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

Rothenberg, Daniel; Avramov, Alexander; Wang, Chien

doi:https://doi.org/10.5194/acp-18-7961-2018

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.

https://doi.org/10.5194/acp-18-7961-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 11

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, Alexander Avramov, and Chien Wang

Supplement

https://doi.org/10.5194/acp-18-7961-2018-supplement

Data sets

Emissions scripts and datasets for MARC A. Avramov and D. Rothenberg, https://doi.org/10.5281/zenodo.1260283

Model code and software

MARC – Model for Research of Aerosols and Climate A. Avramov, D. Rothenberg, S. Garimella, and C. Wang https://doi.org/10.5281/zenodo.168192

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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.