Geochronology
Geochronology
GChron
Articles | Volume 6, issue 4
Articles | Volume 6, issue 4
https://doi.org/10.5194/gchron-6-503-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gchron-6-503-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 6, issue 4
Research article
 | 
15 Oct 2024
Research article |  | 15 Oct 2024

Towards the construction of regional marine radiocarbon calibration curves: an unsupervised machine learning approach

Ana-Cristina Mârza, Laurie Menviel, and Luke C. Skinner

Viewed

Total article views: 767 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
542 165 60 767 87 34 29
  • HTML: 542
  • PDF: 165
  • XML: 60
  • Total: 767
  • Supplement: 87
  • BibTeX: 34
  • EndNote: 29
Views and downloads (calculated since 18 Dec 2023)
Cumulative views and downloads (calculated since 18 Dec 2023)

Viewed (geographical distribution)

Total article views: 767 (including HTML, PDF, and XML) Thereof 746 with geography defined and 21 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Jan 2025
Download
Short summary
Radiocarbon serves as a powerful dating tool, but the calibration of marine radiocarbon dates presents significant challenges because the whole surface ocean cannot be represented by a single calibration curve. Here we use climate model outputs and data to assess a novel method for developing regional marine calibration curves. Our results are encouraging and point to a way forward for solving the marine radiocarbon age calibration problem without relying on model simulations of the past.

 
Read more