Identification of high-wind features within extratropical cyclones using a probabilistic random forest – Part 1: Method and case studies

Eisenstein, Lea; Schulz, Benedikt; Qadir, Ghulam A.; Pinto, Joaquim G.; Knippertz, Peter

doi:https://doi.org/10.5194/wcd-3-1157-2022

Articles | Volume 3, issue 4

https://doi.org/10.5194/wcd-3-1157-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wcd-3-1157-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 3, issue 4

Research article

|

19 Oct 2022

Research article |

| 19 Oct 2022

Identification of high-wind features within extratropical cyclones using a probabilistic random forest – Part 1: Method and case studies

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

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Final revised paper (published on 19 Oct 2022)
Preprint (discussion started on 17 May 2022)

Interactive discussion

Status: closed

RC1:
'Comment on wcd-2022-29', Anonymous Referee #1, 01 Jul 2022

The comment was uploaded in the form of a supplement: https://wcd.copernicus.org/preprints/wcd-2022-29/wcd-2022-29-RC1-supplement.pdf

Citation: https://doi.org/10.5194/wcd-2022-29-RC1
- AC1: 'Reply on RC1', Lea Eisenstein, 16 Aug 2022
  
  We would like to thank you for your constructive comments, which helped to improve our paper. We addressed all your comments in the attached PDF file. We revised the mathematical parts of the manuscript to better explain our method and addressed the mentioned limitations. We understand that the structure might not be optimal and made several smaller changes to it and removed repetitions as suggested, while keeping the overall structure.
  
  Citation: https://doi.org/10.5194/wcd-2022-29-AC1
RC2:
'Comment on wcd-2022-29', Ambrogio Volonté, 25 Jul 2022

The comment was uploaded in the form of a supplement: https://wcd.copernicus.org/preprints/wcd-2022-29/wcd-2022-29-RC2-supplement.pdf

Citation: https://doi.org/10.5194/wcd-2022-29-RC2
- AC2: 'Reply on RC2', Lea Eisenstein, 16 Aug 2022
  
  We would like to thank you for your constructive comments, which helped to improve our paper. We addressed all your comments in the attached PDF file. For the three key points made by reviewer 1 please see the corresponding reply. We further clarified the remaining open issues you made us aware of.
  
  Citation: https://doi.org/10.5194/wcd-2022-29-AC2

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Lea Eisenstein on behalf of the Authors (16 Aug 2022) Author's response Author's tracked changes Manuscript

ED: Referee Nomination & Report Request started (22 Aug 2022) by Silvio Davolio

RR by Anonymous Referee #1 (31 Aug 2022)

RR by Ambrogio Volonté (05 Sep 2022)

ED: Publish subject to minor revisions (review by editor) (06 Sep 2022) by Silvio Davolio

AR by Lea Eisenstein on behalf of the Authors (16 Sep 2022) Author's response Author's tracked changes Manuscript

ED: Publish as is (19 Sep 2022) by Silvio Davolio

Short summary

Mesoscale high-wind features within extratropical cyclones can cause immense damage. Here, we present RAMEFI, a novel approach to objectively identify the wind features based on a probabilistic random forest. RAMEFI enables a wide range of applications such as probabilistic predictions for the occurrence or a multi-decadal climatology of these features, which will be the focus of Part 2 of the study, with the goal of improving wind and, specifically, wind gust forecasts in the long run.