Interconnection of Aerosol‐Cloud Interactions and Cloud Feedback Through Warm Rain Process

Abstract Recent research has revealed a correlation within the Coupled Model Intercomparison Project Phase 6 (CMIP6) simulations: models exhibiting more pronounced warming due to positive cloud feedback simultaneously show enhanced cooling from aerosol‐cloud interactions (ACI). However, the interplay between ACI and cloud feedback is not well understood in these models. Our study addresses this gap by modifying the autoconversion rate in two Earth system models (ESMs), elucidating how ACI could connect with cloud feedback through the warm rain process. We find that higher autoconversion rates, which are associated with stronger ACI, suppress the increase in cloud liquid water path (LWP) and cloud optical depth with warming by enhancing the precipitation efficiency over the extratropical regions, leading to a larger positive cloud feedback. This study offers new insights into the compensatory mechanism between ACI and cloud feedback through the warm rain process and highlights the importance of constraining the autoconversion parameterization in models.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2026-02-28
DOI
https://doi.org/10.1029/2025jd044854
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
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article

Interconnection of Aerosol‐Cloud Interactions and Cloud Feedback Through Warm Rain Process

Youtong Zheng, Xiaohong Liu, Lin Lin, Zheng Lu et al.
Journal of Geophysical Research Atmospheres
Atmospheric aerosols and clouds
article

Interconnection of Aerosol‐Cloud Interactions and Cloud Feedback Through Warm Rain Process

Youtong Zheng, Xiaohong Liu, Lin Lin, Zheng Lu, Xingru Wu, R. Saravanan, Chuan C. Feng, M. D. Zelinka, Y. Shan, Yi Qin, Xi Zhao
article en

Abstract

Abstract Recent research has revealed a correlation within the Coupled Model Intercomparison Project Phase 6 (CMIP6) simulations: models exhibiting more pronounced warming due to positive cloud feedback simultaneously show enhanced cooling from aerosol‐cloud interactions (ACI). However, the interplay between ACI and cloud feedback is not well understood in these models. Our study addresses this gap by modifying the autoconversion rate in two Earth system models (ESMs), elucidating how ACI could connect with cloud feedback through the warm rain process. We find that higher autoconversion rates, which are associated with stronger ACI, suppress the increase in cloud liquid water path (LWP) and cloud optical depth with warming by enhancing the precipitation efficiency over the extratropical regions, leading to a larger positive cloud feedback. This study offers new insights into the compensatory mechanism between ACI and cloud feedback through the warm rain process and highlights the importance of constraining the autoconversion parameterization in models.

Journal of Geophysical Research AtmospheresVol. 131(5)
Argonne National Laboratory (US), Lawrence Livermore National Laboratory (US), Tianjin University of Technology (CN), Pacific Northwest National Laboratory (US), People's Liberation Army 401 Hospital (CN), University of Houston (US), Texas A&M University (US)
Openalex Percentile: Top 43%
Atmospheric aerosols and clouds
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