Results 211 to 220 of about 111,141 (260)

Modelling distributions of significant wave height

Coastal Engineering, 2000
Abstract The paper discusses the use of distribution functions in the description of the long-term behaviour of significant wave height data. It is shown by an example that the usual goodness-of-fit diagnostics do not ensure correct predictions of return values based on arbitrary statistical models.
J.A. Ferreira, C. Guedes Soares
exaly   +2 more sources

Transformation of Significant Wave Heights

Journal of Waterway, Port, Coastal, and Ocean Engineering, 1987
A formula for transforming significant wave heights of wind seas between locations of differing depths is developed from the concept of the equilibrium range in the spectrum. The transformation is assumed valid for single‐peaked equilibrium wind seas which do not contain swell components.
Steven A. Hughes, Herman C. Miller
openaire   +1 more source

Estimation of wave height probability based on the statistics of significant wave height

Journal of Ocean Engineering and Marine Energy, 2017
The problems of extreme wave detection and their probability are discussed. The sea waves’ statistics are investigated on the basis of two data sets: the first set is calculated as a superposition of linear waves with realistic spectrum, while the second one is generated in the course of ensemble modeling of wave field based on three-dimensional, full ...
Dmitry Chalikov, Kirill Bulgakov
openaire   +1 more source

Spatio‐temporal statistical modelling of significant wave height

Environmetrics, 2008
AbstractIn this paper, we construct a homogeneous spatio‐temporal model to describe the variability of significant wave height over small regions of the sea and over short periods of time. Then, the model is extended to a non‐homogeneous one that is valid over larger areas of the sea and for time periods of up to 10 h.
Baxevani, Anastassia, Caires, Sofia, Rychlik, I., Baxevani, Anastassia, Caires, Sofia, Rychlik, I.   +5 more
openaire   +2 more sources

Modelling bivariate distributions of significant wave height and mean wave period

Applied Ocean Research, 2002
The use and scope of bivariate parametric probability distribution functions in the joint modelling of significant wave height and mean zero-upcrossing period are discussed. It is suggested that, for some applications, the calculation of probabilities can be made with kernel density estimates, instead of adopting parametric models.
Ferreira, J.A., Guedes Soares, C.
openaire   +1 more source

Modelling significant wave height distributions with quantile functions for estimation of extreme wave heights

Ocean Engineering, 2012
Abstract This paper starts by introducing extreme wave height analysis using quantile functions, which are an alternative to the classical approaches to model long term maxima or extreme values. The long-term distribution of significant wave heights from four locations are modelled with Davies, 3-parameter Weibull, generalized extreme value ( GEV ...
G. Muraleedharan, Cláudia Lucas, C. Guedes Soares, N. Unnikrishnan Nair, P.G. Kurup   +4 more
openaire   +1 more source

A note on significant wave height

Ocean Engineering, 1996
In this note conservative bounds for significant crest height and amplitude obtained from the crossing intensity of a sea are presented. For Gaussian models of a sea level, the Rayleigh approximation for the distributions of amplitude and crest height is proved to provide conservative values for the expected significant wave characteristics.
openaire   +1 more source

Significant Wave Height for Shallow Water Design

Journal of Waterway, Port, Coastal, and Ocean Engineering, 1985
Wave height parameters used in coastal and ocean engineering are grouped into three classes according to their definition bases: height statistics, energy, and monochromatic. Parameters within each class are easily interrelated for most engineering purposes.
Edward F. Thompson, C. L. Vincent
openaire   +1 more source

Predictions of Extreme Values of Significant Wave Height

Volume 2: Safety and Reliability; Pipeline Technology, 2003
This paper provides an overview of different methods of extrapolating environmental data to low probability levels based on the extreme value theory. It discusses the Annual Maxima method and the Peak Over Threshold method, using unified terminology and notation.
C. Guedes Soares, R. G. Ferreira, Manuel G. Scotto   +2 more
openaire   +1 more source