Articles | Volume 18, issue 4
https://doi.org/10.5194/os-18-915-2022
https://doi.org/10.5194/os-18-915-2022
Research article
 | 
04 Jul 2022
Research article |  | 04 Jul 2022

Clustering analysis of the Sargassum transport process: application to beaching prediction in the Lesser Antilles

Didier Bernard, Emmanuel Biabiany, Raphaël Cécé, Romual Chery, and Naoufal Sekkat

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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 os-2021-109', Anonymous Referee #1, 15 Dec 2021
    • AC1: 'Reply on RC1', Didier Bernard, 11 Mar 2022
  • CC1: 'Comment on os-2021-109', Nathan Putman, 20 Dec 2021
    • AC2: 'Reply on CC1', Didier Bernard, 14 Mar 2022
  • RC2: 'Comment on os-2021-109', Anonymous Referee #2, 16 Feb 2022
    • AC3: 'Reply on RC2', Didier Bernard, 16 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Didier Clément Bernard on behalf of the Authors (23 Mar 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (08 Apr 2022) by Ismael Hernández-Carrasco
RR by Leo Berline (20 Apr 2022)
RR by Anonymous Referee #2 (07 Jun 2022)
ED: Publish subject to technical corrections (09 Jun 2022) by Ismael Hernández-Carrasco
AR by Didier Clément Bernard on behalf of the Authors (13 Jun 2022)  Author's response   Manuscript 
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Short summary
The massive Sargassum algae beachings observed over the past decade are a new natural hazard currently impacting the island states of the Caribbean region. This study aims to improve the prediction of the surface current dynamic leading to beachings in the Lesser Antilles using clustering analysis methods. The present clustering analysis predictive system would help improve this risk management in the islands of the region.