Articles | Volume 20, issue 11
https://doi.org/10.5194/cp-20-2431-2024
https://doi.org/10.5194/cp-20-2431-2024
Research article
 | 
05 Nov 2024
Research article |  | 05 Nov 2024

Estimating biases during detection of leads and lags between climate elements across Dansgaard–Oeschger events

John Slattery, Louise C. Sime, Francesco Muschitiello, and Keno Riechers

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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-2023-2496', Mathieu Casado, 21 Dec 2023
    • AC2: 'Reply on RC1', John Slattery, 14 Mar 2024
  • RC2: 'Comment on egusphere-2023-2496', Sune O. Rasmussen, 10 Jan 2024
    • AC3: 'Reply on RC2', John Slattery, 14 Mar 2024
  • RC3: 'Comment on egusphere-2023-2496', Anonymous Referee #3, 12 Feb 2024
    • AC4: 'Reply on RC3', John Slattery, 14 Mar 2024
  • EC1: 'Comment on egusphere-2023-2496', Emilie Capron, 13 Feb 2024
    • AC1: 'Reply on EC1', John Slattery, 15 Feb 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (29 Mar 2024) by Emilie Capron
AR by John Slattery on behalf of the Authors (10 May 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (27 May 2024) by Emilie Capron
RR by Sune O. Rasmussen (19 Jun 2024)
RR by Mathieu Casado (16 Jul 2024)
ED: Publish subject to minor revisions (review by editor) (30 Jul 2024) by Emilie Capron
AR by John Slattery on behalf of the Authors (07 Aug 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (02 Sep 2024) by Emilie Capron
AR by John Slattery on behalf of the Authors (06 Sep 2024)
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Short summary
Dansgaard–Oeschger events are a series of abrupt past climate change events during which the atmosphere, sea ice, and ocean in the North Atlantic underwent rapid changes. One current topic of interest is the order in which these different changes occurred, which remains unknown. In this work, we find that the current best method used to investigate this topic is subject to substantial bias. This implies that it is not possible to reliably determine the order of the different changes.