Articles | Volume 18, issue 5
https://doi.org/10.5194/amt-18-1073-2025
https://doi.org/10.5194/amt-18-1073-2025
Research article
 | 
04 Mar 2025
Research article |  | 04 Mar 2025

Design and evaluation of BOOGIE: a collector for the analysis of cloud composition and processes

Mickael Vaitilingom, Christophe Bernard, Mickael Ribeiro, Christophe Verhaege, Christophe Gourbeyre, Christophe Berthod, Angelica Bianco, and Laurent Deguillaume

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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 amt-2024-95', Anonymous Referee #1, 29 Jun 2024
  • RC2: 'Comment on amt-2024-95', Anonymous Referee #2, 13 Jul 2024
  • RC3: 'Comment on amt-2024-95', Anonymous Referee #3, 14 Jul 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Laurent Deguillaume on behalf of the Authors (07 Nov 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (08 Nov 2024) by Pierre Herckes
RR by Anonymous Referee #1 (19 Nov 2024)
RR by Anonymous Referee #2 (21 Nov 2024)
RR by Anonymous Referee #3 (04 Dec 2024)
ED: Publish as is (04 Dec 2024) by Pierre Herckes
AR by Laurent Deguillaume on behalf of the Authors (22 Dec 2024)
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Short summary
The new collector BOOGIE has been designed to sample cloud droplets and evaluated. Computational fluid dynamics simulations are performed to evaluate the sampling efficiency for different droplet sizes. In situ measurements show very good water collection rates and sampling efficiency. BOOGIE is compared to other cloud collectors and the efficiency is comparable, as are the chemical and biological compositions.
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