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Design conditions for waves and water levels using extreme value analysis with covariates

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Design conditions for waves and water levels using extreme value analysis with covariates. / Feld, Graham; Randell, David; Ross, Emma et al.
In: Ocean Engineering, Vol. 173, 10.02.2019, p. 851-866.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Feld G, Randell D, Ross E, Jonathan P. Design conditions for waves and water levels using extreme value analysis with covariates. Ocean Engineering. 2019 Feb 10;173:851-866. Epub 2019 Feb 5. doi: 10.1016/j.oceaneng.2018.10.027

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Feld, Graham ; Randell, David ; Ross, Emma et al. / Design conditions for waves and water levels using extreme value analysis with covariates. In: Ocean Engineering. 2019 ; Vol. 173. pp. 851-866.

Bibtex

@article{a472e511b15d4fa1838891fd29e998bf,
title = "Design conditions for waves and water levels using extreme value analysis with covariates",
abstract = "This article presents a step-by-step procedure for estimation of the joint distribution of N-year maximum significant wave height, individual wave and crest heights, and total water level, accommodating the effects of directional and seasonal variation, surge and tide. The approach is based on non-stationary extreme value analysis of peaks over threshold incorporating careful uncertainty quantification, and is illustrated for a North Sea location using hindcast data. The article further provides a brief overview of the development of a regulatory framework for specification of design conditions for total water level over the past half century.",
keywords = "Extreme, Metocean design, Non-stationary, Total extreme water level, Uncertainty",
author = "Graham Feld and David Randell and Emma Ross and Philip Jonathan",
year = "2019",
month = feb,
day = "10",
doi = "10.1016/j.oceaneng.2018.10.027",
language = "English",
volume = "173",
pages = "851--866",
journal = "Ocean Engineering",
issn = "0029-8018",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - Design conditions for waves and water levels using extreme value analysis with covariates

AU - Feld, Graham

AU - Randell, David

AU - Ross, Emma

AU - Jonathan, Philip

PY - 2019/2/10

Y1 - 2019/2/10

N2 - This article presents a step-by-step procedure for estimation of the joint distribution of N-year maximum significant wave height, individual wave and crest heights, and total water level, accommodating the effects of directional and seasonal variation, surge and tide. The approach is based on non-stationary extreme value analysis of peaks over threshold incorporating careful uncertainty quantification, and is illustrated for a North Sea location using hindcast data. The article further provides a brief overview of the development of a regulatory framework for specification of design conditions for total water level over the past half century.

AB - This article presents a step-by-step procedure for estimation of the joint distribution of N-year maximum significant wave height, individual wave and crest heights, and total water level, accommodating the effects of directional and seasonal variation, surge and tide. The approach is based on non-stationary extreme value analysis of peaks over threshold incorporating careful uncertainty quantification, and is illustrated for a North Sea location using hindcast data. The article further provides a brief overview of the development of a regulatory framework for specification of design conditions for total water level over the past half century.

KW - Extreme

KW - Metocean design

KW - Non-stationary

KW - Total extreme water level

KW - Uncertainty

U2 - 10.1016/j.oceaneng.2018.10.027

DO - 10.1016/j.oceaneng.2018.10.027

M3 - Journal article

VL - 173

SP - 851

EP - 866

JO - Ocean Engineering

JF - Ocean Engineering

SN - 0029-8018

ER -