Evaluation and improvement of CAMS-derived CCN number concentrations using in-situ measurements

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.

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Publication Details

Journal
Geoscientific model development
Published
2026-11-09
DOI
https://doi.org/10.5194/gmd-19-10571-2026
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation and improvement of CAMS-derived CCN number concentrations using in-situ measurements

Karoline Block, Mira L. Pöhlker, Johannes Quaas, Yannick Emanuel Anders
2 links
Geoscientific model development
Atmospheric aerosols and clouds
article

Evaluation and improvement of CAMS-derived CCN number concentrations using in-situ measurements

Karoline Block, Mira L. Pöhlker, Johannes Quaas, Yannick Emanuel Anders
article en

Abstract

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.

Geoscientific model developmentVol. 19(21)
Leibniz Institute for Tropospheric Research (DE), Leipzig University (DE)
U.S. Department of Energy, European Commission, Bundesministerium für Bildung und Forschung, Office of Science, HORIZON EUROPE Framework Programme, Biological and Environmental Research
Climate action
Atmospheric aerosols and clouds
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Evaluation and improvement of CAMS-derived CCN number concentrations using in-situ measurements — Karoline Block, Mira L. Pöhlker, et al. · Geoscientific model development (2026) | TGRS Research Map | TGRS