Numerical Wave Modelling – A Review☆
T. Justin Thomas,G.S. Dwarakish +1 more
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TLDR
An overview of the development of the numerical wave modelling techniques that are used is presented in this article, where development of numerical models, uses and steps taken to improve the accuracy of their numerical models are discussed.About:
This article is published in Aquatic Procedia.The article was published on 2015-01-01 and is currently open access. It has received 63 citations till now. The article focuses on the topics: Wind wave model & Hindcast.read more
Citations
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Computational intelligence in wave energy: Comprehensive review and case study
TL;DR: This paper reviews those used in wave energy applications, both in the resource estimation and in the design and control of wave energy converters, and illustrates the potential of hybridizing a Coral Reefs Optimization algorithm with an Extreme Learning Machine to tackle the problem of significant wave height reconstruction.
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Ocean wave height prediction using ensemble of Extreme Learning Machine
TL;DR: From this study, it is inferred that the Ens-ELM out performs ELM, Online Sequential ELM (OS- ELM), and Support Vector Regression (SVR) in the daily wave height prediction.
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Wind forcing effect on hindcasting of typhoon-driven extreme waves
TL;DR: In this paper, the authors evaluated the performance of wave height forecasting for typhoon-generated significant wave heights (SWHs) on the northeastern coast of Taiwan using different wind fields and a fully coupled tide-surge wave model.
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Numerical Simulation of Wind and Wave Fields for Coastal Slender Bridges
TL;DR: In this article, the authors presented a numerical scheme to simulate the nonstationary wind and wave fields around a coastal slender bridge during hurricane events that also can be used in bridge-wind-wave (BWW) system dynamic analyses.
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Synergy of wind wave model simulations and satellite observations during extreme events
Anne Wiese,Joanna Staneva,Johannes Schulz-Stellenfleth,Arno Behrens,Luciana Fenoglio-Marc,Jean-Raymond Bidlot +5 more
TL;DR: In this article, the wave data provided by the new Sentinel-3A satellite is evaluated and the sensitivity of the wave model to wind forcing is tested using data with different temporal and spatialresolution, such as ERA-Interim and ERA5 reanalyses, the European Centre for Medium-Range Weather Forecasts (ECMWF) operational analysis and short-range forecast, German Weather Service (DWD) forecasts and regional atmospheric model simulations (coastDat).
References
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A third‐generation wave model for coastal regions: 2. Verification
TL;DR: In this article, a third-generation spectral wave model for small-scale, coastal regions with shallow water, (barrier) islands, tidal flats, local wind, and ambient currents is verified in stationary mode with measurements in five real field cases.
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Progress in ocean wave forecasting
TL;DR: The formulation of the physics source functions and the numerical scheme that is used to solve the energy balance equation are discussed and the promising new development of the forecasting of extreme events is discussed.
Journal ArticleDOI
Numerical Simulation of Sea Surface Directional Wave Spectra under Hurricane Wind Forcing
TL;DR: In this article, a numerical simulation of sea surface directional wave spectra under hurricane wind forcing was carried out using a high-resolution wave model for four days as Hurricane Bonnie (1998) approached the U.S. East Coast.
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Treatment of unresolved islands and ice in wind wave models
TL;DR: In this paper, a method based on a technique used in the SWAN model to deal with unresolved islands is presented, which is tested in the operational global WAVEWATCH III model of the National Centers for Environmental Prediction with a one year hindcast, and results show a local but dramatic impact on model errors.
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Numerical modelling to estimate the spatial distribution of the wave energy in the Portuguese nearshore
Eugen Rusu,C. Guedes Soares +1 more
TL;DR: In this article, the wave energy spatial distribution in the Portuguese nearshore is analyzed based on buoy measurements covering the 10-year period 1994-2003, and a wave prediction system based on two state-of-the-art spectral models, WAM and SWAN, was used to evaluate the wave conditions.
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