Preprints
https://doi.org/10.5194/egusphere-2026-32
https://doi.org/10.5194/egusphere-2026-32
23 Feb 2026
 | 23 Feb 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Dependence of CCN Closure Relationship with Organic Fraction from Two Airborne Field Campaigns over Mid-Latitude Land and Ocean

Guangxin Ai, Shuaiqi Tang, Hailong Wang, Fan Mei, and Minghuai Wang

Abstract. This study investigates the relationship between measured and calculated cloud condensation nuclei (CCN) number concentration and its dependence with organic fraction utilizing aircraft observations from the The Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA, 2017–2018) and The Holistic Interactions of Shallow Clouds, Aerosols, and Land Ecosystems (HI-SCALE, 2016) campaigns, which represent midlatitude marine and continental environments, respectively. For the ACE-ENA marine region, aerosol and CCN concentrations were significantly higher in summer than in winter, whereas at continental site for HI-SCALE, aerosol and CCN concentrations showed no pronounced differences between spring and autumn. Using aerosol chemical composition and number size distribution data, CCN concentrations at various supersaturations are calculated based on Köhler theory and then compared with observations from CCN counter. The results show that CCN closure performs well at both sites with a slight overestimation, with mean closure ratio (CR) of 1.13 and 1.18, respectively. Further investigation reveals that CR at lower supersaturation perform better than that at higher supersaturation. The dependence of CR on organic mass fraction (MForg) varies by environment: for marine aerosols, CR decreases with increasing organic fraction at lower supersaturations, whereas continental aerosols exhibit a consistent overestimation, with CR decreasing as organic fraction increases at higher supersaturations. This study provides key insights into CCN characteristics over midlatitude marine and continental environments, emphasizing the necessity of incorporating size-resolved chemical composition and mixing states into future model parameterizations, and contributing to a better understanding of aerosol–cloud interactions.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Atmospheric Chemistry and Physics.

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Guangxin Ai, Shuaiqi Tang, Hailong Wang, Fan Mei, and Minghuai Wang

Status: open (until 06 Apr 2026)

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Guangxin Ai, Shuaiqi Tang, Hailong Wang, Fan Mei, and Minghuai Wang
Guangxin Ai, Shuaiqi Tang, Hailong Wang, Fan Mei, and Minghuai Wang

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Short summary
Tiny aerosol particles help form cloud droplets and can affect rainfall and climate, but their behavior is hard to predict. We used aircraft measurements over the ocean near the Azores and over the central United States to compare clean and polluted air. We found that particle size and chemical makeup together control how easily clouds form, and organic-rich particles often reduce droplet formation. These results can improve how weather and climate models represent clouds.
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