Low Cloud Dispersion Effects by Anthropogenic Aerosols in Polluted Air

Abstract Aerosol–cloud interactions (ACI) are a major source of uncertainty in anthropogenic climate forcing. Anthropogenic aerosols modulate the cloud albedo by impacting the relative dispersion ( ε ) of cloud droplet size distributions (CDSDs), known as the dispersion effect. This effect can be either suppressive or enhancing, introducing considerable uncertainties in polluted continental clouds. Here, we developed in situ measurements in polluted East China and simultaneously measured the CDSDs and aerosol properties. A wide range of ε from 0.20 to 0.78 with a mean value of 0.43 was observed. Machine learning analysis shows that aerosol number concentration and hygroscopicity dominate the changes of ε in polluted continental stratiform clouds under weak vertical velocities (<0.5 m s −1 ) and low liquid water content (∼0.1 g m −3 ) conditions. Overall, the dispersion effect enhances the aerosol indirect effect by ∼11%. These results highlight the importance of aerosol properties in evaluating ACI in polluted environments.

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Publication Details

Journal
Geophysical Research Letters
Published
2026-02-13
DOI
https://doi.org/10.1029/2025gl120887
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
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article

Low Cloud Dispersion Effects by Anthropogenic Aerosols in Polluted Air

Yao Cheng, Shengzhen Zhou, Joseph Ching, Jiefeng Li et al.
Geophysical Research Letters
Atmospheric aerosols and clouds
article

Low Cloud Dispersion Effects by Anthropogenic Aerosols in Polluted Air

Yao Cheng, Shengzhen Zhou, Joseph Ching, Jiefeng Li, Xiaomi Teng, Shupeng Zhu, Dantong Liu, Xiyao Chen, Shoujuan Shu, Min Gao, Chuanfeng Zhao, Liang Xu, Weijun Li, Fan Zhang
article en

Abstract

Abstract Aerosol–cloud interactions (ACI) are a major source of uncertainty in anthropogenic climate forcing. Anthropogenic aerosols modulate the cloud albedo by impacting the relative dispersion ( ε ) of cloud droplet size distributions (CDSDs), known as the dispersion effect. This effect can be either suppressive or enhancing, introducing considerable uncertainties in polluted continental clouds. Here, we developed in situ measurements in polluted East China and simultaneously measured the CDSDs and aerosol properties. A wide range of ε from 0.20 to 0.78 with a mean value of 0.43 was observed. Machine learning analysis shows that aerosol number concentration and hygroscopicity dominate the changes of ε in polluted continental stratiform clouds under weak vertical velocities (<0.5 m s −1 ) and low liquid water content (∼0.1 g m −3 ) conditions. Overall, the dispersion effect enhances the aerosol indirect effect by ∼11%. These results highlight the importance of aerosol properties in evaluating ACI in polluted environments.

Geophysical Research LettersVol. 53(4)
Sun Yat-sen University (CN), Peking University (CN), Education University of Hong Kong (HK), China Jiliang University (CN), Zhejiang University (CN)
Climate action
Openalex Percentile: Top 68%
Atmospheric aerosols and clouds
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