Articles | Volume 24, issue 18
https://doi.org/10.5194/acp-24-10245-2024
https://doi.org/10.5194/acp-24-10245-2024
Research article
 | 
16 Sep 2024
Research article |  | 16 Sep 2024

Glaciation of mixed-phase clouds: insights from bulk model and bin-microphysics large-eddy simulation informed by laboratory experiment

Aaron Wang, Steve Krueger, Sisi Chen, Mikhail Ovchinnikov, Will Cantrell, and Raymond A. Shaw

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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-2024-1140', Anonymous Referee #1, 09 May 2024
  • RC2: 'Comment on egusphere-2024-1140', Anonymous Referee #2, 16 May 2024
  • AC1: 'Comment on egusphere-2024-1140', Aaron Wang, 03 Jul 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Aaron Wang on behalf of the Authors (03 Jul 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (10 Jul 2024) by Greg McFarquhar
AR by Aaron Wang on behalf of the Authors (25 Jul 2024)
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Short summary
We employ two methods to examine a laboratory experiment on clouds with both ice and liquid phases. The first assumes well-mixed properties; the second resolves the spatial distribution of turbulence and cloud particles. Results show that while the trends in mean properties generally align, when turbulence is resolved, liquid droplets are not fully depleted by ice due to incomplete mixing. This underscores the threshold of ice mass fraction in distinguishing mixed-phase clouds from ice clouds.
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