Articles | Volume 4, issue 4
https://doi.org/10.5194/wcd-4-981-2023
https://doi.org/10.5194/wcd-4-981-2023
Research article
 | 
20 Nov 2023
Research article |  | 20 Nov 2023

Identification of high-wind features within extratropical cyclones using a probabilistic random forest – Part 2: Climatology over Europe

Lea Eisenstein, Benedikt Schulz, Joaquim G. Pinto, and Peter Knippertz

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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 wcd-2023-10', Suzanne L. Gray, 18 Apr 2023
    • AC1: 'Reply on RC1', Lea Eisenstein, 23 Jun 2023
      • AC3: 'Reply on AC1', Lea Eisenstein, 23 Jun 2023
  • RC2: 'Review of “Identification of high-wind features within extratropical cyclones using a probabilistic random forest – Part 2: Climatology” by Lea Eisenstein et al.', Anonymous Referee #2, 25 Apr 2023
    • AC2: 'Reply on RC2', Lea Eisenstein, 23 Jun 2023
      • AC4: 'Reply on AC2', Lea Eisenstein, 23 Jun 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Lea Eisenstein on behalf of the Authors (04 Aug 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (16 Aug 2023) by Gwendal Rivière
RR by Suzanne L. Gray (01 Sep 2023)
RR by Anonymous Referee #2 (08 Sep 2023)
ED: Publish subject to minor revisions (review by editor) (22 Sep 2023) by Gwendal Rivière
AR by Lea Eisenstein on behalf of the Authors (29 Sep 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (03 Oct 2023) by Gwendal Rivière
AR by Lea Eisenstein on behalf of the Authors (05 Oct 2023)  Manuscript 
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Short summary
Mesoscale high-wind features within extratropical cyclones can cause immense damage. In Part 1 of this work, we introduced RAMEFI (RAndom-forest-based MEsoscale wind Feature Identification), an objective, flexible identification tool for these wind features based on a probabilistic random forest. Here, we use RAMEFI to compile a climatology of the features over 19 extended winter seasons over western and central Europe, focusing on relative occurrence, affected areas and further characteristics.