Articles | Volume 10, issue 4
https://doi.org/10.5194/gmd-10-1817-2017
https://doi.org/10.5194/gmd-10-1817-2017
Development and technical paper
 | 
27 Apr 2017
Development and technical paper |  | 27 Apr 2017

An aerosol activation metamodel of v1.2.0 of the pyrcel cloud parcel model: development and offline assessment for use in an aerosol–climate model

Daniel Rothenberg and Chien Wang

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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.
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Adams, B. M., Ebeida, M. S., Eldred, M. S., Jakeman, J. D., Swiler, L. P., Stephens, J. A., Vigil, D. M., Wildey, T. M., Bohnhoff, W. J., Dalbey, K. R., Eddy, J. P., Hu, K. T., Bauman, L. E., and Hough, P. D.: DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.0 User's Manual, Tech. rep., Sandia National Laboratories, Albuquerque, New Mexico, 2014.
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 Sys., 6, 541–570, https://doi.org/10.1002/2013MS000279, 2014.
Barahona, D. and Nenes, A.: Parameterization of cloud droplet formation in large-scale models: Including effects of entrainment, J. Geophys. Res., 112, D16206, https://doi.org/10.1029/2007JD008473, 2007.
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Short summary
Climate models include descriptions of how cloud droplets form from particles in the atmosphere. We have developed an efficient parameterization of this process by building an emulator of a detailed model, which can accurately predict cloud droplet number concentrations and potentially include additional physics and chemistry. We further show that using different parameterizations could influence droplet number estimates in global models and their aerosol indirect effect on climate.