Articles | Volume 18, issue 11
Atmos. Chem. Phys., 18, 7961–7983, 2018
https://doi.org/10.5194/acp-18-7961-2018
Atmos. Chem. Phys., 18, 7961–7983, 2018
https://doi.org/10.5194/acp-18-7961-2018

Research article 06 Jun 2018

Research article | 06 Jun 2018

On the representation of aerosol activation and its influence on model-derived estimates of the aerosol indirect effect

Daniel Rothenberg et al.

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Cited articles

Abdul-Razzak, H. and Ghan, S. J.: A parameterization of aerosol activation 2. Multiple aerosol types, J. Geophys. Res., 105, 6837, https://doi.org/10.1029/1999JD901161, 2000. a, b, c, d, e
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Albani, S., Mahowald, N. M., Perry, A. T., Scanza, R. A., Zender, C. S., Heavens, N. G., Maggi, V., Kok, J. F., and Otto-Bliesner, B. L.: Improved dust representation in the Community Atmosphere Model, J. Adv. Model. Earth Sy., 6, 541–570, https://doi.org/10.1002/2013MS000279, 2014. a, b
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Avramov, A. and Rothenberg, D.: Emissions scripts and datasets for MARC, Zenodo, https://doi.org/10.5281/zenodo.1260283, 2016. a
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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.
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