Chapter 32

Using chronological models in late Holocene sea‐level reconstructions from saltmarsh sediments

Andrew C. Parnell

School of Mathematical Sciences (Statistics), Complex and Adaptive Systems Laboratory, University College Dublin, Dublin, Ireland

Search for more papers by this author
W. Roland Gehrels

Environment Department, University of York, Heslington, York, UK

Search for more papers by this author
First published: 17 February 2015
Citations: 3

Summary

In the last decade or so, many studies from mid‐and high‐latitude coastal settings have shown that high‐resolution sea‐level reconstructions can be derived from chronological and micropaleontological analyses of saltmarsh sediment cores. The inclusion of uncertainties in the analysis of data is a vital aspect of these sea‐level studies. One key uncertainty is that of the age of the sea‐level index points (SLIPs). In Holocene paleoecological studies from environments where sedimentation rates are more constant the use of chronological age modeling is more common. This chapter shows how these uncertainties might be estimated appropriately using statistical chronology models, and then used to estimate rates of sea‐level change. Finally, the chapter provides two case studies based on sea‐level data from Iceland and Tasmania, for which one can estimate chronology models and calculate rates of sea‐level change.

Number of times cited according to CrossRef: 3

  • Frequency selection in paleoclimate time series: A model‐based approach incorporating possible time uncertainty, Environmetrics, 10.1002/env.2492, 29, 2, (2018).
  • A Bayesian hierarchical model for reconstructing relative sea level: from raw data to rates of change, Climate of the Past, 10.5194/cp-12-525-2016, 12, 2, (525-542), (2016).
  • A Bayesian hierarchical model for reconstructing relative sea level: from raw data to rates of change, Climate of the Past Discussions, 10.5194/cpd-11-4851-2015, 11, 5, (4851-4893), (2015).

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.