Articles | Volume 19, issue 10
https://doi.org/10.5194/cp-19-1993-2023
https://doi.org/10.5194/cp-19-1993-2023
Research article
 | 
17 Oct 2023
Research article |  | 17 Oct 2023

Bayesian age models and stacks: combining age inferences from radiocarbon and benthic δ18O stratigraphic alignment

Taehee Lee, Devin Rand, Lorraine E. Lisiecki, Geoffrey Gebbie, and Charles Lawrence

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-734', Anonymous Referee #1, 06 Oct 2022
  • RC2: 'Comment on egusphere-2022-734', Tim Heaton, 28 Dec 2022
  • EC1: 'Comment on egusphere-2022-734', Luke Skinner, 10 Jan 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (07 Mar 2023) by Luke Skinner
AR by Devin Rand on behalf of the Authors (19 Apr 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (19 Apr 2023) by Luke Skinner
RR by Anonymous Referee #1 (18 May 2023)
RR by Tim Heaton (24 May 2023)
ED: Publish subject to minor revisions (review by editor) (14 Jun 2023) by Luke Skinner
AR by Devin Rand on behalf of the Authors (24 Jun 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (04 Aug 2023) by Luke Skinner
AR by Devin Rand on behalf of the Authors (09 Aug 2023)
Download
Short summary
Understanding of past climate change depends, in part, on how accurately we can estimate the ages of events recorded in geologic archives. Here we present a new software package, called BIGMACS, to improve age estimates for paleoclimate data from ocean sediment cores. BIGMACS creates multiproxy age estimates that reduce age uncertainty by probabilistically combining information from direct age estimates, such as radiocarbon dates, and the alignment of regional paleoclimate time series.