Role of Atmospheric Indices in Describing Inshore Directional Wave Climate in the United Kingdom and Ireland

Abstract Improved understanding of how our coasts will evolve over a range of time scales (years‐decades) is critical for effective and sustainable management of coastal infrastructure. A robust knowledge of the spatial, directional and temporal variability of the inshore wave climate is required to...

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Main Authors: T. Scott, R. J. McCarroll, G. Masselink, B. Castelle, G. Dodet, A. Saulter, A. A. Scaife, N. Dunstone
Format: Article
Language:English
Published: Wiley 2021-05-01
Series:Earth's Future
Subjects:
Online Access:https://doi.org/10.1029/2020EF001625
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author T. Scott
R. J. McCarroll
G. Masselink
B. Castelle
G. Dodet
A. Saulter
A. A. Scaife
N. Dunstone
author_facet T. Scott
R. J. McCarroll
G. Masselink
B. Castelle
G. Dodet
A. Saulter
A. A. Scaife
N. Dunstone
author_sort T. Scott
collection DOAJ
description Abstract Improved understanding of how our coasts will evolve over a range of time scales (years‐decades) is critical for effective and sustainable management of coastal infrastructure. A robust knowledge of the spatial, directional and temporal variability of the inshore wave climate is required to predict future coastal evolution and hence vulnerability. However, the variability of the inshore directional wave climate has received little attention, and an improved understanding could drive development of skillful seasonal or decadal forecasts of coastal response. We examine inshore wave climate at 63 locations throughout the United Kingdom and Ireland (1980–2017) and show that 73% are directionally bimodal. We find that winter‐averaged expressions of six leading atmospheric indices are strongly correlated (r = 0.60–0.87) with both total and directional winter wave power (peak spectral wave direction) at all studied sites. Regional inshore wave climate classification through hierarchical cluster analysis and stepwise multi‐linear regression of directional wave correlations with atmospheric indices defined four spatially coherent regions. We show that combinations of indices have significant skill in predicting directional wave climates (R2 = 0.45–0.8; p < 0.05). We demonstrate for the first time the significant explanatory power of leading winter‐averaged atmospheric indices for directional wave climates, and show that leading seasonal forecasts of the NAO skillfully predict wave climate in some regions.
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spelling doaj.art-cd3752cbe2234ceab5460f51a32d09fa2022-12-22T02:13:30ZengWileyEarth's Future2328-42772021-05-0195n/an/a10.1029/2020EF001625Role of Atmospheric Indices in Describing Inshore Directional Wave Climate in the United Kingdom and IrelandT. Scott0R. J. McCarroll1G. Masselink2B. Castelle3G. Dodet4A. Saulter5A. A. Scaife6N. Dunstone7School of Biological and Marine Sciences University of Plymouth Plymouth UKSchool of Biological and Marine Sciences University of Plymouth Plymouth UKSchool of Biological and Marine Sciences University of Plymouth Plymouth UKUMR EPOC University of Bordeaux/CNRS Bordeaux FranceIFREMER CNRS IRD Laboratoire d'Océanographie Physique et Spatiale IUEM University of Brest Brest FranceUK Met Office Exeter UKUK Met Office Exeter UKUK Met Office Exeter UKAbstract Improved understanding of how our coasts will evolve over a range of time scales (years‐decades) is critical for effective and sustainable management of coastal infrastructure. A robust knowledge of the spatial, directional and temporal variability of the inshore wave climate is required to predict future coastal evolution and hence vulnerability. However, the variability of the inshore directional wave climate has received little attention, and an improved understanding could drive development of skillful seasonal or decadal forecasts of coastal response. We examine inshore wave climate at 63 locations throughout the United Kingdom and Ireland (1980–2017) and show that 73% are directionally bimodal. We find that winter‐averaged expressions of six leading atmospheric indices are strongly correlated (r = 0.60–0.87) with both total and directional winter wave power (peak spectral wave direction) at all studied sites. Regional inshore wave climate classification through hierarchical cluster analysis and stepwise multi‐linear regression of directional wave correlations with atmospheric indices defined four spatially coherent regions. We show that combinations of indices have significant skill in predicting directional wave climates (R2 = 0.45–0.8; p < 0.05). We demonstrate for the first time the significant explanatory power of leading winter‐averaged atmospheric indices for directional wave climates, and show that leading seasonal forecasts of the NAO skillfully predict wave climate in some regions.https://doi.org/10.1029/2020EF001625climate indicescoastal evolutioninshore wave climatelong term predictionseasonal forecastingwave direction
spellingShingle T. Scott
R. J. McCarroll
G. Masselink
B. Castelle
G. Dodet
A. Saulter
A. A. Scaife
N. Dunstone
Role of Atmospheric Indices in Describing Inshore Directional Wave Climate in the United Kingdom and Ireland
Earth's Future
climate indices
coastal evolution
inshore wave climate
long term prediction
seasonal forecasting
wave direction
title Role of Atmospheric Indices in Describing Inshore Directional Wave Climate in the United Kingdom and Ireland
title_full Role of Atmospheric Indices in Describing Inshore Directional Wave Climate in the United Kingdom and Ireland
title_fullStr Role of Atmospheric Indices in Describing Inshore Directional Wave Climate in the United Kingdom and Ireland
title_full_unstemmed Role of Atmospheric Indices in Describing Inshore Directional Wave Climate in the United Kingdom and Ireland
title_short Role of Atmospheric Indices in Describing Inshore Directional Wave Climate in the United Kingdom and Ireland
title_sort role of atmospheric indices in describing inshore directional wave climate in the united kingdom and ireland
topic climate indices
coastal evolution
inshore wave climate
long term prediction
seasonal forecasting
wave direction
url https://doi.org/10.1029/2020EF001625
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