Articles | Volume 6, issue 4
https://doi.org/10.5194/wcd-6-1075-2025
https://doi.org/10.5194/wcd-6-1075-2025
Research article
 | 
07 Oct 2025
Research article |  | 07 Oct 2025

The role of large-scale atmospheric patterns for recent warming periods in Greenland from 1900–2015

Florina Roana Schalamon, Sebastian Scher, Andreas Trügler, Lea Hartl, Wolfgang Schöner, and Jakob Abermann

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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 egusphere-2024-4060', Anonymous Referee #1, 27 Jan 2025
    • AC1: 'Reply on RC1', Florina Roana Schalamon, 17 Mar 2025
  • RC2: 'Comment on egusphere-2024-4060', Anonymous Referee #2, 28 May 2025
  • RC3: 'Comment on egusphere-2024-4060', Anonymous Referee #3, 12 Jun 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Florina Roana Schalamon on behalf of the Authors (09 Jul 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (16 Jul 2025) by Lukas Papritz
AR by Florina Roana Schalamon on behalf of the Authors (22 Jul 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (21 Aug 2025) by Lukas Papritz
AR by Florina Roana Schalamon on behalf of the Authors (25 Aug 2025)  Manuscript 
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Short summary
Atmospheric patterns influence the air temperature in Greenland. We investigate two warming periods, from 1922–1932 and 1993–2007, both showing similar temperature increases. Using a neural network-based clustering method, we defined predominant atmospheric patterns for further analysis. Our findings reveal that while the connection between these patterns and local air temperature remains stable, the distribution of patterns changes between the warming periods and the full period (1900–2015).
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