Download (2MB).pdf

NC_a bayesian.pdf
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🔗 Source: mural.maynoothuniversity.ie
📊 Size: 2.21 MB
📄 Pages: 18 pages
⬇️ Downloads: 86

Summary

A Bayesian hierarchical model is presented for reconstructing relative sea-level (RSL) change with quantified uncertainty from biological and geochemical sea-level indicators in salt-marsh sediment cores. The model consists of three modules: a new Bayesian transfer function for calibrating biological indicators into tidal elevation, an existing chronology module, and an existing Errors-In-Variables Integrated Gaussian Process model for estimating rates of sea-level change. The approach is illustrated using a case study of Common Era sea-level variability from New Jersey, USA, and results show that the formal incorporation of a second proxy into the Bayesian transfer function reduces vertical uncertainties and improves accuracy for reconstructed RSL.

Description

A Bayesian hierarchical model is presented for reconstructing relative sea-level (RSL) change with quantified uncertainty from biological and geochemical...

Technical Information

  • File Format: PDF
  • File Size: 2.21 MB
  • Pages: 18
  • Language: EN
  • Total Downloads: 86
  • Last Updated: 1 week ago

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