Statistical modelling for relative sea-level data

Maeve Upton; Niamh Cahill; Andrew Parnell

doi:10.1016/B978-0-323-99931-1.00025-8

Statistical modelling for relative sea-level data

Maeve Upton
, Niamh Cahill
, Andrew Parnell

Maynooth University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In this article, an insight is presented into the range of statistical models used for examining relative sea level data from tide gauges and proxy records. A detailed background into the key statistical definitions is provided with various examples. The reader is given a description of different modelling strategies that are available when examining changes in sea level over space and time. In addition, explanation is presented into the different ways to account for uncertainty when using proxy data.

Original language	English
Title of host publication	Encyclopedia of Quaternary Science
Publisher	Elsevier
Pages	Vol6:152-Vol6:173
ISBN (Electronic)	9780323999311
ISBN (Print)	9780443299971
DOIs	https://doi.org/10.1016/B978-0-323-99931-1.00025-8
Publication status	Published - 1 Jan 2024
Externally published	Yes

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10.1016/B978-0-323-99931-1.00025-8

Cite this

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Statistical modelling for relative sea-level data

Abstract

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