Decadal variability of extreme wave height representing storm severity in the northeast Atlantic & North Sea since the foundation of the Royal Society

Long-term estimation of extreme wave height remains a key challenge because of the short duration of available wave data, and also because of the possible impact of climate variability on ocean waves. Here we analyse storm-based statistics to obtain estimates of extreme wave height at locations in t...

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Published in:Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
Main Authors: Santo, H, Taylor, P, Gibson, R
Format: Article in Journal/Newspaper
Language:unknown
Published: Royal Society 2016
Subjects:
Online Access:https://doi.org/10.1098/rspa.2016.0376
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spelling ftuloxford:oai:ora.ox.ac.uk:uuid:9720fa23-26f0-4647-84fc-30fc2a7f5b5b 2023-05-15T17:30:39+02:00 Decadal variability of extreme wave height representing storm severity in the northeast Atlantic & North Sea since the foundation of the Royal Society Santo, H Taylor, P Gibson, R 2016-08-19 https://doi.org/10.1098/rspa.2016.0376 https://ora.ox.ac.uk/objects/uuid:9720fa23-26f0-4647-84fc-30fc2a7f5b5b unknown Royal Society doi:10.1098/rspa.2016.0376 https://ora.ox.ac.uk/objects/uuid:9720fa23-26f0-4647-84fc-30fc2a7f5b5b https://doi.org/10.1098/rspa.2016.0376 info:eu-repo/semantics/openAccess CC Attribution (CC BY) CC-BY Journal article 2016 ftuloxford https://doi.org/10.1098/rspa.2016.0376 2022-06-28T20:18:55Z Long-term estimation of extreme wave height remains a key challenge because of the short duration of available wave data, and also because of the possible impact of climate variability on ocean waves. Here we analyse storm-based statistics to obtain estimates of extreme wave height at locations in the northeast Atlantic and North Sea using the NORA10 wave hindcast (1958 − 2011), and use a five-year sliding window to examine temporal variability. The decadal variability is correlated to the North Atlantic Oscillation and other atmospheric modes using a 6-term predictor model incorporating the climate indices and their Hilbert transforms. This allows reconstruction of the historic extreme climate back to 1661 using a combination of known and proxy climate indices. Significant decadal variability primarily driven by the NAO is observed, and this should be considered for the long-term survivability of offshore structures and marine renewable energy devices. The analysis on wave climate reconstruction reveals that the variation of the mean, 99th percentile and extreme wave climates over decadal timescales for locations close to the dominant storm tracks in the open North Atlantic are comparable, while the wave climates for the rest of the locations including the North Sea are rather different. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Northeast Atlantic ORA - Oxford University Research Archive Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 472 2193 20160376
institution Open Polar
collection ORA - Oxford University Research Archive
op_collection_id ftuloxford
language unknown
description Long-term estimation of extreme wave height remains a key challenge because of the short duration of available wave data, and also because of the possible impact of climate variability on ocean waves. Here we analyse storm-based statistics to obtain estimates of extreme wave height at locations in the northeast Atlantic and North Sea using the NORA10 wave hindcast (1958 − 2011), and use a five-year sliding window to examine temporal variability. The decadal variability is correlated to the North Atlantic Oscillation and other atmospheric modes using a 6-term predictor model incorporating the climate indices and their Hilbert transforms. This allows reconstruction of the historic extreme climate back to 1661 using a combination of known and proxy climate indices. Significant decadal variability primarily driven by the NAO is observed, and this should be considered for the long-term survivability of offshore structures and marine renewable energy devices. The analysis on wave climate reconstruction reveals that the variation of the mean, 99th percentile and extreme wave climates over decadal timescales for locations close to the dominant storm tracks in the open North Atlantic are comparable, while the wave climates for the rest of the locations including the North Sea are rather different.
format Article in Journal/Newspaper
author Santo, H
Taylor, P
Gibson, R
spellingShingle Santo, H
Taylor, P
Gibson, R
Decadal variability of extreme wave height representing storm severity in the northeast Atlantic & North Sea since the foundation of the Royal Society
author_facet Santo, H
Taylor, P
Gibson, R
author_sort Santo, H
title Decadal variability of extreme wave height representing storm severity in the northeast Atlantic & North Sea since the foundation of the Royal Society
title_short Decadal variability of extreme wave height representing storm severity in the northeast Atlantic & North Sea since the foundation of the Royal Society
title_full Decadal variability of extreme wave height representing storm severity in the northeast Atlantic & North Sea since the foundation of the Royal Society
title_fullStr Decadal variability of extreme wave height representing storm severity in the northeast Atlantic & North Sea since the foundation of the Royal Society
title_full_unstemmed Decadal variability of extreme wave height representing storm severity in the northeast Atlantic & North Sea since the foundation of the Royal Society
title_sort decadal variability of extreme wave height representing storm severity in the northeast atlantic & north sea since the foundation of the royal society
publisher Royal Society
publishDate 2016
url https://doi.org/10.1098/rspa.2016.0376
https://ora.ox.ac.uk/objects/uuid:9720fa23-26f0-4647-84fc-30fc2a7f5b5b
genre North Atlantic
North Atlantic oscillation
Northeast Atlantic
genre_facet North Atlantic
North Atlantic oscillation
Northeast Atlantic
op_relation doi:10.1098/rspa.2016.0376
https://ora.ox.ac.uk/objects/uuid:9720fa23-26f0-4647-84fc-30fc2a7f5b5b
https://doi.org/10.1098/rspa.2016.0376
op_rights info:eu-repo/semantics/openAccess
CC Attribution (CC BY)
op_rightsnorm CC-BY
op_doi https://doi.org/10.1098/rspa.2016.0376
container_title Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
container_volume 472
container_issue 2193
container_start_page 20160376
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