Articles | Volume 17, issue 6
https://doi.org/10.5194/amt-17-1679-2024
https://doi.org/10.5194/amt-17-1679-2024
Research article
 | 
25 Mar 2024
Research article |  | 25 Mar 2024

CALOTRITON: a convective boundary layer height estimation algorithm from ultra-high-frequency (UHF) wind profiler data

Alban Philibert, Marie Lothon, Julien Amestoy, Pierre-Yves Meslin, Solène Derrien, Yannick Bezombes, Bernard Campistron, Fabienne Lohou, Antoine Vial, Guylaine Canut-Rocafort, Joachim Reuder, and Jennifer K. Brooke

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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-2023-95', Anonymous Referee #2, 21 Jun 2023
  • RC2: 'Comment on amt-2023-95', Anonymous Referee #1, 07 Jul 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Alban Philibert on behalf of the Authors (11 Aug 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (28 Aug 2023) by Laura Bianco
RR by Anonymous Referee #1 (20 Sep 2023)
RR by Anonymous Referee #2 (03 Oct 2023)
ED: Reconsider after major revisions (22 Nov 2023) by Laura Bianco
AR by Alban Philibert on behalf of the Authors (24 Dec 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (22 Jan 2024) by Laura Bianco
AR by Alban Philibert on behalf of the Authors (30 Jan 2024)
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Short summary
We present a new algorithm, CALOTRITON, for the retrieval of the convective boundary layer depth with ultra-high-frequency radar measurements. CALOTRITON is partly based on the principle that the top of the convective boundary layer is associated with an inversion and a decrease in turbulence. It is evaluated using ceilometer and radiosonde data. It is able to qualify the complexity of the vertical structure of the low troposphere and detect internal or residual layers.