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Articles | Volume 2, issue 3
https://doi.org/10.5194/wcd-2-581-2021
https://doi.org/10.5194/wcd-2-581-2021
Research article
 | 
12 Jul 2021
Research article |  | 12 Jul 2021

An unsupervised learning approach to identifying blocking events: the case of European summer

Carl Thomas, Apostolos Voulgarakis, Gerald Lim, Joanna Haigh, and Peer Nowack

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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-2021-1', Anonymous Referee #1, 26 Feb 2021
    • AC1: 'Reply on RC1', Carl Thomas, 06 Apr 2021
  • RC2: 'Comment on wcd-2021-1', Anonymous Referee #2, 04 Mar 2021
    • AC2: 'Reply on RC2', Carl Thomas, 06 Apr 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Carl Thomas on behalf of the Authors (06 Apr 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (12 Apr 2021) by Silvio Davolio
RR by Anonymous Referee #2 (14 Apr 2021)
RR by Anonymous Referee #1 (24 May 2021)
ED: Publish subject to minor revisions (review by editor) (25 May 2021) by Silvio Davolio
AR by Carl Thomas on behalf of the Authors (03 Jun 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (04 Jun 2021) by Silvio Davolio
AR by Carl Thomas on behalf of the Authors (04 Jun 2021)  Author's response   Manuscript 
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Short summary
Atmospheric blocking events are complex large-scale weather patterns which block the path of the...
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