Articles | Volume 26, issue 16
https://doi.org/10.5194/acp-26-11709-2026
https://doi.org/10.5194/acp-26-11709-2026
Research article
 | 
19 Aug 2026
Research article |  | 19 Aug 2026

Evidence of cloud sensitivity to above-cloud CCN as a function of environmental stability in the Southeast Atlantic based on remote sensing observations

Emily D. Lenhardt, Lan Gao, Siddhant Gupta, Greg M. McFarquhar, Feng Xu, Richard A. Ferrare, Chris A. Hostetler, and Jens Redemann

Viewed

Total article views: 2,508 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,277 931 300 2,508 402 364
  • HTML: 1,277
  • PDF: 931
  • XML: 300
  • Total: 2,508
  • BibTeX: 402
  • EndNote: 364
Views and downloads (calculated since 26 Feb 2026)
Cumulative views and downloads (calculated since 26 Feb 2026)

Viewed (geographical distribution)

Total article views: 2,508 (including HTML, PDF, and XML) Thereof 2,486 with geography defined and 22 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 21 Oct 2026
Download
Short summary
Interactions between clouds and small particles in the atmosphere can cause changes to cloud properties, such as how much of the sun's energy they reflect and whether precipitation is likely to occur. Here we use a new machine learning dataset to investigate these interactions using observations from the Southeast Atlantic. We find that smoke particles above cloud tops have a strong impact on cloud properties in stable environments. This method can also be applied to satellite data.
Share
Altmetrics
Final-revised paper
Preprint