Articles | Volume 18, issue 21
https://doi.org/10.5194/acp-18-15783-2018
© Author(s) 2018. 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-18-15783-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Nov 2018
Research article |
| 02 Nov 2018
| 02 Nov 2018
Effective radiative forcing in the aerosol–climate model CAM5.3-MARC-ARG
Benjamin S. Grandey
CORRESPONDING AUTHOR
Center for Environmental Sensing and Modeling, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
Daniel Rothenberg
Center for Global Change Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Alexander Avramov
Center for Global Change Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Department of Environmental Sciences, Emory University, Atlanta, Georgia, USA
Qinjian Jin
Center for Global Change Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Hsiang-He Lee
Center for Environmental Sensing and Modeling, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
Xiaohong Liu
Department of Atmospheric Science, University of Wyoming, Laramie, Wyoming, USA
Zheng Lu
Department of Atmospheric Science, University of Wyoming, Laramie, Wyoming, USA
Samuel Albani
Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, New York, USA
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Gif-sur-Yvette, France
Chien Wang
Center for Global Change Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Center for Environmental Sensing and Modeling, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
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Cited
15 citations as recorded by crossref.
- Snow-induced buffering in aerosol–cloud interactions T. Michibata et al. 10.5194/acp-20-13771-2020
- Exacerbation of Indian Summer Monsoon Breaks by the Indirect Effect of Regional Dust Aerosols S. Surendran et al. 10.1029/2022GL101106
- Effective Radiative Forcings Due To Anthropogenic Emission Changes Under Covid‐19 and Post‐Pandemic Recovery Scenarios X. Yu et al. 10.1029/2021JD036251
- Constraining the relationships between aerosol height, aerosol optical depth and total column trace gas measurements using remote sensing and models S. Wang et al. 10.5194/acp-20-15401-2020
- Impacts on cloud radiative effects induced by coexisting aerosols converted from international shipping and maritime DMS emissions Q. Jin et al. 10.5194/acp-18-16793-2018
- Radiative forcing bias calculation based on COSMO (Core-Shell Mie model Optimization) and AERONET data P. Tiwari et al. 10.1038/s41612-023-00520-1
- Background Conditions Influence the Estimated Cloud Radiative Effects of Anthropogenic Aerosol Emissions From Different Source Regions B. Grandey & C. Wang 10.1029/2018JD029644
- Investigating Monsoon Raindrop Sizes in Relation to Associated Atmospheric Parameters over the Indian Region G. Rakshit et al. 10.1016/j.atmosres.2024.107397
- Microphysical properties of atmospheric soot and organic particles: measurements, modeling, and impacts W. Li et al. 10.1038/s41612-024-00610-8
- Black Carbon Particles Physicochemical Real‐Time Data Set in a Cold City: Trends of Fall‐Winter BC Accumulation and COVID‐19 H. Li & P. Ariya 10.1029/2021JD035265
- Climate effects of China’s efforts to improve its air quality Y. Zheng et al. 10.1088/1748-9326/ab9e21
- Predicting secondary organic aerosol phase state and viscosity and its effect on multiphase chemistry in a regional-scale air quality model R. Schmedding et al. 10.5194/acp-20-8201-2020
- Aerosol Effective Radiative Forcing in the Online Aerosol Coupled CAS-FGOALS-f3-L Climate Model H. Wang et al. 10.3390/atmos11101115
- Application of a combined standard deviation and mean based approach to MOPITT CO column data, and resulting improved representation of biomass burning and urban air pollution sources C. Lin et al. 10.1016/j.rse.2020.111720
- The Equilibrium Climate Response to Sulfur Dioxide and Carbonaceous Aerosol Emissions From East and Southeast Asia B. Grandey et al. 10.1029/2018GL080127
14 citations as recorded by crossref.
- Snow-induced buffering in aerosol–cloud interactions T. Michibata et al. 10.5194/acp-20-13771-2020
- Exacerbation of Indian Summer Monsoon Breaks by the Indirect Effect of Regional Dust Aerosols S. Surendran et al. 10.1029/2022GL101106
- Effective Radiative Forcings Due To Anthropogenic Emission Changes Under Covid‐19 and Post‐Pandemic Recovery Scenarios X. Yu et al. 10.1029/2021JD036251
- Constraining the relationships between aerosol height, aerosol optical depth and total column trace gas measurements using remote sensing and models S. Wang et al. 10.5194/acp-20-15401-2020
- Impacts on cloud radiative effects induced by coexisting aerosols converted from international shipping and maritime DMS emissions Q. Jin et al. 10.5194/acp-18-16793-2018
- Radiative forcing bias calculation based on COSMO (Core-Shell Mie model Optimization) and AERONET data P. Tiwari et al. 10.1038/s41612-023-00520-1
- Background Conditions Influence the Estimated Cloud Radiative Effects of Anthropogenic Aerosol Emissions From Different Source Regions B. Grandey & C. Wang 10.1029/2018JD029644
- Investigating Monsoon Raindrop Sizes in Relation to Associated Atmospheric Parameters over the Indian Region G. Rakshit et al. 10.1016/j.atmosres.2024.107397
- Microphysical properties of atmospheric soot and organic particles: measurements, modeling, and impacts W. Li et al. 10.1038/s41612-024-00610-8
- Black Carbon Particles Physicochemical Real‐Time Data Set in a Cold City: Trends of Fall‐Winter BC Accumulation and COVID‐19 H. Li & P. Ariya 10.1029/2021JD035265
- Climate effects of China’s efforts to improve its air quality Y. Zheng et al. 10.1088/1748-9326/ab9e21
- Predicting secondary organic aerosol phase state and viscosity and its effect on multiphase chemistry in a regional-scale air quality model R. Schmedding et al. 10.5194/acp-20-8201-2020
- Aerosol Effective Radiative Forcing in the Online Aerosol Coupled CAS-FGOALS-f3-L Climate Model H. Wang et al. 10.3390/atmos11101115
- Application of a combined standard deviation and mean based approach to MOPITT CO column data, and resulting improved representation of biomass burning and urban air pollution sources C. Lin et al. 10.1016/j.rse.2020.111720
Latest update: 14 Dec 2024
Short summary
Anthropogenic emissions of aerosol particles likely cool the climate system. We investigate the uncertainty in the strength of the cooling effect by exploring the representation of aerosols in a global climate model. We conclude that the specific representation of aerosols in global climate models has important implications for climate modelling. Important factors include the representation of aerosol mixing state, size distribution, and optical properties.
Anthropogenic emissions of aerosol particles likely cool the climate system. We investigate the...
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