Articles | Volume 17, issue 5
https://doi.org/10.5194/amt-17-1475-2024
https://doi.org/10.5194/amt-17-1475-2024
Research article
 | 
11 Mar 2024
Research article |  | 11 Mar 2024

Quantifying riming from airborne data during the HALO-(AC)3 campaign

Nina Maherndl, Manuel Moser, Johannes Lucke, Mario Mech, Nils Risse, Imke Schirmacher, and Maximilian Maahn

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Nina Maherndl on behalf of the Authors (11 Dec 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (12 Dec 2023) by Andreas Richter
RR by Anonymous Referee #2 (20 Dec 2023)
RR by Anonymous Referee #1 (15 Jan 2024)
ED: Publish subject to minor revisions (review by editor) (19 Jan 2024) by Andreas Richter
AR by Nina Maherndl on behalf of the Authors (24 Jan 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (24 Jan 2024) by Andreas Richter
AR by Nina Maherndl on behalf of the Authors (25 Jan 2024)
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Short summary
In some clouds, liquid water droplets can freeze onto ice crystals (riming). Riming leads to the formation of snowflakes. We show two ways to quantify riming using aircraft data collected in the Arctic. One aircraft had a cloud radar, while the other aircraft was measuring directly in cloud. The first method compares radar and direct observations. The second looks at snowflake shape. Both methods agree, except when there were gaps in the cloud. This improves our ability to understand riming.