Abstract

The assessment of age uncertainty in stratigraphically aligned records is a pressing need in paleoceanographic research. The alignment of ocean sediment cores is used to develop mutually consistent age models for climate proxies and is often based on the δ18O of calcite from benthic foraminifera, which records a global ice volume and deep water temperature signal. To date, δ18O alignment has been performed by manual, qualitative comparison or by deterministic algorithms. Here we present a hidden Markov model (HMM) probabilistic algorithm to find 95% confidence bands for δ18O alignment. This model considers the probability of every possible alignment based on its fit to the δ18O data and transition probabilities for sedimentation rate changes obtained from radiocarbon‐based estimates for 37 cores. Uncertainty is assessed using a stochastic back trace recursion to sample alignments in exact …

Metadata

publication

Paleoceanography 29 (10), 976-989, 2014

year

2014

publication date

2014/10

authors

Luan Lin, Deborah Khider, Lorraine E Lisiecki, Charles E Lawrence

link

https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2014PA002713

resource_link

https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2014PA002713

journal

Paleoceanography

volume

29

issue

10

pages

976-989