Impact of Turbulence Representation on the Relationship Between Cloud Feedback and Aerosol‐Cloud Interaction in an E3SMv2 Perturbed Parameter Ensemble
Abstract Recent studies reveal an anti‐correlation between global cloud feedback (CF) and effective radiative forcing due to aerosol‐cloud interaction (ERFaci) in Earth system models, but the physical mechanisms underlying it remain uncertain. Here we investigate how different turbulence representat...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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American Geophysical Union (AGU)
2025-06-01
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| Series: | Journal of Advances in Modeling Earth Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024MS004756 |
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| _version_ | 1839655216543170560 |
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| author | Yi Qin Po‐Lun Ma Mark D. Zelinka Stephen A. Klein Tao Zhang Xue Zheng Vincent E. Larson Meng Huang |
| author_facet | Yi Qin Po‐Lun Ma Mark D. Zelinka Stephen A. Klein Tao Zhang Xue Zheng Vincent E. Larson Meng Huang |
| author_sort | Yi Qin |
| collection | DOAJ |
| description | Abstract Recent studies reveal an anti‐correlation between global cloud feedback (CF) and effective radiative forcing due to aerosol‐cloud interaction (ERFaci) in Earth system models, but the physical mechanisms underlying it remain uncertain. Here we investigate how different turbulence representations contribute to this relationship over the global ocean using an ensemble of Energy Exascale Earth System Model version 2 simulations with perturbed turbulence parameters. The anti‐correlation appears only in the tropical ascent regime. In the Northern Hemisphere midlatitude and high latitude regimes, there is no significant correlation, and in the tropical marine low cloud and Southern Ocean regimes, the correlation is positive. These opposite correlations are primarily driven by opposing CF responses to perturbed parameters. We find that the mean‐state turbulent mixing strength affects both CF and ERFaci, enabling strong correlations in certain regimes. This study highlights the complex linkages between CF and ERFaci through turbulent processes across diverse cloud regimes. |
| format | Article |
| id | doaj-art-99e7fe238eb848c7a53e642f9cb3f8dd |
| institution | Matheson Library |
| issn | 1942-2466 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | Journal of Advances in Modeling Earth Systems |
| spelling | doaj-art-99e7fe238eb848c7a53e642f9cb3f8dd2025-06-25T12:59:05ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662025-06-01176n/an/a10.1029/2024MS004756Impact of Turbulence Representation on the Relationship Between Cloud Feedback and Aerosol‐Cloud Interaction in an E3SMv2 Perturbed Parameter EnsembleYi Qin0Po‐Lun Ma1Mark D. Zelinka2Stephen A. Klein3Tao Zhang4Xue Zheng5Vincent E. Larson6Meng Huang7Pacific Northwest National Laboratory Richland WA USAPacific Northwest National Laboratory Richland WA USALawrence Livermore National Laboratory Livermore CA USALawrence Livermore National Laboratory Livermore CA USABrookhaven National Laboratory Upton NY USALawrence Livermore National Laboratory Livermore CA USAPacific Northwest National Laboratory Richland WA USAPacific Northwest National Laboratory Richland WA USAAbstract Recent studies reveal an anti‐correlation between global cloud feedback (CF) and effective radiative forcing due to aerosol‐cloud interaction (ERFaci) in Earth system models, but the physical mechanisms underlying it remain uncertain. Here we investigate how different turbulence representations contribute to this relationship over the global ocean using an ensemble of Energy Exascale Earth System Model version 2 simulations with perturbed turbulence parameters. The anti‐correlation appears only in the tropical ascent regime. In the Northern Hemisphere midlatitude and high latitude regimes, there is no significant correlation, and in the tropical marine low cloud and Southern Ocean regimes, the correlation is positive. These opposite correlations are primarily driven by opposing CF responses to perturbed parameters. We find that the mean‐state turbulent mixing strength affects both CF and ERFaci, enabling strong correlations in certain regimes. This study highlights the complex linkages between CF and ERFaci through turbulent processes across diverse cloud regimes.https://doi.org/10.1029/2024MS004756cloud feedbackaerosol‐cloud interactionclimate change |
| spellingShingle | Yi Qin Po‐Lun Ma Mark D. Zelinka Stephen A. Klein Tao Zhang Xue Zheng Vincent E. Larson Meng Huang Impact of Turbulence Representation on the Relationship Between Cloud Feedback and Aerosol‐Cloud Interaction in an E3SMv2 Perturbed Parameter Ensemble Journal of Advances in Modeling Earth Systems cloud feedback aerosol‐cloud interaction climate change |
| title | Impact of Turbulence Representation on the Relationship Between Cloud Feedback and Aerosol‐Cloud Interaction in an E3SMv2 Perturbed Parameter Ensemble |
| title_full | Impact of Turbulence Representation on the Relationship Between Cloud Feedback and Aerosol‐Cloud Interaction in an E3SMv2 Perturbed Parameter Ensemble |
| title_fullStr | Impact of Turbulence Representation on the Relationship Between Cloud Feedback and Aerosol‐Cloud Interaction in an E3SMv2 Perturbed Parameter Ensemble |
| title_full_unstemmed | Impact of Turbulence Representation on the Relationship Between Cloud Feedback and Aerosol‐Cloud Interaction in an E3SMv2 Perturbed Parameter Ensemble |
| title_short | Impact of Turbulence Representation on the Relationship Between Cloud Feedback and Aerosol‐Cloud Interaction in an E3SMv2 Perturbed Parameter Ensemble |
| title_sort | impact of turbulence representation on the relationship between cloud feedback and aerosol cloud interaction in an e3smv2 perturbed parameter ensemble |
| topic | cloud feedback aerosol‐cloud interaction climate change |
| url | https://doi.org/10.1029/2024MS004756 |
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