Articles | Volume 4, issue 1
https://doi.org/10.5194/gchron-4-409-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gchron-4-409-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Jun 2022
Research article |
| 23 Jun 2022
| 23 Jun 2022
A Bayesian approach to integrating radiometric dating and varve measurements in intermittently indistinct sediment
School of Earth and Sustainability, Northern Arizona University, Flagstaff, AZ 86011, USA
Nicholas P. McKay
School of Earth and Sustainability, Northern Arizona University, Flagstaff, AZ 86011, USA
Charlotte Wiman
Department of Marine and Environmental Sciences, Northeastern University, Marine Science Center, Nahant, MA 01908, USA
Sela Patterson
School of Earth and Sustainability, Northern Arizona University, Flagstaff, AZ 86011, USA
Samuel E. Munoz
Department of Marine and Environmental Sciences, Northeastern University, Marine Science Center, Nahant, MA 01908, USA
Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA
Marco A. Aquino-López
Centro de Investigación en Matemáticas (CIMAT), Jalisco s/n, Valenciana, 36023 Guanajuato, Gto, Mexico
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Zimmerman, S. R. H. and Wahl, D. B.:
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Zolitschka, B., Francus, P., Ojala, A. E. K., and Schimmelmann, A.:
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Short summary
Annually banded lake sediment can track environmental change with high resolution in locations where alternatives are not available. Yet, information about chronology is often affected by poor appearance. Traditional methods struggle with these records. To overcome this obstacle we demonstrate a Bayesian approach that combines information from radiocarbon dating and laminations on cores from Columbine Lake, Colorado, expanding possibilities for producing high-resolution records globally.
Annually banded lake sediment can track environmental change with high resolution in locations...
