Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 1
Articles | Volume 16, issue 1
https://doi.org/10.5194/essd-16-443-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-443-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 1
Data description paper
 | 
19 Jan 2024
Data description paper |  | 19 Jan 2024

Cloud condensation nuclei concentrations derived from the CAMS reanalysis

Karoline Block, Mahnoosh Haghighatnasab, Daniel G. Partridge, Philip Stier, and Johannes Quaas

Viewed

Total article views: 2,694 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,027 583 84 2,694 107 78
  • HTML: 2,027
  • PDF: 583
  • XML: 84
  • Total: 2,694
  • BibTeX: 107
  • EndNote: 78
Views and downloads (calculated since 17 Jul 2023)
Cumulative views and downloads (calculated since 17 Jul 2023)

Viewed (geographical distribution)

Total article views: 2,694 (including HTML, PDF, and XML) Thereof 2,653 with geography defined and 41 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Feb 2025
Download
Short summary
Aerosols being able to act as condensation nuclei for cloud droplets (CCNs) are a key element in cloud formation but very difficult to determine. In this study we present a new global vertically resolved CCN dataset for various humidity conditions and aerosols. It is obtained using an atmospheric model (CAMS reanalysis) that is fed by satellite observations of light extinction (AOD). We investigate and evaluate the abundance of CCNs in the atmosphere and their temporal and spatial occurrence.
Read more
Share
Altmetrics
Final-revised paper
Preprint