Articles | Volume 18, issue 11
https://doi.org/10.5194/acp-18-7961-2018
© 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-18-7961-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
On the representation of aerosol activation and its influence on model-derived estimates of the aerosol indirect effect
Center for Global Change Science, Massachusetts Institute of Technology, Cambridge, MA, USA
Alexander Avramov
Department of Environmental Sciences, Emory University, Atlanta, GA, USA
Chien Wang
Center for Global Change Science, Massachusetts Institute of Technology, Cambridge, MA, USA
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Cited
20 citations as recorded by crossref.
- 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
- Forest-fire aerosol–weather feedbacks over western North America using a high-resolution, online coupled air-quality model P. Makar et al. 10.5194/acp-21-10557-2021
- Light Absorption by Cinnamaldehyde Constituents of Biomass Burning Organic Aerosol Modeled Using Time-Dependent Density Functional Theory C. Calvert & E. Schnitzler 10.1021/acsearthspacechem.2c00344
- 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
- Nonlinear response of Asian summer monsoon precipitation to emission reductions in South and East Asia R. Herbert et al. 10.1088/1748-9326/ac3b19
- Cloud Characteristics and Their Effects on Solar Irradiance According to the ICON Model, CLOUDNET and BSRN Observations J. Shuvalova et al. 10.3390/atmos14121769
- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. 10.5194/gmd-13-1635-2020
- Effective radiative forcing in the aerosol–climate model CAM5.3-MARC-ARG B. Grandey et al. 10.5194/acp-18-15783-2018
- Variability in Activation Properties in Relation to Meteorological Phenomena N. Zíková et al. 10.1175/JHM-D-21-0064.1
- Impact of monsoon on below cloud base aerosol hygroscopicity over a rain shadow region of India M. Varghese et al. 10.1016/j.atmosres.2023.106630
- Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 J. Mulcahy et al. 10.1029/2018MS001464
- Isolating Large‐Scale Smoke Impacts on Cloud and Precipitation Processes Over the Amazon With Convection Permitting Resolution R. Herbert et al. 10.1029/2021JD034615
- Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions Y. Liu et al. 10.1007/s00376-022-2077-3
- Ensemble daily simulations for elucidating cloud–aerosol interactions under a large spread of realistic environmental conditions G. Dagan & P. Stier 10.5194/acp-20-6291-2020
- Characterization of Aerosol Hygroscopicity Over the Northeast Pacific Ocean: Impacts on Prediction of CCN and Stratocumulus Cloud Droplet Number Concentrations B. Schulze et al. 10.1029/2020EA001098
- Atmospheric energy budget response to idealized aerosol perturbation in tropical cloud systems G. Dagan et al. 10.5194/acp-20-4523-2020
- Variability of aerosol-cloud interactions induced by different cloud droplet nucleation schemes D. Chang et al. 10.1016/j.atmosres.2020.105367
- Background Conditions Influence the Estimated Cloud Radiative Effects of Anthropogenic Aerosol Emissions From Different Source Regions B. Grandey & C. Wang 10.1029/2018JD029644
- Aerosol effects on deep convection: the propagation of aerosol perturbations through convective cloud microphysics M. Heikenfeld et al. 10.5194/acp-19-2601-2019
- Hygroscopicity of Secondary Brown Carbon Aerosol from Aqueous Photo-Oxidation of Phenolic Precursors K. Betz et al. 10.1021/acsearthspacechem.2c00132
20 citations as recorded by crossref.
- 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
- Forest-fire aerosol–weather feedbacks over western North America using a high-resolution, online coupled air-quality model P. Makar et al. 10.5194/acp-21-10557-2021
- Light Absorption by Cinnamaldehyde Constituents of Biomass Burning Organic Aerosol Modeled Using Time-Dependent Density Functional Theory C. Calvert & E. Schnitzler 10.1021/acsearthspacechem.2c00344
- 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
- Nonlinear response of Asian summer monsoon precipitation to emission reductions in South and East Asia R. Herbert et al. 10.1088/1748-9326/ac3b19
- Cloud Characteristics and Their Effects on Solar Irradiance According to the ICON Model, CLOUDNET and BSRN Observations J. Shuvalova et al. 10.3390/atmos14121769
- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. 10.5194/gmd-13-1635-2020
- Effective radiative forcing in the aerosol–climate model CAM5.3-MARC-ARG B. Grandey et al. 10.5194/acp-18-15783-2018
- Variability in Activation Properties in Relation to Meteorological Phenomena N. Zíková et al. 10.1175/JHM-D-21-0064.1
- Impact of monsoon on below cloud base aerosol hygroscopicity over a rain shadow region of India M. Varghese et al. 10.1016/j.atmosres.2023.106630
- Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 J. Mulcahy et al. 10.1029/2018MS001464
- Isolating Large‐Scale Smoke Impacts on Cloud and Precipitation Processes Over the Amazon With Convection Permitting Resolution R. Herbert et al. 10.1029/2021JD034615
- Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions Y. Liu et al. 10.1007/s00376-022-2077-3
- Ensemble daily simulations for elucidating cloud–aerosol interactions under a large spread of realistic environmental conditions G. Dagan & P. Stier 10.5194/acp-20-6291-2020
- Characterization of Aerosol Hygroscopicity Over the Northeast Pacific Ocean: Impacts on Prediction of CCN and Stratocumulus Cloud Droplet Number Concentrations B. Schulze et al. 10.1029/2020EA001098
- Atmospheric energy budget response to idealized aerosol perturbation in tropical cloud systems G. Dagan et al. 10.5194/acp-20-4523-2020
- Variability of aerosol-cloud interactions induced by different cloud droplet nucleation schemes D. Chang et al. 10.1016/j.atmosres.2020.105367
- Background Conditions Influence the Estimated Cloud Radiative Effects of Anthropogenic Aerosol Emissions From Different Source Regions B. Grandey & C. Wang 10.1029/2018JD029644
- Aerosol effects on deep convection: the propagation of aerosol perturbations through convective cloud microphysics M. Heikenfeld et al. 10.5194/acp-19-2601-2019
- Hygroscopicity of Secondary Brown Carbon Aerosol from Aqueous Photo-Oxidation of Phenolic Precursors K. Betz et al. 10.1021/acsearthspacechem.2c00132
Latest update: 20 Nov 2024
Short summary
Estimates of how much the particles we emit into the atmosphere cool the climate depend on how those particles influence the relative number of cloud droplets. Those estimates are strongly influenced by how many droplets a given climate model predicts under clean conditions, even more so than how much that human emissions increase droplet concentrations. Because of this, observations of particles influencing clouds in clean conditions could help constrain their climate-cooling potential.
Estimates of how much the particles we emit into the atmosphere cool the climate depend on how...
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