Articles | Volume 19, issue 11
Research article
10 Nov 2023
Research article |  | 10 Nov 2023

The Antarctic Ice Core Chronology 2023 (AICC2023) chronological framework and associated timescale for the European Project for Ice Coring in Antarctica (EPICA) Dome C ice core

Marie Bouchet, Amaëlle Landais, Antoine Grisart, Frédéric Parrenin, Frédéric Prié, Roxanne Jacob, Elise Fourré, Emilie Capron, Dominique Raynaud, Vladimir Ya Lipenkov, Marie-France Loutre, Thomas Extier, Anders Svensson, Etienne Legrain, Patricia Martinerie, Markus Leuenberger, Wei Jiang, Florian Ritterbusch, Zheng-Tian Lu, and Guo-Min Yang


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Recommendation of AICC2023 by EPICA SSC', Eric Wolff, 30 Jun 2023
    • AC1: 'Reply on CC1', Marie Bouchet, 01 Sep 2023
  • RC1: 'Comment on egusphere-2023-1081', Anonymous Referee #1, 04 Jul 2023
  • RC2: 'Comment on egusphere-2023-1081', Anonymous Referee #2, 28 Jul 2023
  • EC1: 'Request for author response', Christo Buizert, 29 Jul 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (05 Sep 2023) by Christo Buizert
AR by Marie Bouchet on behalf of the Authors (21 Sep 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (25 Sep 2023) by Christo Buizert
AR by Marie Bouchet on behalf of the Authors (02 Oct 2023)  Manuscript 
Short summary
A new federative chronology for five deep polar ice cores retrieves 800 000 years of past climate variations with improved accuracy. Precise ice core timescales are key to studying the mechanisms linking changes in the Earth’s orbit to the diverse climatic responses (temperature and atmospheric greenhouse gas concentrations). To construct the chronology, new measurements from the oldest continuous ice core as well as glaciological modeling estimates were combined in a statistical model.