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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63 citations as recorded by crossref.
- East Asian climate response to COVID-19 lockdown measures in China S. Lee et al. 10.1038/s41598-021-96007-1
- Aerosol effects on cloud water amounts were successfully simulated by a global cloud-system resolving model Y. Sato et al. 10.1038/s41467-018-03379-6
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- Modeling and spatial characterization of aerosols at Middle East AERONET stations C. Anoruo et al. 10.1007/s00704-023-04384-6
- Strong constraints on aerosol–cloud interactions from volcanic eruptions F. Malavelle et al. 10.1038/nature22974
- On the contribution of fast and slow responses to precipitation changes caused by aerosol perturbations S. Zhang et al. 10.5194/acp-21-10179-2021
- The Fall and Rise of the Global Climate Model J. Mülmenstädt & L. Wilcox 10.1029/2021MS002781
- Distinct Contributions of Ice Nucleation, Large‐Scale Environment, and Shallow Cumulus Detrainment to Cloud Phase Partitioning With NCAR CAM5 Y. Wang et al. 10.1002/2017JD027213
- Simulation of the responses of rainstorm in the Yangtze River Middle Reaches to changes in anthropogenic aerosol emissions Y. Bai et al. 10.1016/j.atmosenv.2019.117081
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- Volcano and Ship Tracks Indicate Excessive Aerosol‐Induced Cloud Water Increases in a Climate Model V. Toll et al. 10.1002/2017GL075280
- Snow-induced buffering in aerosol–cloud interactions T. Michibata et al. 10.5194/acp-20-13771-2020
- Stability-dependent increases in liquid water with droplet number in the Arctic R. Murray-Watson & E. Gryspeerdt 10.5194/acp-22-5743-2022
- 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
- Aerosol midlatitude cyclone indirect effects in observations and high-resolution simulations D. McCoy et al. 10.5194/acp-18-5821-2018
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- Significant Underestimation in the Optically Based Estimation of the Aerosol First Indirect Effect Induced by the Aerosol Swelling Effect J. Liu & Z. Li 10.1029/2018GL077679
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- Exploring Satellite-Derived Relationships between Cloud Droplet Number Concentration and Liquid Water Path Using a Large-Domain Large-Eddy Simulation S. Dipu et al. 10.16993/tellusb.27
- How do aerosols affect cloudiness? Y. Sato & K. Suzuki 10.1126/science.aaw3720
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- Separating radiative forcing by aerosol–cloud interactions and rapid cloud adjustments in the ECHAM–HAMMOZ aerosol–climate model using the method of partial radiative perturbations J. Mülmenstädt et al. 10.5194/acp-19-15415-2019
- Constraining the aerosol influence on cloud liquid water path E. Gryspeerdt et al. 10.5194/acp-19-5331-2019
- Phytoplankton Impact on Marine Cloud Microphysical Properties Over the Northeast Atlantic Ocean K. Mansour et al. 10.1029/2021JD036355
- Evaluation of liquid cloud albedo susceptibility in E3SM using coupled eastern North Atlantic surface and satellite retrievals A. Varble et al. 10.5194/acp-23-13523-2023
- Weak liquid water path response in ship tracks A. Tippett et al. 10.5194/acp-24-13269-2024
- Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites H. Bai et al. 10.5194/acp-18-1763-2018
- Deconvolution of boundary layer depth and aerosol constraints on cloud water path in subtropical stratocumulus decks A. Possner et al. 10.5194/acp-20-3609-2020
- 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
- Aerosol effects on clouds are concealed by natural cloud heterogeneity and satellite retrieval errors A. Arola et al. 10.1038/s41467-022-34948-5
- The short-term variability of aerosols and their impact on cloud properties and radiative effect over the Indo-Gangetic Plain S. Pandey et al. 10.1016/j.apr.2019.12.017
- Aerosol Load-Cloud Cover Correlation: A Potential Clue for the Investigation of Aerosol Indirect Impact on Climate of Europe and Africa C. Anoruo et al. 10.1007/s41810-022-00160-7
- Investigating the sign of stratocumulus adjustments to aerosols in the ICON global storm-resolving model E. Fons et al. 10.5194/acp-24-8653-2024
- Interpretation of Aerosol Effects on Precipitation Susceptibility in Warm Clouds Inferred from Satellite Measurements and Model Evaluation over Northeast Asia S. Park & C. Kim 10.1175/JAS-D-20-0293.1
- Cloud Top Radiative Cooling Rate Drives Non‐Precipitating Stratiform Cloud Responses to Aerosol Concentration A. Williams & A. Igel 10.1029/2021GL094740
- 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
- Aerosol-cloud-climate cooling overestimated by ship-track data F. Glassmeier et al. 10.1126/science.abd3980
- 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
- Observing short-timescale cloud development to constrain aerosol–cloud interactions E. Gryspeerdt et al. 10.5194/acp-22-11727-2022
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- Analysis of the cloud fraction adjustment to aerosols and its dependence on meteorological controls using explainable machine learning Y. Jia et al. 10.5194/acp-24-13025-2024
- Machine-Learning Based Analysis of Liquid Water Path Adjustments to Aerosol Perturbations in Marine Boundary Layer Clouds Using Satellite Observations L. Zipfel et al. 10.3390/atmos13040586
- 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: 14 Dec 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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