Articles | Volume 16, issue 1
https://doi.org/10.5194/essd-16-443-2024
https://doi.org/10.5194/essd-16-443-2024
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: 1,414 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,009 347 58 1,414 53 46
  • HTML: 1,009
  • PDF: 347
  • XML: 58
  • Total: 1,414
  • BibTeX: 53
  • EndNote: 46
Views and downloads (calculated since 17 Jul 2023)
Cumulative views and downloads (calculated since 17 Jul 2023)

Viewed (geographical distribution)

Total article views: 1,414 (including HTML, PDF, and XML) Thereof 1,388 with geography defined and 26 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 09 May 2024
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.
Altmetrics
Final-revised paper
Preprint