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

Data sets

Cloud condensation nuclei (CCN) numbers derived from CAMS reanalysis EAC4 (Version 1) Karoline Block https://doi.org/10.26050/WDCC/QUAERERE_CCNCAMS_v1

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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.
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