Articles | Volume 17, issue 19
https://doi.org/10.5194/acp-17-12145-2017
https://doi.org/10.5194/acp-17-12145-2017
Research article
 | 
12 Oct 2017
Research article |  | 12 Oct 2017

Uncertainty from the choice of microphysics scheme in convection-permitting models significantly exceeds aerosol effects

Bethan White, Edward Gryspeerdt, Philip Stier, Hugh Morrison, Gregory Thompson, and Zak Kipling

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Cited articles

Albrecht, B.: Aerosols, cloud microphysics, and fractional cloudiness, Science, 245, 1227–1230, 1989.
Altaratz, O., Koren, I., Remer, L., 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.
Beljaars, A.: The parameterization of surface fluxes in large-scale models under free convection, Q. J. Roy. Meteor. Soc., 121, 225–270, 1994.
Berry, E. and Reinhardt, R.: An analysis of cloud drop growth by collection: Part I. Double distributions, J. Atmos. Sci., 31, 1814–1824, 1974.
Blyth, A., Lowenstein, J., Huang, Y., Cui, Z., Davies, S., and Carslaw, K.: The production of warm rain in shallowmaritime cumulus clouds, Q. J. Roy. Meteor. Soc., 139, 20–31, 2013.
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Short summary
Aerosols influence cloud and precipitation by modifying cloud droplet number concentrations (CDNCs). We simulate three different types of convective cloud using two different cloud microphysics parameterisations. The simulated cloud and precipitation depends much more strongly on the choice of microphysics scheme than on CDNC. The uncertainty differs between types of convection. Our results highlight a large uncertainty in cloud and precipitation responses to aerosol in current models.
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