Articles | Volume 20, issue 22
https://doi.org/10.5194/acp-20-13771-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-13771-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Snow-induced buffering in aerosol–cloud interactions
Takuro Michibata
CORRESPONDING AUTHOR
Research Institute for Applied Mechanics, Kyushu University, Fukuoka 816-8580, Japan
Kentaroh Suzuki
Atmosphere and Ocean Research Institute, the University of Tokyo, Chiba 277-8568, Japan
Toshihiko Takemura
Research Institute for Applied Mechanics, Kyushu University, Fukuoka 816-8580, Japan
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Cited
14 citations as recorded by crossref.
- Subgrid-scale variability of cloud ice in the ICON-AES 1.3.00 S. Doktorowski et al. 10.5194/gmd-17-3099-2024
- Diagnosing aerosol–meteorological interactions on snow within Earth system models: a proof-of-concept study over High Mountain Asia C. Roychoudhury et al. 10.5194/esd-16-1237-2025
- An underestimated negative cloud feedback from cloud lifetime changes J. Mülmenstädt et al. 10.1038/s41558-021-01038-1
- Observational constraint on a feedback from supercooled clouds reduces projected warming uncertainty G. Cesana et al. 10.1038/s43247-024-01339-1
- Radiatively Active Hydrometeor Frequencies From CloudSat–CALIPSO Data for Evaluating Cloud Fraction in Global Climate Models J. Li et al. 10.1029/2023JD038511
- Cloud Microphysics in Global Cloud Resolving Models T. Seiki et al. 10.1080/07055900.2022.2075310
- Radiative effects of precipitation on the global energy budget and Arctic amplification T. Michibata 10.1038/s41612-024-00684-4
- Recent Advances in the Observation and Modeling of Aerosol-Cloud Interactions, Cloud Feedbacks, and Earth’s Energy Imbalance: A Review T. Michibata et al. 10.1007/s40726-025-00382-6
- Snow Reconciles Observed and Simulated Phase Partitioning and Increases Cloud Feedback G. Cesana et al. 10.1029/2021GL094876
- Significant increase in graupel and lightning occurrence in a warmer climate simulated by prognostic graupel parameterization T. Michibata 10.1038/s41598-024-54544-5
- Too Frequent and Too Light Arctic Snowfall With Incorrect Precipitation Phase Partitioning in the MIROC6 GCM Y. Imura & T. Michibata 10.1029/2022MS003046
- A new method for diagnosing effective radiative forcing from aerosol–cloud interactions in climate models B. Duran et al. 10.5194/acp-25-2123-2025
- Impacts of Precipitation Modeling on Cloud Feedback in MIROC6 N. Hirota et al. 10.1029/2021GL096523
- Reconciling Compensating Errors Between Precipitation Constraints and the Energy Budget in a Climate Model T. Michibata & K. Suzuki 10.1029/2020GL088340
12 citations as recorded by crossref.
- Subgrid-scale variability of cloud ice in the ICON-AES 1.3.00 S. Doktorowski et al. 10.5194/gmd-17-3099-2024
- Diagnosing aerosol–meteorological interactions on snow within Earth system models: a proof-of-concept study over High Mountain Asia C. Roychoudhury et al. 10.5194/esd-16-1237-2025
- An underestimated negative cloud feedback from cloud lifetime changes J. Mülmenstädt et al. 10.1038/s41558-021-01038-1
- Observational constraint on a feedback from supercooled clouds reduces projected warming uncertainty G. Cesana et al. 10.1038/s43247-024-01339-1
- Radiatively Active Hydrometeor Frequencies From CloudSat–CALIPSO Data for Evaluating Cloud Fraction in Global Climate Models J. Li et al. 10.1029/2023JD038511
- Cloud Microphysics in Global Cloud Resolving Models T. Seiki et al. 10.1080/07055900.2022.2075310
- Radiative effects of precipitation on the global energy budget and Arctic amplification T. Michibata 10.1038/s41612-024-00684-4
- Recent Advances in the Observation and Modeling of Aerosol-Cloud Interactions, Cloud Feedbacks, and Earth’s Energy Imbalance: A Review T. Michibata et al. 10.1007/s40726-025-00382-6
- Snow Reconciles Observed and Simulated Phase Partitioning and Increases Cloud Feedback G. Cesana et al. 10.1029/2021GL094876
- Significant increase in graupel and lightning occurrence in a warmer climate simulated by prognostic graupel parameterization T. Michibata 10.1038/s41598-024-54544-5
- Too Frequent and Too Light Arctic Snowfall With Incorrect Precipitation Phase Partitioning in the MIROC6 GCM Y. Imura & T. Michibata 10.1029/2022MS003046
- A new method for diagnosing effective radiative forcing from aerosol–cloud interactions in climate models B. Duran et al. 10.5194/acp-25-2123-2025
Latest update: 28 Aug 2025
Short summary
This work reveals that prognostic precipitation significantly reduces the magnitude of aerosol–cloud interactions (ERFaci), mainly due to the collection process associated with snowflakes and underlying cloud droplets. This precipitation-driven buffering effect, which is missing in traditional GCMs, can explain the model–observation discrepancy in ERFaci. These results underscore the necessity for a prognostic precipitation framework in GCMs for more reliable climate simulations.
This work reveals that prognostic precipitation significantly reduces the magnitude of...
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