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)

Birlo, Stella; Tylmann, Wojciech; Zolitschka, Bernd

doi:https://doi.org/10.5194/gchron-5-65-2023

Articles | Volume 5, issue 1

https://doi.org/10.5194/gchron-5-65-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gchron-5-65-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Data sets

Bayesian age-depth modelling applied to varve counting and radiometric dating to develop a high-resolution chronology for a new composite sediment profile from Holzmaar (Germany) Stella Birlo, Wojciech Tylmann, and Bernd Zolitschka https://doi.org/10.1594/PANGAEA.949393

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.