different chemical species contained in cloud water to predict Nd. In this study we found that the prediction of Nd is (1) best described by total sulfate; (2) improved when considering up to five species; and (3) dependent on factors like turbulence, smoke presence, and in-cloud height.
Read more
Share
Altmetrics
Final-revised paper
Preprint