Turbulence‐Induced Non‐Monotonic Influence of Aerosols on Cloud Droplet Size Distribution

Abstract Cloud droplet size distribution (DSD) is essential for quantifying the roles of clouds in earth system, including cloud albedo, precipitation formation, and cloud lifetime. The response of cloud droplet spectral relative dispersion ( ε ) to aerosol number concentration ( N a ) as well as the role of turbulence in this response are yet puzzling. This study uses large eddy simulation to examine the ε – N a relationship and derives an expression for ε from a minimal model to elucidate this relationship. Our findings indicate that as N a increases, ε initially decreases because aerosols weaken turbulence‐induced broadening more than condensational narrowing. However, as N a continues to rise, ε increases as aerosols weaken condensational narrowing more significantly than turbulence‐induced broadening. These findings improve the understanding of the aerosol effects on cloud DSD and address the challenge of quantifying aerosol indirect effects considering turbulence, potentially leading to new cloud microphysics parameterizations.

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Publication Details

Journal
Geophysical Research Letters
Published
2025-05-29
DOI
https://doi.org/10.1029/2025gl115540
Citations
2
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
2.21

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article

Turbulence‐Induced Non‐Monotonic Influence of Aerosols on Cloud Droplet Size Distribution

Yiqi Chen, Zhizhi Qin, Jingyi Chen, Lei Zhu et al.
2 citations
Geophysical Research Letters
Atmospheric aerosols and clouds
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article

Turbulence‐Induced Non‐Monotonic Influence of Aerosols on Cloud Droplet Size Distribution

Yiqi Chen, Zhizhi Qin, Jingyi Chen, Lei Zhu, Qian Chen, Chunsong Lu, Jing Yang, Zhuangzhuang Zhou, Jinghua Chen, Pengcheng Lin
article en
2 citations

Abstract

Abstract Cloud droplet size distribution (DSD) is essential for quantifying the roles of clouds in earth system, including cloud albedo, precipitation formation, and cloud lifetime. The response of cloud droplet spectral relative dispersion ( ε ) to aerosol number concentration ( N a ) as well as the role of turbulence in this response are yet puzzling. This study uses large eddy simulation to examine the ε – N a relationship and derives an expression for ε from a minimal model to elucidate this relationship. Our findings indicate that as N a increases, ε initially decreases because aerosols weaken turbulence‐induced broadening more than condensational narrowing. However, as N a continues to rise, ε increases as aerosols weaken condensational narrowing more significantly than turbulence‐induced broadening. These findings improve the understanding of the aerosol effects on cloud DSD and address the challenge of quantifying aerosol indirect effects considering turbulence, potentially leading to new cloud microphysics parameterizations.

Geophysical Research LettersVol. 52(11)
China Meteorological Administration (CN), Nanjing University of Information Science and Technology (CN), Peking University (CN), National Supercomputing Center in Wuxi (CN)
National Natural Science Foundation of China, Nanjing University of Information Science and Technology, Nanjing University, Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology
Openalex Percentile: Top 13%
Atmospheric aerosols and clouds
2.21
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