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Climate of the Past An interactive open-access journal of the European Geosciences Union
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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.
Articles | Volume 12, issue 2
Clim. Past, 12, 525–542, 2016
https://doi.org/10.5194/cp-12-525-2016
Clim. Past, 12, 525–542, 2016
https://doi.org/10.5194/cp-12-525-2016

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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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.
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