Articles | Volume 16, issue 4
https://doi.org/10.5194/amt-16-997-2023
https://doi.org/10.5194/amt-16-997-2023
Research article
 | 
28 Feb 2023
Research article |  | 28 Feb 2023

Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at Réunion island and the Observatoire de Haute-Provence

Mathieu Ratynski, Sergey Khaykin, Alain Hauchecorne, Robin Wing, Jean-Pierre Cammas, Yann Hello, and Philippe Keckhut

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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-2022-822', Anonymous Referee #1, 27 Sep 2022
    • AC1: 'Reply on RC1', Mathieu Ratynski, 23 Dec 2022
    • AC2: 'Reply on RC1', Mathieu Ratynski, 23 Dec 2022
  • RC2: 'Comment on egusphere-2022-822', Anonymous Referee #2, 09 Nov 2022
    • AC3: 'Reply on RC2', Mathieu Ratynski, 23 Dec 2022
  • RC3: 'Comment on egusphere-2022-822', Anonymous Referee #3, 09 Dec 2022
    • AC4: 'Reply on RC3', Mathieu Ratynski, 23 Dec 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Mathieu Ratynski on behalf of the Authors (23 Dec 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (02 Jan 2023) by Ad Stoffelen
RR by Anonymous Referee #1 (09 Jan 2023)
RR by Anonymous Referee #2 (16 Jan 2023)
ED: Publish subject to technical corrections (21 Jan 2023) by Ad Stoffelen
AR by Mathieu Ratynski on behalf of the Authors (26 Jan 2023)  Author's response   Manuscript 
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Short summary
Aeolus is the first spaceborne wind lidar providing global wind measurements since 2018. This study offers a comprehensive analysis of Aeolus instrument performance, using ground-based wind lidars and meteorological radiosondes, at tropical and mid-latitudes sites. The analysis allows assessing the long-term evolution of the satellite's performance for more than 3 years. The results will help further elaborate the understanding of the error sources and the behavior of the Doppler wind lidar.