Articles | Volume 17, issue 1
https://doi.org/10.5194/acp-17-21-2017
© Author(s) 2017. 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-17-21-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Jan 2017
Research article |
| 02 Jan 2017
Why do general circulation models overestimate the aerosol cloud lifetime effect? A case study comparing CAM5 and a CRM
Cheng Zhou
CORRESPONDING AUTHOR
Department of Climate and Space Sciences and Engineering, University of Michigan,
Ann Arbor, Michigan, USA
Joyce E. Penner
Department of Climate and Space Sciences and Engineering, University of Michigan,
Ann Arbor, Michigan, USA
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Cited
23 citations as recorded by crossref.
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- Prognostic Precipitation in the MIROC6‐SPRINTARS GCM: Description and Evaluation Against Satellite Observations T. Michibata et al. 10.1029/2018MS001596
- Unveiling Deviations from IPCC Temperature Projections through Bayesian Downscaling and Assessment of CMIP6 General Circulation Models in a Climate-Vulnerable Region G. Ferreiro-Lera et al. 10.3390/rs16111831
- Improvement of aerosol activation/ice nucleation in a source-oriented WRF-Chem model to study a winter Storm in California H. Lee et al. 10.1016/j.atmosres.2019.104790
- The Fall and Rise of the Global Climate Model J. Mülmenstädt & L. Wilcox 10.1029/2021MS002781
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- Synoptic-scale controls of fog and low-cloud variability in the Namib Desert H. Andersen et al. 10.5194/acp-20-3415-2020
- 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
- Disentangling the influence of local and remote anthropogenic aerosols on South Asian monsoon daily rainfall characteristics D. Singh et al. 10.1007/s00382-018-4512-9
- Exploring Impacts of Size‐Dependent Evaporation and Entrainment in a Global Model I. Karset et al. 10.1029/2019JD031817
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- Aerosol indirect effects on the temperature–precipitation scaling N. Da Silva et al. 10.5194/acp-20-6207-2020
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- Aerosol Indirect Effects in Marine Stratocumulus: The Importance of Explicitly Predicting Cloud Droplet Activation I. Bulatovic et al. 10.1029/2018GL081746
- The role of anthropogenic aerosols in future precipitation extremes over the Asian Monsoon Region A. Zhao et al. 10.1007/s00382-018-4514-7
23 citations as recorded by crossref.
- Strong constraints on aerosol–cloud interactions from volcanic eruptions F. Malavelle et al. 10.1038/nature22974
- Exploring aerosol–cloud interactions in liquid-phase clouds over eastern China and its adjacent ocean using the WRF-Chem–SBM model J. Zhao et al. 10.5194/acp-24-9101-2024
- Aerosol indirect effects on summer precipitation in a regional climate model for the Euro-Mediterranean region N. Da Silva et al. 10.5194/angeo-36-321-2018
- 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
- The Impact of Recent Forcing and Ocean Heat Uptake Data on Estimates of Climate Sensitivity N. Lewis & J. Curry 10.1175/JCLI-D-17-0667.1
- Prognostic Precipitation in the MIROC6‐SPRINTARS GCM: Description and Evaluation Against Satellite Observations T. Michibata et al. 10.1029/2018MS001596
- Unveiling Deviations from IPCC Temperature Projections through Bayesian Downscaling and Assessment of CMIP6 General Circulation Models in a Climate-Vulnerable Region G. Ferreiro-Lera et al. 10.3390/rs16111831
- Improvement of aerosol activation/ice nucleation in a source-oriented WRF-Chem model to study a winter Storm in California H. Lee et al. 10.1016/j.atmosres.2019.104790
- The Fall and Rise of the Global Climate Model J. Mülmenstädt & L. Wilcox 10.1029/2021MS002781
- The fractional energy balance equation for climate projections through 2100 R. Procyk et al. 10.5194/esd-13-81-2022
- Synoptic-scale controls of fog and low-cloud variability in the Namib Desert H. Andersen et al. 10.5194/acp-20-3415-2020
- 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
- Disentangling the influence of local and remote anthropogenic aerosols on South Asian monsoon daily rainfall characteristics D. Singh et al. 10.1007/s00382-018-4512-9
- Exploring Impacts of Size‐Dependent Evaporation and Entrainment in a Global Model I. Karset et al. 10.1029/2019JD031817
- Significant climate impacts of aerosol changes driven by growth in energy use and advances in emission control technology A. Zhao et al. 10.5194/acp-19-14517-2019
- The Future of Climate Modelling: Weather Details, Macroweather Stochastics—Or Both? S. Lovejoy 10.3390/meteorology1040027
- Multifaceted aerosol effects on precipitation P. Stier et al. 10.1038/s41561-024-01482-6
- Surprising similarities in model and observational aerosol radiative forcing estimates E. Gryspeerdt et al. 10.5194/acp-20-613-2020
- Aerosol indirect effects on the temperature–precipitation scaling N. Da Silva et al. 10.5194/acp-20-6207-2020
- Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes J. Mülmenstädt et al. 10.1126/sciadv.aaz6433
- The Radiative Forcing of Aerosol–Cloud Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty J. Mülmenstädt & G. Feingold 10.1007/s40641-018-0089-y
- Aerosol Indirect Effects in Marine Stratocumulus: The Importance of Explicitly Predicting Cloud Droplet Activation I. Bulatovic et al. 10.1029/2018GL081746
- The role of anthropogenic aerosols in future precipitation extremes over the Asian Monsoon Region A. Zhao et al. 10.1007/s00382-018-4514-7
Latest update: 08 Nov 2024
Short summary
Observation-based studies have shown that the aerosol cloud lifetime effect or the increase of cloud liquid water with increased aerosol loading may have been overestimated in climate models. Here, by simulating the same shallow, warm clouds using a global climate model (CAM5) and a cloud resolving model (CRM) which has more complete and detailed cloud physics, we show how a climate model can overestimate the aerosol cloud lifetime effect due to its simplified representation of cloud processes.
Observation-based studies have shown that the aerosol cloud lifetime effect or the increase of...
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