Changes in significant and maximum wave heights in the Norwegian Sea

Feng, Xiangbo; Tsimplis, Michael; Yelland, Margaret J.; Quartly, Graham D.

doi:10.1016/j.gloplacha.2013.12.010

Cited by 16 publications

(9 citation statements)

References 47 publications

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“…These findings extend the results found by Woolf et al (), Tsimplis et al (), Dodet et al (), Charles et al () and Feng et al (, ) and confirm the impact of the NAO and EA modes on SWH, MWP and MWD for both wind‐sea and swell component in the various areas of the North Atlantic. Our results are also in good agreement with Shimura et al (), who reported the correlation patterns over the North Atlantic between winter SWH and the same four climate indices, although for a different period (1960–1990).…”

Section: Discussionsupporting

confidence: 91%

Response of the North Atlantic wave climate to atmospheric modes of variability

Martínez‐Asensio

Tsimplis

Marcos

et al. 2015

Intl Journal of Climatology

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This study investigates the relationship between the wind wave climate and the main climate modes of atmospheric variability in the North Atlantic Ocean. The modes considered are the North Atlantic Oscillation (NAO), the East Atlantic (EA) pattern, the East Atlantic Western Russian (EA/WR) pattern and the Scandinavian (SCAN) pattern. The wave dataset consists of buoys records, remote sensing altimetry observations and a numerical hindcast providing significant wave height (SWH), mean wave period (MWP) and mean wave direction (MWD) for the period 1989-2009. After evaluating the reliability of the hindcast, we focus on the impact of each mode on seasonal wave parameters and on the relative importance of wind-sea and swell components. Results demonstrate that the NAO and EA patterns are the most relevant, whereas EA/WR and SCAN patterns have a weaker impact on the North Atlantic wave climate variability. During their positive phases, both NAO and EA patterns are related to winter SWH at a rate that reaches 1 m per unit index along the Scottish coast (NAO) and Iberian coast (EA) patterns. In terms of winter MWD, the two modes induce a counterclockwise shift of up to 65 ∘ per negative NAO (positive EA) unit over west European coasts. They also increase the winter MWP in the North Sea and in the Bay of Biscay (up to 1 s per unit NAO) and along the western coasts of Europe and North Africa (1 s per unit EA). The impact of winter EA pattern on all wave parameters is mostly caused through the swell wave component.

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Section: Discussionsupporting

confidence: 91%

Response of the North Atlantic wave climate to atmospheric modes of variability

Martínez‐Asensio

Tsimplis

Marcos

et al. 2015

Intl Journal of Climatology

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“…Since past historical data records often provide just data sampled at 3 or 6 hour intervals, the estimation of high return time wave heights can be seriously biased, as compared with high density data -half an hour or less: an application which is of growing importance as wave climate changes are being investigated (Feng et al 2014b;Passaro et al 2015;Liang et al 2016). A method has been supplied to estimate such a bias, and to compute Significant Wave Heights as a function of the return period.…”

Section: Resultsmentioning

confidence: 99%

Sampling Bias in the Estimation of Significant Wave Height Extreme Values

Dentale

Reale

D’Alessandro

et al. 2017

Int. Conf. Coastal. Eng.

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It has been shown before, and it is intuitively evident, that in a Significant Wave Height (SWH) time series, the longer the sampling interval, the lower is the number of events which are above a given threshold value. As a consequence, the use of data with a low time resolution (such as a 3 h sampling, for instance) causes a considerable undervaluation of the extreme SWH values for a given return time RT. In this paper an example of such a bias is provided, and a method is suggested to estimate it on a regional basis. Results may help to improve the use of historical wave meters data which were often collected with a low time resolution, and may also provide a tool to improve the application of Numerical Meteo-Wave models to the evaluation of extremes.

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“…Similar downward trend in extreme SWH was also observed off the west coast of Canada (Menendez et al, 2008). Moreover, in the North Sea and Gulf of Alaska, the long-term trend in the extreme SWH was also significant (Feng et al, 2014a;2014b;Menedez et al, 2008;Yao et al,2017). However, maybe due to the sparseness and less threat to coastal communities, the downward trends of the extreme SWH were not been paid much attention around the globe.…”

Section: Long-term Variability In Return Level Of Extreme Swhmentioning

confidence: 99%

Changes in significant and maximum wave heights in the Norwegian Sea

Abstract: This paper analyses 10 years of in--situ measurements of significant wave height

Cited by 16 publications

References 47 publications

Response of the North Atlantic wave climate to atmospheric modes of variability

Response of the North Atlantic wave climate to atmospheric modes of variability

Sampling Bias in the Estimation of Significant Wave Height Extreme Values

Dependence of ocean wave return levels on water depth and sampling length: A focus on the South Yellow Sea

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