Articles | Volume 17, issue 22
Atmos. Chem. Phys., 17, 13509–13520, 2017
https://doi.org/10.5194/acp-17-13509-2017

Special issue: Particle-based methods for simulating atmospheric aerosol...

Atmos. Chem. Phys., 17, 13509–13520, 2017
https://doi.org/10.5194/acp-17-13509-2017

Research article 14 Nov 2017

Research article | 14 Nov 2017

Stochastic coalescence in Lagrangian cloud microphysics

Piotr Dziekan and Hanna Pawlowska

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Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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Cited articles

Alfonso, L.: An algorithm for the numerical solution of the multivariate master equation for stochastic coalescence, Atmos. Chem. Phys., 15, 12315–12326, https://doi.org/10.5194/acp-15-12315-2015, 2015.
Alfonso, L. and Raga, G. B.: The impact of fluctuations and correlations in droplet growth by collision–coalescence revisited – Part 1: Numerical calculation of post-gel droplet size distribution, Atmos. Chem. Phys., 17, 6895–6905, https://doi.org/10.5194/acp-17-6895-2017, 2017.
Andrejczuk, M., Reisner, J., Henson, B., Dubey, M., and Jeffery, C.: The potential impacts of pollution on a nondrizzling stratus deck: Does aerosol number matter more than type?, J. Geophys. Res.-Atmos., 113, D19204, https://doi.org/10.1029/2007JD009445, 2008.
Arabas, S., Jaruga, A., Pawlowska, H., and Grabowski, W. W.: libcloudph+ +  1.0: a single-moment bulk, double-moment bulk, and particle-based warm-rain microphysics library in C+ + , Geosci. Model Dev., 8, 1677–1707, https://doi.org/10.5194/gmd-8-1677-2015, 2015.
Bayewitz, M. H., Yerushalmi, J., Katz, S., and Shinnar, R.: The extent of correlations in a stochastic coalescence process, J. Atmos. Sci., 31, 1604–1614, 1974.
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Raindrops form when small cloud droplets collide with each other. In most computer models of clouds, this process is described using the Smoluchowski equation. We compare the Smoluchowski equation with computer simulations in which each droplet within a small part of the cloud is modeled. We show, depending on the simulation setup, that the Smoluchowski equation can give overly slow or fast rain formation. This implies that many cloud models used do not correctly represent rain formation.
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