The Spectral Wave Climate in the Barents Sea

Lopatoukhin, Leonid J.; Rozhtov, Valentine; Boukhanovsky, Alexander V.; Degtyarev, Anatoli; Saskov, K.; Athanassoulis, G. A.; Stefanakos, Christos; Krogstad, Harald E.

doi:10.1115/omae2002-28397

Cited by 12 publications

(8 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lopatoukhin et al [19] adopted another technique for parameterization of directional spectra on the basis of the Burling spectral approximation and computed climatic wave spectra for the Barents, Black and some other seas based on this technique [20][21][22][23][24]. Torsethaugen [25] proposed the set of parametrical double-peaked spectrum model on the basis JONSWAP and Pierson-Moskowitz approximations of the peaks on the basis of North Sea data.…”

Section: Introductionmentioning

confidence: 99%

Spectral wave climate of the North Sea

Boukhanovsky

Lopatoukhin

Soares

2007

Applied Ocean Research

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Spectral wave climate of the North Sea

Boukhanovsky

Lopatoukhin

Soares

2007

Applied Ocean Research

View full text Add to dashboard Cite

“…Extreme wave events can be defined as waves with a height above a threshold such as a percentile (e.g., 95th, 99th) of the entire wave height record. To identify extreme events, a widely used method is the peaks-over-threshold (POT) method implemented by [20,21,[32][33][34][35]. The POT method identifies extreme wave events based on two parameters, including an extreme wave height threshold (hereafter H thresh ) and a timespan between independent consecutive extreme events (hereafter D indep ).…”

Section: Extreme Wave Event Detectionmentioning

confidence: 99%

A Multidecadal Assessment of Mean and Extreme Wave Climate Observed at Buoys off the U.S. East, Gulf, and West Coasts

Jamous

Marsooli

2023

JMSE

View full text Add to dashboard Cite

The current understanding of wind-generated wave climate from buoy-based measurements is mainly focused on a limited number of locations and has not been updated to include measurements in the past decade. This study quantifies wave climate variability and change during the historical period of 1980–2020 through a comprehensive analysis of wave height measurements at 43 buoys off the U.S. Pacific, Atlantic, and Gulf of Mexico Coasts. Variabilities and trends in the annual and monthly mean and 95th percentile significant wave heights (SWH) and the number of extreme wave events are quantified for the cold and warm seasons. We calculate the SWH long-term and decadal trends, and temporal variabilities using the ordinary least squares regression and coefficient of variation, respectively. Independent extreme wave events are identified using a method based on the peaks-over-threshold and the autocorrelation function, which accounts for the geographical variation in the timespan between independent extreme events. Results show that the warm season’s interannual variabilities in monthly and annual SWH are smaller in the Pacific while larger in the Atlantic and Gulf, with the largest variabilities observed at buoys in the Gulf and lower latitudes of the Atlantic. Strong significant alternating decadal trends in SWH are found in the Pacific and Atlantic regions. Buoys in the Atlantic and Gulf regions have experienced higher numbers of extreme wave events (anomalies) compared to the Pacific region. In general, the long-term trend in the number of extreme events during the cold season is positive at buoys located at higher latitudes but negative at lower latitudes.

show abstract

“…Also, the wave heights of 1% and 3% probability of exceedance (it mean that 1% of the single waves are higher than 99% other waves during the 15 min period) were used for the data analysis. These values were calculated as 1.51 × SWH and 1.32 × SWH, respectively [49,50]. SWH and wave height with other probability calculated in the model for 15 min integration interval.…”

Section: Wave Modelingmentioning

confidence: 99%

“…The storm activity analysis was held according to the Peak Over Threshold (POT) method, which is widely used [1,2,50]. The essence of the POT method is to find an extreme values of some sample that exceeds a certain threshold value.…”

Section: Recurrence Of the Storm Wave Eventsmentioning

confidence: 99%

Thirty-Nine-Year Wave Hindcast, Storm Activity, and Probability Analysis of Storm Waves in the Kara Sea, Russia

Myslenkov

Platonov

Kislov

et al. 2021

Water

View full text Add to dashboard Cite

The recurrence of extreme wind waves in the Kara Sea strongly influences the Arctic climate change. The period 2000–2010 is characterized by significant climate warming, a reduction of the sea ice in the Arctic. The main motivation of this research to assess the impact of climate change on storm activity over the past 39 years in the Kara Sea. The paper presents the analysis of wave climate and storm activity in the Kara Sea based on the results of numerical modeling. A wave model WAVEWATCH III is used to reconstruct wind wave fields for the period from 1979 to 2017. The maximum significant wave height (SWH) for the whole period amounts to 9.9 m. The average long-term SWH for the ice-free period does not exceed 1.3 m. A significant linear trend shows an increase in the storm wave frequency for the period from 1979 to 2017. It is shown that trends in the storm activity of the Kara Sea are primarily regulated by the ice. Analysis of the extreme storm events showed that the Pareto distribution is in the best agreement with the data. However, the extreme events with an SWH more than 6‒7 m deviate from the Pareto distribution.

show abstract

The Spectral Wave Climate in the Barents Sea

Cited by 12 publications

References 3 publications

Spectral wave climate of the North Sea

Spectral wave climate of the North Sea

A Multidecadal Assessment of Mean and Extreme Wave Climate Observed at Buoys off the U.S. East, Gulf, and West Coasts

Thirty-Nine-Year Wave Hindcast, Storm Activity, and Probability Analysis of Storm Waves in the Kara Sea, Russia

Contact Info

Product

Resources

About