Publications


Discriminating luminescence age uncertainty composition for a robust Bayesian modelling

Abstract

Age-depth-relationships are essential to understand expressions of Earth history. Age-depth-relationships reveal the environmental significance of (terrestrial) sediment deposits and relate them to other paleoenvironmental archives. Although luminescence-based ages are of paramount importance, their incorporation in age-depth-models is limited due to the convolved uncertainties with unknown proportions of systematic and random parts. Here, we use an inverse modelling approach for fine-grained quartz OSL ages of loess deposits to (i) generate a probability density function of the random uncertainty part and (ii) use this function to recalculate and improve stratigraphically related OSL ages. Our approach can be applied to other luminescence dating techniques. Applying the algorithm to synthetic data sets generates valid results, despite an average underestimation of the relative random uncertainty by ∼18%. All tests show that precision of the inverse modelling of uncertainty parts depends only on the number of samples per dataset. By using the output of the approach on published data the precision of a late Pleistocene loess sequence chronology was improved by 21–30%.

Resources

url https://doi.org/10.1016/j.quageo.2017.10.001 Accessed 41 times | Last updated 09.07.2018

Bibliography

Zeeden, C., Dietze, M., Kreutzer, S. (2018): Discriminating luminescence age uncertainty composition for a robust Bayesian modelling. – In: Quaternary Geochronology, Vol. 43, p: 30-39, DOI: https://doi.org/10.1016/j.quageo.2017.10.001

Authors Zeeden, Christian and Dietze, Michael and Kreutzer, Sebastian
Type article
Title Discriminating luminescence age uncertainty composition for a robust Bayesian modelling
DOI https://doi.org/10.1016/j.quageo.2017.10.001
Journal Quaternary Geochronology
Year 2018
Volume 43
Pages 30-39
Export BibTeX
Back to dataset list