Articles | Volume 15, issue 17
https://doi.org/10.5194/gmd-15-6759-2022
https://doi.org/10.5194/gmd-15-6759-2022
Methods for assessment of models
 | 
06 Sep 2022
Methods for assessment of models |  | 06 Sep 2022

Intercomparison of four algorithms for detecting tropical cyclones using ERA5

Stella Bourdin, Sébastien Fromang, William Dulac, Julien Cattiaux, and Fabrice Chauvin

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Referee comments on egusphere-2022-179', Malcolm J. Roberts, 10 May 2022
    • AC1: 'Reply on CC1', Stella Bourdin, 29 Jul 2022
  • RC1: 'Comment on egusphere-2022-179', Anonymous Referee #1, 10 Jun 2022
    • AC2: 'Reply on RC1', Stella Bourdin, 29 Jul 2022
  • EC1: 'Comment on egusphere-2022-179', Travis O'Brien, 15 Jul 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Stella Bourdin on behalf of the Authors (29 Jul 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (29 Jul 2022) by Travis O'Brien
AR by Stella Bourdin on behalf of the Authors (02 Aug 2022)  Manuscript 
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Short summary
When studying tropical cyclones in a large dataset, one needs objective and automatic procedures to detect their specific pattern. Applying four different such algorithms to a reconstruction of the climate, we show that the choice of the algorithm is crucial to the climatology obtained. Mainly, the algorithms differ in their sensitivity to weak storms so that they provide different frequencies and durations. We review the different options to consider for the choice of the tracking methodology.