Multivariate spatial conditional extremes for extreme ocean environments

The joint extremal spatial dependence of wind speed and significant wave height in the North East Atlantic is quantified using Metop satellite scatterometer and hindcast observations for the period 2007–2018, and a multivariate spatial conditional extremes (MSCE) model, ultimately motivated by the w...

Full description

Bibliographic Details
Published in:Ocean Engineering
Main Authors: Shooter, Rob, Ross, Emma, Ribal, Agustinus, Young, Ian R., Jonathan, Philip
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
Online Access:https://eprints.lancs.ac.uk/id/eprint/166999/
https://eprints.lancs.ac.uk/id/eprint/166999/1/2201.10451.pdf
https://doi.org/10.1016/j.oceaneng.2022.110647
id ftulancaster:oai:eprints.lancs.ac.uk:166999
record_format openpolar
spelling ftulancaster:oai:eprints.lancs.ac.uk:166999 2023-08-27T04:10:10+02:00 Multivariate spatial conditional extremes for extreme ocean environments Shooter, Rob Ross, Emma Ribal, Agustinus Young, Ian R. Jonathan, Philip 2022-03-31 text https://eprints.lancs.ac.uk/id/eprint/166999/ https://eprints.lancs.ac.uk/id/eprint/166999/1/2201.10451.pdf https://doi.org/10.1016/j.oceaneng.2022.110647 en eng https://eprints.lancs.ac.uk/id/eprint/166999/1/2201.10451.pdf Shooter, Rob and Ross, Emma and Ribal, Agustinus and Young, Ian R. and Jonathan, Philip (2022) Multivariate spatial conditional extremes for extreme ocean environments. Ocean Engineering, 247. ISSN 0029-8018 creative_commons_attribution_noncommercial_noderivatives_4_0_international_license Journal Article PeerReviewed 2022 ftulancaster https://doi.org/10.1016/j.oceaneng.2022.110647 2023-08-03T22:41:09Z The joint extremal spatial dependence of wind speed and significant wave height in the North East Atlantic is quantified using Metop satellite scatterometer and hindcast observations for the period 2007–2018, and a multivariate spatial conditional extremes (MSCE) model, ultimately motivated by the work of Heffernan and Tawn (2004). The analysis involves (a) registering individual satellite swaths and corresponding hindcast data onto a template transect (running approximately north-east to south-west, between the British Isles and Iceland), (b) non-stationary directional-seasonal marginal extreme value analysis at a set of registration locations on the transect, (c) transformation from physical to standard Laplace scale using the fitted marginal model, (d) estimation of the MSCE model on the set of registration locations, and assessment of quality of model fit. A joint model is estimated for three spatial quantities: Metop wind speed, hindcast wind speed and hindcast significant wave height. Results suggest that, when conditioning on extreme Metop wind speed, extremal spatial dependence for all three quantities decays over approximately 600–800 km. Article in Journal/Newspaper Iceland North East Atlantic Lancaster University: Lancaster Eprints Laplace ENVELOPE(141.467,141.467,-66.782,-66.782) Ocean Engineering 247 110647
institution Open Polar
collection Lancaster University: Lancaster Eprints
op_collection_id ftulancaster
language English
description The joint extremal spatial dependence of wind speed and significant wave height in the North East Atlantic is quantified using Metop satellite scatterometer and hindcast observations for the period 2007–2018, and a multivariate spatial conditional extremes (MSCE) model, ultimately motivated by the work of Heffernan and Tawn (2004). The analysis involves (a) registering individual satellite swaths and corresponding hindcast data onto a template transect (running approximately north-east to south-west, between the British Isles and Iceland), (b) non-stationary directional-seasonal marginal extreme value analysis at a set of registration locations on the transect, (c) transformation from physical to standard Laplace scale using the fitted marginal model, (d) estimation of the MSCE model on the set of registration locations, and assessment of quality of model fit. A joint model is estimated for three spatial quantities: Metop wind speed, hindcast wind speed and hindcast significant wave height. Results suggest that, when conditioning on extreme Metop wind speed, extremal spatial dependence for all three quantities decays over approximately 600–800 km.
format Article in Journal/Newspaper
author Shooter, Rob
Ross, Emma
Ribal, Agustinus
Young, Ian R.
Jonathan, Philip
spellingShingle Shooter, Rob
Ross, Emma
Ribal, Agustinus
Young, Ian R.
Jonathan, Philip
Multivariate spatial conditional extremes for extreme ocean environments
author_facet Shooter, Rob
Ross, Emma
Ribal, Agustinus
Young, Ian R.
Jonathan, Philip
author_sort Shooter, Rob
title Multivariate spatial conditional extremes for extreme ocean environments
title_short Multivariate spatial conditional extremes for extreme ocean environments
title_full Multivariate spatial conditional extremes for extreme ocean environments
title_fullStr Multivariate spatial conditional extremes for extreme ocean environments
title_full_unstemmed Multivariate spatial conditional extremes for extreme ocean environments
title_sort multivariate spatial conditional extremes for extreme ocean environments
publishDate 2022
url https://eprints.lancs.ac.uk/id/eprint/166999/
https://eprints.lancs.ac.uk/id/eprint/166999/1/2201.10451.pdf
https://doi.org/10.1016/j.oceaneng.2022.110647
long_lat ENVELOPE(141.467,141.467,-66.782,-66.782)
geographic Laplace
geographic_facet Laplace
genre Iceland
North East Atlantic
genre_facet Iceland
North East Atlantic
op_relation https://eprints.lancs.ac.uk/id/eprint/166999/1/2201.10451.pdf
Shooter, Rob and Ross, Emma and Ribal, Agustinus and Young, Ian R. and Jonathan, Philip (2022) Multivariate spatial conditional extremes for extreme ocean environments. Ocean Engineering, 247. ISSN 0029-8018
op_rights creative_commons_attribution_noncommercial_noderivatives_4_0_international_license
op_doi https://doi.org/10.1016/j.oceaneng.2022.110647
container_title Ocean Engineering
container_volume 247
container_start_page 110647
_version_ 1775352020396408832