Articles | Volume 16, issue 23
https://doi.org/10.5194/acp-16-15413-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-15413-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Dec 2016
Research article |
| 13 Dec 2016
The source of discrepancies in aerosol–cloud–precipitation interactions between GCM and A-Train retrievals
Takuro Michibata
CORRESPONDING AUTHOR
Department of Earth System Science and Technology, Kyushu University, Fukuoka, Japan
Research Institute for Applied Mechanics, Kyushu University, Fukuoka, Japan
Kentaroh Suzuki
Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan
Yousuke Sato
RIKEN Advanced Institute for Computational Science, Hyogo, Japan
Toshihiko Takemura
Research Institute for Applied Mechanics, Kyushu University, Fukuoka, Japan
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- Too Frequent and Too Light Arctic Snowfall With Incorrect Precipitation Phase Partitioning in the MIROC6 GCM Y. Imura & T. Michibata 10.1029/2022MS003046
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- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. 10.1029/2019RG000660
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- Strengthened Indian Summer Monsoon Precipitation Susceptibility Linked to Dust‐Induced Ice Cloud Modification P. Patel et al. 10.1029/2018GL081634
- A Multimodel Study on Warm Precipitation Biases in Global Models Compared to Satellite Observations X. Jing et al. 10.1002/2017JD027310
- The Key Role of Warm Rain Parameterization in Determining the Aerosol Indirect Effect in a Global Climate Model X. Jing et al. 10.1175/JCLI-D-18-0789.1
- The Impact of Resolving Subkilometer Processes on Aerosol‐Cloud Interactions of Low‐Level Clouds in Global Model Simulations C. Terai et al. 10.1029/2020MS002274
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- Assessing the Aerosols, Clouds and Their Relationship Over the Northern Bay of Bengal Using a Global Climate Model P. Sharma et al. 10.1029/2022EA002706
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Discussed (final revised paper)
Latest update: 18 Apr 2024
Short summary
This study identifies a fundamental flaw of a GCM in aerosol–cloud–precipitation interactions. The model predicts a monotonic increase in the LWP in response to increased aerosols, which is in stark contrast to satellite retrievals that show a regional variation in the sign of the LWP response. The model also fails to represent the observed dependency of the LWP response on macrophysical regimes. The model biases are attributed to the autoconversion process, with a lack of buffering mechanisms.
This study identifies a fundamental flaw of a GCM in aerosol–cloud–precipitation...
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