Articles | Volume 12, issue 2
Clim. Past, 12, 525–542, 2016
Clim. Past, 12, 525–542, 2016
Research article
29 Feb 2016
Research article | 29 Feb 2016

A Bayesian hierarchical model for reconstructing relative sea level: from raw data to rates of change

Niamh Cahill et al.

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Cited articles

Barlow, N. L. M., Long, A. J., Saher, M. H., Gehrels, W. R., Garnett, M. H., and Scaife, R. G.: Salt-marsh reconstructions of relative sea-level change in the North Atlantic during the last 2000 years, Quaternary Sci. Rev., 99, 1–16, 2014.
Birks, H. J.: Overview of numerical methods in palaeolimnology, in: Tracking Environmental Change Using Lake Sediments: Data Handling and Numerical Techniques, edited by: Birks, H., Lotter, A., Juggins, S., and Smol, J., vol. 5 of Tracking environmental change using lake sediments, book section 2, Springer, 2012.
Birks, H. J. B.: Quantitative Palaeoenvironmental Reconstructions, in: Statistical Modelling of Quaternary Science Data, edited by: Maddy, D. and Brew, J. S., vol. Technical Guide 5 of Technical Guide, 161–254, Quaternary Research Association, Cambridge, 1995.
Birks, H. J. B., Line, J. M., Juggins, S., Stevenson, A. C., and ter Braak, C. J. F.: Diatoms and pH Reconstruction, Philos. T. Roy. Soc. B, 327, 263–278, 1990.
Birks, J.: Calibration, Transfer Functions and Environmental Reconstructions, in: PAGES, 2010.
Short summary
We propose a Bayesian model for the reconstruction and analysis of former sea levels. The model provides a single, unifying framework for reconstructing and analyzing sea level through time with fully quantified uncertainty. We illustrate our approach using a case study of Common Era (last 2000 years) sea levels from New Jersey.