Articles | Volume 4, issue 1
https://doi.org/10.5194/gchron-4-409-2022
https://doi.org/10.5194/gchron-4-409-2022
Research article
 | 
23 Jun 2022
Research article |  | 23 Jun 2022

A Bayesian approach to integrating radiometric dating and varve measurements in intermittently indistinct sediment

Stephanie H. Arcusa, Nicholas P. McKay, Charlotte Wiman, Sela Patterson, Samuel E. Munoz, and Marco A. Aquino-López

Data sets

Measurements_supplement_revised - Supplemental material for Dust-drought interactions over the last 15\,000 years: A network of lake sediment records from the San Juan Mountains, Colorado Stephanie H. Arcusa, Nicholas P. McKay, Cody C. Routson, and Samuel E. Munoz https://doi.org/10.25384/sage.9879209.v1

Columbine Lake varve measurements from observer 1, 2, and 3 Stephanie Arcusa, Sela Patterson, Nicholas Mckay, Samuel Munoz, Marco A. Aquino-López, and Charlotte Wiman https://doi.org/10.6084/m9.figshare.14251400.v1

Columbine Lake LiPD and Bacon files Stephanie Arcusa https://doi.org/10.6084/m9.figshare.14417999.v1

Columbine Lake lead models from serac package Stephanie Arcusa, Nick Mckay, Charlotte Wiman, Samuel E. Munoz, Sela Patterson, and Marco A. Aquino-López https://doi.org/10.6084/m9.figshare.17156702.v1

Columbine Lake cesium raw data Stephanie Arcusa, Nick Mckay, Marco A. Aquino-López, Samuel E. Munoz, Charlotte Wiman, and Sela Patterson https://doi.org/10.6084/m9.figshare.17157245.v1

Model code and software

nickmckay/varveR: Release for Arcusa et al. Columbine Varve Manuscript (0.1.0) Nick McKay and Stephanie Arcusa https://doi.org/10.5281/zenodo.4733326

sarcusa/varveR_Gibbs: Supporting code for New approaches to dating intermittently varved sediment, Columbine lake, Colorado, USA (v.2.0.0) Stephanie Arcusa https://doi.org/10.5281/zenodo.4744871

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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.