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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- Response of the atmospheric hydrological cycle over the tropical Asian monsoon regions to anthropogenic aerosols and its seasonality H. Takahashi et al. 10.1186/s40645-018-0197-2
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- Quantifying cloud adjustments and the radiative forcing due to aerosol–cloud interactions in satellite observations of warm marine clouds A. Douglas & T. L'Ecuyer 10.5194/acp-20-6225-2020
- Aerosol-driven droplet concentrations dominate coverage and water of oceanic low-level clouds D. Rosenfeld et al. 10.1126/science.aav0566
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- Connecting regional aerosol emissions reductions to local and remote precipitation responses D. Westervelt et al. 10.5194/acp-18-12461-2018
- Marine Low Clouds and their Parameterization in Climate Models H. KAWAI & S. SHIGE 10.2151/jmsj.2020-059
- Too Frequent and Too Light Arctic Snowfall With Incorrect Precipitation Phase Partitioning in the MIROC6 GCM Y. Imura & T. Michibata 10.1029/2022MS003046
- Assessing the impact of the Kuroshio Current on vertical cloud structure using CloudSat data A. Yamauchi et al. 10.5194/acp-18-7657-2018
- A development of reduction scenarios of the short-lived climate pollutants (SLCPs) for mitigating global warming and environmental problems T. Nakajima et al. 10.1186/s40645-020-00351-1
- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. 10.1029/2019RG000660
- Prognostic Precipitation in the MIROC6‐SPRINTARS GCM: Description and Evaluation Against Satellite Observations T. Michibata et al. 10.1029/2018MS001596
- 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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- Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. 10.5194/acp-20-15079-2020
- Trends in AOD, Clouds, and Cloud Radiative Effects in Satellite Data and CMIP5 and CMIP6 Model Simulations Over Aerosol Source Regions R. Cherian & J. Quaas 10.1029/2020GL087132
Discussed (final revised paper)
Latest update: 20 Nov 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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