Articles | Volume 15, issue 21
https://doi.org/10.5194/acp-15-12397-2015
© Author(s) 2015. 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-15-12397-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Nov 2015
Research article |
| 09 Nov 2015
Putting the clouds back in aerosol–cloud interactions
National Center for Atmospheric Research, 1850 Table Mesa Dr., Boulder, CO 80305, USA
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54 citations as recorded by crossref.
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- The Single Column Atmosphere Model Version 6 (SCAM6): Not a Scam but a Tool for Model Evaluation and Development A. Gettelman et al. 10.1029/2018MS001578
- Strong constraints on aerosol–cloud interactions from volcanic eruptions F. Malavelle et al. 10.1038/nature22974
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- Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 2: Controls on the ice crystal number concentration E. Gryspeerdt et al. 10.5194/acp-18-14351-2018
- Strong aerosol–cloud interaction in altocumulus during updraft periods: lidar observations over central Europe J. Schmidt et al. 10.5194/acp-15-10687-2015
53 citations as recorded by crossref.
- High Climate Sensitivity in the Community Earth System Model Version 2 (CESM2) A. Gettelman et al. 10.1029/2019GL083978
- Simulating Observations of Southern Ocean Clouds and Implications for Climate A. Gettelman et al. 10.1029/2020JD032619
- Climatology, trend of aerosol-cloud parameters and their correlation over the Northern Indian Ocean H. Kumar & S. Tiwari 10.1016/j.gsf.2023.101563
- Aerosol and physical atmosphere model parameters are both important sources of uncertainty in aerosol ERF L. Regayre et al. 10.5194/acp-18-9975-2018
- The Radiative Forcing of Aerosol–Cloud Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty J. Mülmenstädt & G. Feingold 10.1007/s40641-018-0089-y
- The source of discrepancies in aerosol–cloud–precipitation interactions between GCM and A-Train retrievals T. Michibata et al. 10.5194/acp-16-15413-2016
- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. 10.1029/2019RG000660
- Volcanic aerosols lend causality to the indicated substantial susceptibility of clouds to aerosol over global oceans X. Wang et al. 10.1038/s41612-025-00974-5
- 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
- Aerosol effects on deep convection: the propagation of aerosol perturbations through convective cloud microphysics M. Heikenfeld et al. 10.5194/acp-19-2601-2019
- Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes J. Mülmenstädt et al. 10.1126/sciadv.aaz6433
- Variability of aerosol-cloud interactions induced by different cloud droplet nucleation schemes D. Chang et al. 10.1016/j.atmosres.2020.105367
- Snow-induced buffering in aerosol–cloud interactions T. Michibata et al. 10.5194/acp-20-13771-2020
- Origins of a Relatively Tight Lower Bound on Anthropogenic Aerosol Radiative Forcing from Bayesian Analysis of Historical Observations A. Albright et al. 10.1175/JCLI-D-21-0167.1
- Prognostic Precipitation in the MIROC6‐SPRINTARS GCM: Description and Evaluation Against Satellite Observations T. Michibata et al. 10.1029/2018MS001596
- Quantifying the aerosol effect on droplet size distribution at cloud top L. Hernández Pardo et al. 10.5194/acp-19-7839-2019
- A review of aerosol-cloud interactions: Mechanisms, climate effects, and observation methods T. Li et al. 10.1016/j.atmosres.2025.108267
- Addressing Complexity in Global Aerosol Climate Model Cloud Microphysics U. Proske et al. 10.1029/2022MS003571
- Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects J. Dionne et al. 10.5194/acp-20-29-2020
- Idealized Simulations of the Tropical Climate and Variability in the Single Column Atmosphere Model (SCAM): Radiative‐Convective Equilibrium I. Hu et al. 10.1029/2021MS002826
- Anthropogenic Aerosol Influences on Mixed-Phase Clouds U. Lohmann 10.1007/s40641-017-0059-9
- Strong aerosol–cloud interaction in altocumulus during updraft periods: lidar observations over central Europe J. Schmidt et al. 10.5194/acp-15-10687-2015
- Challenges in constraining anthropogenic aerosol effects on cloud radiative forcing using present-day spatiotemporal variability S. Ghan et al. 10.1073/pnas.1514036113
- Impact of host climate model on contrail cirrus effective radiative forcing estimates W. Zhang et al. 10.5194/acp-25-473-2025
- Radiative effects of precipitation on the global energy budget and Arctic amplification T. Michibata 10.1038/s41612-024-00684-4
- Cloud albedo changes in response to anthropogenic sulfate and non-sulfate aerosol forcings in CMIP5 models L. Frey et al. 10.5194/acp-17-9145-2017
- The path to CAM6: coupled simulations with CAM5.4 and CAM5.5 P. Bogenschutz et al. 10.5194/gmd-11-235-2018
- Machine Learning the Warm Rain Process A. Gettelman et al. 10.1029/2020MS002268
- On the representation of aerosol activation and its influence on model-derived estimates of the aerosol indirect effect D. Rothenberg et al. 10.5194/acp-18-7961-2018
- Aerosol indirect effects on the nighttime Arctic Ocean surface from thin, predominantly liquid clouds L. Zamora et al. 10.5194/acp-17-7311-2017
- Preliminary results from the FARCE 2015 campaign: multidisciplinary study of the forest–gas–aerosol–cloud system on the tropical island of La Réunion V. Duflot et al. 10.5194/acp-19-10591-2019
- Pliocene Warmth Consistent With Greenhouse Gas Forcing J. Tierney et al. 10.1029/2019GL083802
- Exploring dimethyl sulfide (DMS) oxidation and implications for global aerosol radiative forcing K. Fung et al. 10.5194/acp-22-1549-2022
- Contrasting changes in cloud optical properties and the influence of aerosols, meteorology and radiation feedback in the Himalaya Karakoram region M. Iftikhar et al. 10.1016/j.atmosres.2020.105210
- A satellite-based estimate of combustion aerosol cloud microphysical effects over the Arctic Ocean L. Zamora et al. 10.5194/acp-18-14949-2018
- Sulfur isotopes quantify the impact of anthropogenic activities on industrial-era Arctic sulfate in a Greenland ice core U. Jongebloed et al. 10.1088/1748-9326/acdc3d
- A Method for Assessing Relative Skill in Retrieving Cloud and Precipitation Properties in Next-Generation Cloud Radar and Radiometer Orbiting Observatories Z. Xu et al. 10.1175/JTECH-D-18-0204.1
- Importance of ice nucleation and precipitation on climate with the Parameterization of Unified Microphysics Across Scales version 1 (PUMASv1) A. Gettelman et al. 10.5194/gmd-16-1735-2023
- Strong impacts on aerosol indirect effects from historical oxidant changes I. Karset et al. 10.5194/acp-18-7669-2018
- Extension of the AIOMFAC model by iodine and carbonate species: applications for aerosol acidity and cloud droplet activation H. Yin et al. 10.5194/acp-22-973-2022
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- Exploring Impacts of Size‐Dependent Evaporation and Entrainment in a Global Model I. Karset et al. 10.1029/2019JD031817
- Nonequilibrium Fractionation During Ice Cloud Formation in iCAM5: Evaluating the Common Parameterization of Supersaturation as a Linear Function of Temperature M. Dütsch et al. 10.1029/2019MS001764
- Reconciling Compensating Errors Between Precipitation Constraints and the Energy Budget in a Climate Model T. Michibata & K. Suzuki 10.1029/2020GL088340
- Regional Climate Simulations With the Community Earth System Model A. Gettelman et al. 10.1002/2017MS001227
- Aerosols in the E3SM Version 1: New Developments and Their Impacts on Radiative Forcing H. Wang et al. 10.1029/2019MS001851
- Industrial-era decline in Arctic methanesulfonic acid is offset by increased biogenic sulfate aerosol U. Jongebloed et al. 10.1073/pnas.2307587120
- Influence of biogenic emissions from boreal forests on aerosol–cloud interactions T. Petäjä et al. 10.1038/s41561-021-00876-0
- Underestimated Passive Volcanic Sulfur Degassing Implies Overestimated Anthropogenic Aerosol Forcing U. Jongebloed et al. 10.1029/2022GL102061
- The Single Column Atmosphere Model Version 6 (SCAM6): Not a Scam but a Tool for Model Evaluation and Development A. Gettelman et al. 10.1029/2018MS001578
- Strong constraints on aerosol–cloud interactions from volcanic eruptions F. Malavelle et al. 10.1038/nature22974
- General circulation models simulate negative liquid water path–droplet number correlations, but anthropogenic aerosols still increase simulated liquid water path J. Mülmenstädt et al. 10.5194/acp-24-7331-2024
- Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 2: Controls on the ice crystal number concentration E. Gryspeerdt et al. 10.5194/acp-18-14351-2018
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Short summary
Aerosols affect cloud properties, and the radiative effects of clouds. Human emissions of aerosol particles and precursors may alter the radiative effects of clouds. This is generally a cooling effect that offsets other warming effects of human emissions of gases. Simulating these aerosol effects on clouds are highly dependent on the formulation of the microphysical (cloud droplet scale) processes. This work uses model simulations to show these effects are large, and depend on certain processes.
Aerosols affect cloud properties, and the radiative effects of clouds. Human emissions of...
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