2016
DOI: 10.1680/jmaen.15.00006
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Present-day use of an empirical wave prediction method

Abstract: Knowledge of the offshore wave climate is key to the design of coastal engineering structures and to the study of shoreline evolution. To date, the available wave data have been limited both in time and space; even though there are several options for obtaining wave data calculated using complex numerical models at basin scale, design issues can in some cases be solved by means of simpler models. This paper shows whether, under certain conditions and in an enclosed basin, an old empirical model can provide res… Show more

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Cited by 4 publications
(2 citation statements)
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References 17 publications
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“…For the estimation of the return period of the energy flux (P) of each storm class, the probability of exceedance was fitted with a modification of the Weibull Cumulative Distribution Function (CDF) described in [23,31]:…”
Section: The Return Period Of the Energy Flux Of Stormsmentioning
confidence: 99%
See 1 more Smart Citation
“…For the estimation of the return period of the energy flux (P) of each storm class, the probability of exceedance was fitted with a modification of the Weibull Cumulative Distribution Function (CDF) described in [23,31]:…”
Section: The Return Period Of the Energy Flux Of Stormsmentioning
confidence: 99%
“…where w and u parameters that depend on the location under examination. Using the auxiliary variables X = 100 · ln(2.5 · P) and Y = 100 · ln [ln (1/F(P))] [23,31], in the coordinate system X, Y, the data points should lie on a straight line. Thus, the parameters of Equation (3) can be easily estimated by fitting those data points by means of the least-squares method.…”
Section: The Return Period Of the Energy Flux Of Stormsmentioning
confidence: 99%