Results 251 to 260 of about 115,694 (298)
Modelling significant wave height in the North Atlantic
The surface of the ocean, and so such quantities as the significant wave height, can be thought of as a random surface in space which develops over time. In this paper, we explore certain types of random fields (in space and time) as models for the significant wave height and fit these models to data obtained from the TOPEX-Poseidon satellite. The data
Baxevani, A., Rychlik, I., Wilson, R. J.
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This study examines the normalized maximum wave height, Hmax = Hmax∕H1∕3, a key parameter in assessing anomalous waves, coastal passenger ship operations. Data from six wave stations along the east coast of the Republic of Korea were used to estimate and
Hong Yeon Cho +4 more
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Assessment and prediction of significant wave height using hybrid CNN-BiLSTM deep learning model for sustainable wave energy in Australia [PDF]
Wave energy is regarded as one of the powerful renewable energy sources and depends on the assessment of significant wave height (Hs) for feasibility. Hence, this study explores the potential of wave energy by assessing and predicting Hs for two study ...
Nawin Raj, Reema Prakash
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Transformation of Significant Wave Heights
Journal of Waterway, Port, Coastal, and Ocean Engineering, 1987A 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
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Estimation of wave height probability based on the statistics of significant wave height
Journal of Ocean Engineering and Marine Energy, 2017The 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
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Modelling bivariate distributions of significant wave height and mean wave period
Applied Ocean Research, 2002The 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.
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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 +4 more
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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 +4 more
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A note on significant wave height
Ocean Engineering, 1996In 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.
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Significant Wave Height for Shallow Water Design
Journal of Waterway, Port, Coastal, and Ocean Engineering, 1985Wave 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
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Predictions of Extreme Values of Significant Wave Height
Volume 2: Safety and Reliability; Pipeline Technology, 2003This 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 +2 more
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