Evaluation and improvement of CAMS-derived CCN number concentrations using in-situ measurements
Year: 2026
Type: article
Abstract: . Cloud condensation nuclei (CCN) are essential components of aerosol-cloud interactions (ACI). Thus, a precise knowledge about their number concentrations (Nccn) is crucial for climate models and ACI studies. This study presents a comprehensive evaluation of the recently published CAMS-derived total Nccn using direct observations from 25 ground-based sites. The analysis specifically focuses on the temporal variability, the applicability of CAMS-derived Nccn across different environments and pollution regimes and in particular, the sensitivity of CCN to supersaturation. For the latter aspect, a bias shift is identified in simulated Nccn that correlates to the ratio of the two dominant CCN species, likely reflecting assumptions in the underlying size distributions and/or emissions fractions. To address this issue, we developed an observation-based parametrization that is applied to CAMS-derived total Nccn without modifying aerosol size distributions or species concentrations. This approach substantially reduces biases leading the way to an improved version of CAMS-derived Nccn.
Source: Geoscientific model development
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $1,725
OpenAlex ID: W7143392932