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- Title
Bayesian age models and stacks: combining age inferences from radiocarbon and benthic δ18O stratigraphic alignment.
- Authors
Lee, Taehee; Rand, Devin; Lisiecki, Lorraine E.; Gebbie, Geoffrey; Lawrence, Charles
- Abstract
Previously developed software packages that generate probabilistic age models for ocean sediment cores are designed to either interpolate between different age proxies at discrete depths (e.g., radiocarbon, tephra layers, or tie points) or perform a probabilistic stratigraphic alignment to a dated target (e.g., of benthic δ18 O) and cannot combine age inferences from both techniques. Furthermore, many radiocarbon dating packages are not specifically designed for marine sediment cores, and the default settings may not accurately reflect the probability of sedimentation rate variability in the deep ocean, thus requiring subjective tuning of the parameter settings. Here we present a new technique for generating Bayesian age models and stacks using ocean sediment core radiocarbon and probabilistic alignment of benthic δ18 O data, implemented in a software package named BIGMACS (Bayesian Inference Gaussian Process regression and Multiproxy Alignment of Continuous Signals). BIGMACS constructs multiproxy age models by combining age inferences from both radiocarbon ages and probabilistic benthic δ18 O stratigraphic alignment and constrains sedimentation rates using an empirically derived prior model based on 37 14 C-dated ocean sediment cores (Lin et al., 2014). BIGMACS also constructs continuous benthic δ18 O stacks via a Gaussian process regression, which requires a smaller number of cores than previous stacking methods. This feature allows users to construct stacks for a region that shares a homogeneous deep-water δ18 O signal, while leveraging radiocarbon dates across multiple cores. Thus, BIGMACS efficiently generates local or regional stacks with smaller uncertainties in both age and δ18 O than previously available techniques. We present two example regional benthic δ18 O stacks and demonstrate that the multiproxy age models produced by BIGMACS are more precise than their single-proxy counterparts.
- Subjects
RADIOCARBON dating; CARBON isotopes; KRIGING; MARINE sediments; BAYESIAN field theory; INTEGRATED software
- Publication
Climate of the Past, 2023, Vol 19, Issue 10, p1993
- ISSN
1814-9324
- Publication type
Article
- DOI
10.5194/cp-19-1993-2023