2019
DOI: 10.1016/j.ecss.2019.04.010
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Extreme wave statistical methods and implications for coastal analyses

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Cited by 22 publications
(20 citation statements)
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References 26 publications
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“…A cyclone genesis and tracking algorithm [66] is applied to the entire 40-year record of 700 hPa relative vorticity (RV) global fields and the closest cyclones to each LA centroid at the time of the annual maximum wind speeds are identified. The locations of the cyclones at three hourly intervals are identified using the local maxima anomalies spectrally filtered fields of relative vorticity (see full details in [67]).…”
Section: Cyclone Genesis and Trackingmentioning
confidence: 99%
“…A cyclone genesis and tracking algorithm [66] is applied to the entire 40-year record of 700 hPa relative vorticity (RV) global fields and the closest cyclones to each LA centroid at the time of the annual maximum wind speeds are identified. The locations of the cyclones at three hourly intervals are identified using the local maxima anomalies spectrally filtered fields of relative vorticity (see full details in [67]).…”
Section: Cyclone Genesis and Trackingmentioning
confidence: 99%
“…Univariate or bivariate extreme value analysis methods are utilized; Peak-overthreshold (POT) is univariate method for the n-year wave definition, while environmental contour is a bivariate approach considering the joint distribution of wave height and period to characterize the environmental conditions. The available univariate and bivariate methods for extreme sea states characterization are reviewed in [10]. High quality data sources of environmental conditions are required for the extreme value analysis.…”
Section: Introductionmentioning
confidence: 99%
“…In order to ensure that offshore and coastal structures are reliable both in terms of structure and economic viability, it is of paramount importance to accurately estimate the behavior of the extreme values of the involved environmental variables during the design process and risk assessment. The literature on extreme value modeling of wave parameters is rich; e.g., [16][17][18]. Typical wave parameters that are analyzed in the context of extreme value analysis through statistical approaches are wave height and wave period, which are mainly obtained through long-term (of the order of 30 years or more) hindcast databases and measurements with constant statistical properties in time.…”
Section: Directional Extreme Wave Data Analysis At Offshore and Nearsmentioning
confidence: 99%