Articles | Volume 11, issue 8
https://doi.org/10.5194/gmd-11-3261-2018
https://doi.org/10.5194/gmd-11-3261-2018
Model description paper
 | 
13 Aug 2018
Model description paper |  | 13 Aug 2018

A parameterisation for the co-condensation of semi-volatile organics into multiple aerosol particle modes

Matthew Crooks, Paul Connolly, and Gordon McFiggans

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Cited articles

Abdul-Razzak, H. and Ghan, S.: A parameterisation for the activation 2. multiple aerosol types, J. Geophys. Res., 105, 6837–6844, 2000.
Abdul-Razzak, H., Ghan, S., and Rivera-Carpio, C.: A parameterisation for the activation 1. single aerosol type, J. Geophys. Res., 103, 6123–6131, 1998.
Allen, J., Dookeran, N., Smith, K., and Sarofim, A.: Measurement of polycyclic aromatic hydrocarbons associated with size-segregated atmospheric aerosols in Massachusetts, Environ. Sci. Technol., 30, 1023–1031, 1996.
Andreae, M. O. and Crutzen, P. J.: Atmospheric aerosols: biogeochemical sources and role in atmospheric chemistry, Science, 276, 1052–1058, 1997.
Barahona, D., West, R. E. L., Stier, P., Romakkaniemi, S., Kokkola, H., and Nenes, A.: Comprehensively accounting for the effect of giant CCN in cloud activation parameterizations, Atmos. Chem. Phys., 10, 2467–2473, https://doi.org/10.5194/acp-10-2467-2010, 2010.
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Short summary
Clouds form when water condenses onto particles in the atmosphere and the size and chemical composition of these particles can have a large influence over how much water condenses and the subsequent formation of cloud. Additional gases exist in the atmosphere that can condense onto the aerosol particles and change their composition. We present a fast and efficient method of calculating the effect of atmospheric gases on the formation of cloud that can be used in climate and weather models.