Articles | Volume 5, issue 1
Research article
03 Feb 2023
Research article |  | 03 Feb 2023

Bayesian age–depth modelling applied to varve and radiometric dating to optimize the transfer of an existing high-resolution chronology to a new composite sediment profile from Holzmaar (West Eifel Volcanic Field, Germany)

Stella Birlo, Wojciech Tylmann, and Bernd Zolitschka


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gchron-2022-22', Anonymous Referee #1, 12 Oct 2022
    • AC1: 'Reply on RC1', Stella Birlo, 20 Oct 2022
    • AC3: 'Reply on RC1', Stella Birlo, 16 Nov 2022
  • CC1: 'Comment on gchron-2022-22', Natalia Piotrowska, 17 Oct 2022
    • CC2: 'Reply on CC1', Bernd Zolitschka, 19 Oct 2022
    • AC2: 'Reply on CC1', Stella Birlo, 21 Oct 2022
  • RC2: 'Comment on gchron-2022-22', Natalia Piotrowska, 20 Oct 2022
    • AC4: 'Reply on RC2', Stella Birlo, 16 Nov 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (27 Nov 2022) by Irka Hajdas
AR by Stella Birlo on behalf of the Authors (07 Dec 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (19 Dec 2022) by Irka Hajdas
ED: Publish as is (04 Jan 2023) by Philippa Ascough(Editor)
Short summary
Sediment cores from the volcanic lake Holzmaar provide a very precise chronology based on tree-ring-like annual laminations or varves. We statistically combine this varve chronology with radiometric dating and tested three different methods to upgrade the age–depth model. However, only one of the three methods tested improved the dating accuracy considerably. With this work, an overview of different age integration methods is discussed and made available for increased future demands.