Articles | Volume 19, issue 4
https://doi.org/10.5194/acp-19-2601-2019
https://doi.org/10.5194/acp-19-2601-2019
Research article
 | 
28 Feb 2019
Research article |  | 28 Feb 2019

Aerosol effects on deep convection: the propagation of aerosol perturbations through convective cloud microphysics

Max Heikenfeld, Bethan White, Laurent Labbouz, and Philip Stier

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Cited articles

Allan, D., Caswell, T., Keim, N., and van der Wel, C.: Trackpy: Trackpy v0.3.2, Zenodo, https://doi.org/10.5281/zenodo.60550, 2016. a, b
Altaratz, O., Koren, I., Remer, L. A., and Hirsch, E.: Review: Cloud Invigoration by Aerosols – Coupling between Microphysics and Dynamics, Atmos. Res., 140–141, 38–60, https://doi.org/10.1016/j.atmosres.2014.01.009, 2014. a, b
Andreae, M. O., Rosenfeld, D., Artaxo, P., Costa, A. A., Frank, G. P., Longo, K. M., and Silva-Dias, M. A. F.: Smoking Rain Clouds over the Amazon, Science, 303, 1337–1342, https://doi.org/10.1126/science.1092779, 2004. a
Ban, N., Schmidli, J., and Schär, C.: Evaluation of the Convection-Resolving Regional Climate Modeling Approach in Decade-Long Simulations, J. Geophys. Res.-Atmos., 119, 7889–7907, https://doi.org/10.1002/2014JD021478, 2014. a
Berry, E. X. and Reinhardt, R. L.: An Analysis of Cloud Drop Growth by Collection Part II. Single Initial Distributions, J. Atmos. Sci., 31, 1825–1831, https://doi.org/10.1175/1520-0469(1974)031<1825:AAOCDG>2.0.CO;2, 1974. a
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Short summary
Aerosols can affect the evolution of deep convective clouds by controlling the cloud droplet number concentration. We perform a detailed analysis of the pathways of such aerosol perturbations through the cloud microphysics in numerical model simulations. By focussing on individually tracked convective cells, we can reveal consistent changes to individual process rates, such as a lifting of freezing and riming, but also major differences between the three different microphysics schemes used.
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