Spatial and temporal wave climate variability along the south coast of Sweden during 1959–2021

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Standard

Spatial and temporal wave climate variability along the south coast of Sweden during 1959–2021. / Adell, Anna; Almström, Björn ; Kroon, Aart; Larson, Magnus; Uvo, Cintia Bertacchi; Hallin, Caroline.

I: Regional Studies in Marine Science, Bind 63, 103011, 2023.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Adell, A, Almström, B, Kroon, A, Larson, M, Uvo, CB & Hallin, C 2023, 'Spatial and temporal wave climate variability along the south coast of Sweden during 1959–2021', Regional Studies in Marine Science, bind 63, 103011. https://doi.org/10.1016/j.rsma.2023.103011

APA

Adell, A., Almström, B., Kroon, A., Larson, M., Uvo, C. B., & Hallin, C. (2023). Spatial and temporal wave climate variability along the south coast of Sweden during 1959–2021. Regional Studies in Marine Science, 63, [103011]. https://doi.org/10.1016/j.rsma.2023.103011

Vancouver

Adell A, Almström B, Kroon A, Larson M, Uvo CB, Hallin C. Spatial and temporal wave climate variability along the south coast of Sweden during 1959–2021. Regional Studies in Marine Science. 2023;63. 103011. https://doi.org/10.1016/j.rsma.2023.103011

Author

Adell, Anna ; Almström, Björn ; Kroon, Aart ; Larson, Magnus ; Uvo, Cintia Bertacchi ; Hallin, Caroline. / Spatial and temporal wave climate variability along the south coast of Sweden during 1959–2021. I: Regional Studies in Marine Science. 2023 ; Bind 63.

Bibtex

@article{cd4c134b2ef64d22b59d3451af5a31c9,
title = "Spatial and temporal wave climate variability along the south coast of Sweden during 1959–2021",
abstract = "This study presents 62 years of hindcast wave climate data for the south coast of Sweden from 1959–2021. The 100-km-long coast consists mainly of sandy beaches and eroding bluffs interrupted by headlands and harbours alongshore, making it sensitive to variations in incoming wave direction. A SWAN wave model of the Baltic Sea, extending from the North Sea to the {\AA}land Sea, was calibrated and validated against wave observations from 16 locations distributed within the model domain. Wave data collected from open databases were complemented with new wave buoy observations from two nearshore locations within the study area at 14 and 15 m depth. The simulated significant wave height showed good agreement with the local observations, with an average R2 of 0.83. The multi-decadal hindcast data was used to analyse spatial and temporal wave climate variability. The results show that the directional distribution of incoming waves varies along the coast, with a gradually increasing wave energy exposure from the west towards the east. The wave climate is most energetic from October to March, with the highest wave heights in November, December, and January. In general, waves from westerly directions dominate the annual wave energy, but within the hindcast time series, a few years had larger wave energy from easterly directions. The interannual variability of total wave energy and wave direction is correlated to the North Atlantic Oscillation (NAO) index. In the offshore, the total annual wave energy had a statistically significant positive correlation with the NAO DJFM station-based index, with a Spearman rank correlation coefficient of 0.51. In the nearshore, the correlation was even stronger. Future studies should investigate the possibility of using the NAO index as a proxy for the wave energy direction and its effect on coastal evolution.",
author = "Anna Adell and Bj{\"o}rn Almstr{\"o}m and Aart Kroon and Magnus Larson and Uvo, {Cintia Bertacchi} and Caroline Hallin",
year = "2023",
doi = "10.1016/j.rsma.2023.103011",
language = "English",
volume = "63",
journal = "Regional Studies in Marine Science",
issn = "2352-4855",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Spatial and temporal wave climate variability along the south coast of Sweden during 1959–2021

AU - Adell, Anna

AU - Almström, Björn

AU - Kroon, Aart

AU - Larson, Magnus

AU - Uvo, Cintia Bertacchi

AU - Hallin, Caroline

PY - 2023

Y1 - 2023

N2 - This study presents 62 years of hindcast wave climate data for the south coast of Sweden from 1959–2021. The 100-km-long coast consists mainly of sandy beaches and eroding bluffs interrupted by headlands and harbours alongshore, making it sensitive to variations in incoming wave direction. A SWAN wave model of the Baltic Sea, extending from the North Sea to the Åland Sea, was calibrated and validated against wave observations from 16 locations distributed within the model domain. Wave data collected from open databases were complemented with new wave buoy observations from two nearshore locations within the study area at 14 and 15 m depth. The simulated significant wave height showed good agreement with the local observations, with an average R2 of 0.83. The multi-decadal hindcast data was used to analyse spatial and temporal wave climate variability. The results show that the directional distribution of incoming waves varies along the coast, with a gradually increasing wave energy exposure from the west towards the east. The wave climate is most energetic from October to March, with the highest wave heights in November, December, and January. In general, waves from westerly directions dominate the annual wave energy, but within the hindcast time series, a few years had larger wave energy from easterly directions. The interannual variability of total wave energy and wave direction is correlated to the North Atlantic Oscillation (NAO) index. In the offshore, the total annual wave energy had a statistically significant positive correlation with the NAO DJFM station-based index, with a Spearman rank correlation coefficient of 0.51. In the nearshore, the correlation was even stronger. Future studies should investigate the possibility of using the NAO index as a proxy for the wave energy direction and its effect on coastal evolution.

AB - This study presents 62 years of hindcast wave climate data for the south coast of Sweden from 1959–2021. The 100-km-long coast consists mainly of sandy beaches and eroding bluffs interrupted by headlands and harbours alongshore, making it sensitive to variations in incoming wave direction. A SWAN wave model of the Baltic Sea, extending from the North Sea to the Åland Sea, was calibrated and validated against wave observations from 16 locations distributed within the model domain. Wave data collected from open databases were complemented with new wave buoy observations from two nearshore locations within the study area at 14 and 15 m depth. The simulated significant wave height showed good agreement with the local observations, with an average R2 of 0.83. The multi-decadal hindcast data was used to analyse spatial and temporal wave climate variability. The results show that the directional distribution of incoming waves varies along the coast, with a gradually increasing wave energy exposure from the west towards the east. The wave climate is most energetic from October to March, with the highest wave heights in November, December, and January. In general, waves from westerly directions dominate the annual wave energy, but within the hindcast time series, a few years had larger wave energy from easterly directions. The interannual variability of total wave energy and wave direction is correlated to the North Atlantic Oscillation (NAO) index. In the offshore, the total annual wave energy had a statistically significant positive correlation with the NAO DJFM station-based index, with a Spearman rank correlation coefficient of 0.51. In the nearshore, the correlation was even stronger. Future studies should investigate the possibility of using the NAO index as a proxy for the wave energy direction and its effect on coastal evolution.

U2 - 10.1016/j.rsma.2023.103011

DO - 10.1016/j.rsma.2023.103011

M3 - Journal article

VL - 63

JO - Regional Studies in Marine Science

JF - Regional Studies in Marine Science

SN - 2352-4855

M1 - 103011

ER -

ID: 347103874