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

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

We present a Bayesian hierarchical model for reconstructing the continuous and dynamic evolution of relative sea-level (RSL) change with quantified uncertainty. The reconstruction is produced from biological (foraminifera) and geochemical (δ13C) sea-level indicators preserved in dated cores of salt-...

Full description

Saved in:
Bibliographic Details
Main Authors: Cahill, Niamh, Kemp, Andrew C., Horton, Benjamin Peter, Parnell, Andrew C.
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2018
Subjects:
Bayesian Transfer Function
Calibration
DRNTU::Science::Geology
Online Access:https://hdl.handle.net/10356/88094
http://hdl.handle.net/10220/46894
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/88094
http://hdl.handle.net/10220/46894

Similar Items