Wave climate off northern Norway

Haver, Sverre

doi:10.1016/0141-1187(85)90038-0

Cited by 132 publications

(59 citation statements)

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“…This law although is able to model well the tail of the distribution, often fails to represent the whole distribution [Ferreira and Guedes Soares, 2000]. An approach adopted in many cases is to use only the low probability part of the data to fit the Weibull distribution [Guedes Soares, 1986;Boccotti, 2000] or even to combine a Weibull for the low probability region with a log-normal distribution for the high probability one, as proposed by Haver [1985].…”

Section: Long-term Distribution Of Significant Wave Heightmentioning

confidence: 99%

Return period of nonlinear high wave crests

Arena

Pavone

2006

J. Geophys. Res.

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[1] This paper deals with the long-term statistics for extreme nonlinear crest heights. First, a new analytical solution for the return period R(h), of a sea storm in which the maximum nonlinear crest height exceeds a fixed threshold h, is obtained by applying the 'Equivalent Triangular Storm' model and a second-order crest height distribution. The probability P(h c max > hj[0, L]) that maximum nonlinear crest height in the time span L exceeds a fixed threshold is then derived from R(h) solution, assuming that the occurrence of storms with highest crest larger than h is given by a Poisson process. In the applications, both R(h) and P(h c max > hj[0, L]) are calculated for some locations. It is shown that narrowband second-order approach is slightly conservative, with respect to the more general condition of crest distribution for second-order three-dimensional waves. Finally, a comparison with Boccotti, Jasper and Krogstad models is presented.

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Section: Long-term Distribution Of Significant Wave Heightmentioning

confidence: 99%

Return period of nonlinear high wave crests

Arena

Pavone

2006

J. Geophys. Res.

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“…A model based on the marginal distribution of H s and conditional distributions of T z (or T p ) is an intuitive one that increases the flexibility of modelling and has been adopted by Haver (1985), Guedes Soares et al (1988), and Bitner-Gregersen and Haver (1989).…”

Section: Introductionmentioning

confidence: 99%

Bivariate distributions of significant wave height and mean wave period of combined sea states

Lucas

Soares

2015

Ocean Engineering

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“…So, while the mostly static coastal and offshore structures require long term and extreme distributions of significant wave height (e.g., Ferreira and Guedes Soares, 2000;Scotto, 2001, 2004) floating structures require bivariate distributions of significant wave heights (H s ) and characteristic (mean or peak) periods (Bitner-Gregersen et al, 1998;Ferreira and Guedes Soares, 2002;Haver, 1985). Significant wave height (H s ) and associated peak period (T p ) are important wave parameters that determine the characteristics of the wave energy spectrum, which is used for assessing the response spectrum to be considered in long term formulations (Guedes Soares and Moan, 1991).…”

Section: Introductionmentioning

confidence: 99%