Articles | Volume 6, issue 1
https://doi.org/10.5194/gchron-6-107-2024
https://doi.org/10.5194/gchron-6-107-2024
Research article
 | 
27 Mar 2024
Research article |  | 27 Mar 2024

Bayesian integration of astrochronology and radioisotope geochronology

Robin B. Trayler, Stephen R. Meyers, Bradley B. Sageman, and Mark D. Schmitz

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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 gchron-2023-22', Maarten Blaauw, 27 Sep 2023
    • AC1: 'Reply on RC1', Robin Trayler, 23 Oct 2023
      • AC2: 'Reply on AC1', Robin Trayler, 23 Oct 2023
  • CC1: 'Comment on gchron-2023-22', Niklas Hohmann, 11 Oct 2023
    • AC4: 'Reply on CC1', Robin Trayler, 31 Oct 2023
  • RC2: 'Comment on gchron-2023-22', David De Vleeschouwer, 13 Oct 2023
    • RC3: 'Reply on RC2', David De Vleeschouwer, 13 Oct 2023
      • AC6: 'Reply on RC3', Robin Trayler, 09 Nov 2023
    • AC5: 'Reply on RC2', Robin Trayler, 09 Nov 2023
  • CC2: 'Comment on gchron-2023-22', Matthias Sinnesael, 17 Oct 2023
    • AC3: 'Reply on CC2', Robin Trayler, 26 Oct 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (23 Dec 2023) by Michael Dietze
AR by Robin Trayler on behalf of the Authors (19 Jan 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (20 Jan 2024) by Michael Dietze
RR by David De Vleeschouwer (31 Jan 2024)
RR by Maarten Blaauw (03 Feb 2024)
ED: Publish as is (08 Feb 2024) by Michael Dietze
ED: Publish subject to technical corrections (08 Feb 2024) by Klaus Mezger (Editor)
AR by Robin Trayler on behalf of the Authors (13 Feb 2024)  Manuscript 
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Short summary
Developing models that relate stratigraphic position to time are important because they allow the rock record to be understood in terms of absolute time, allowing global comparisons. We developed a novel method for developing these models (called age–depth models) that uses two different types of chronologic information, dated rocks, and records of variations in the Earth's orbit (astrochronology). The resulting models are very precise, which can improve understanding of past climates.