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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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Piotr Dziekan on behalf of the Authors (14 Jul 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (29 Aug 2017) by Ilona Riipinen
RR by Anonymous Referee #2 (08 Sep 2017)
RR by Anonymous Referee #1 (10 Sep 2017)
ED: Reconsider after minor revisions (Editor review) (10 Sep 2017) by Ilona Riipinen
AR by Piotr Dziekan on behalf of the Authors (20 Sep 2017)  Author's response    Manuscript
ED: Publish as is (05 Oct 2017) by Ilona Riipinen
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Short summary
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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