Decadal variability of extreme wave height representing storm severity in the northeast Atlantic and 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...
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ftpubmed:oai:pubmedcentral.nih.gov:5046986 2023-05-15T17:28:43+02:00 Decadal variability of extreme wave height representing storm severity in the northeast Atlantic and North Sea since the foundation of the Royal Society Santo, H. Taylor, P. H. Gibson, R. 2016-09 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5046986/ https://doi.org/10.1098/rspa.2016.0376 en eng The Royal Society Publishing http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5046986/ http://dx.doi.org/10.1098/rspa.2016.0376 © 2016 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. CC-BY Research Articles Text 2016 ftpubmed https://doi.org/10.1098/rspa.2016.0376 2016-10-09T00:15:24Z 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 5 year sliding window to examine temporal variability. The decadal variability is correlated to the North Atlantic oscillation and other atmospheric modes, using a six-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 North Atlantic oscillation 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 time scales for locations close to the dominant storm tracks in the open North Atlantic are comparable, whereas the wave climates for the rest of the locations including the North Sea are rather different. Text North Atlantic North Atlantic oscillation Northeast Atlantic PubMed Central (PMC) Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 472 2193 20160376 |
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Research Articles Santo, H. Taylor, P. H. Gibson, R. Decadal variability of extreme wave height representing storm severity in the northeast Atlantic and North Sea since the foundation of the Royal Society |
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Research Articles |
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 5 year sliding window to examine temporal variability. The decadal variability is correlated to the North Atlantic oscillation and other atmospheric modes, using a six-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 North Atlantic oscillation 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 time scales for locations close to the dominant storm tracks in the open North Atlantic are comparable, whereas the wave climates for the rest of the locations including the North Sea are rather different. |
format |
Text |
author |
Santo, H. Taylor, P. H. Gibson, R. |
author_facet |
Santo, H. Taylor, P. H. Gibson, R. |
author_sort |
Santo, H. |
title |
Decadal variability of extreme wave height representing storm severity in the northeast Atlantic and North Sea since the foundation of the Royal Society |
title_short |
Decadal variability of extreme wave height representing storm severity in the northeast Atlantic and North Sea since the foundation of the Royal Society |
title_full |
Decadal variability of extreme wave height representing storm severity in the northeast Atlantic and North Sea since the foundation of the Royal Society |
title_fullStr |
Decadal variability of extreme wave height representing storm severity in the northeast Atlantic and 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 and North Sea since the foundation of the Royal Society |
title_sort |
decadal variability of extreme wave height representing storm severity in the northeast atlantic and north sea since the foundation of the royal society |
publisher |
The Royal Society Publishing |
publishDate |
2016 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5046986/ https://doi.org/10.1098/rspa.2016.0376 |
genre |
North Atlantic North Atlantic oscillation Northeast Atlantic |
genre_facet |
North Atlantic North Atlantic oscillation Northeast Atlantic |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5046986/ http://dx.doi.org/10.1098/rspa.2016.0376 |
op_rights |
© 2016 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
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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1766121565020225536 |