Articles | Volume 23, issue 9
https://doi.org/10.5194/acp-23-5217-2023
https://doi.org/10.5194/acp-23-5217-2023
Research article
 | 
09 May 2023
Research article |  | 09 May 2023

Mixed-phase direct numerical simulation: ice growth in cloud-top generating cells

Sisi Chen, Lulin Xue, Sarah Tessendorf, Kyoko Ikeda, Courtney Weeks, Roy Rasmussen, Melvin Kunkel, Derek Blestrud, Shaun Parkinson, Melinda Meadows, and Nick Dawson

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-1142', Anonymous Referee #1, 25 Nov 2022
  • RC2: 'Comment on egusphere-2022-1142', Anonymous Referee #2, 13 Dec 2022
  • AC1: 'Comment on egusphere-2022-1142', Sisi Chen, 23 Mar 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Sisi Chen on behalf of the Authors (23 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (23 Mar 2023) by Thijs Heus
RR by Anonymous Referee #2 (03 Apr 2023)
RR by Anonymous Referee #1 (12 Apr 2023)
ED: Publish subject to technical corrections (12 Apr 2023) by Thijs Heus
AR by Sisi Chen on behalf of the Authors (13 Apr 2023)  Manuscript 
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Short summary
The possible mechanism of effective ice growth in the cloud-top generating cells in winter orographic clouds is explored using a newly developed ultra-high-resolution cloud microphysics model. Simulations demonstrate that a high availability of moisture and liquid water is critical for producing large ice particles. Fluctuations in temperature and moisture down to millimeter scales due to cloud turbulence can substantially affect the growth history of the individual cloud particles.
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