A Third-Generation Spectral Wave Model Using an Unstructured Finite Volume Technique

Sørensen, Ole R.; Kofoed‐Hansen, Henrik; Rugbjerg, Morten; Sørensen, Lene Tolstrup

doi:10.1142/9789812701916_0071

Cited by 59 publications

(49 citation statements)

References 17 publications

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“…The ocean wave model used is the MIKE 21 SW (Sørensen et al, 2004;MIKEbyDHI, 2012). It is a third generation spectral wind-wave model based on unstructured grid and solves the wave action density equation, where it accounts for the wave growth, wave energy dissipation due to white-capping, bottom friction and depth as well as the non-linear wave-wave interaction.…”

Section: Wave Modelmentioning

confidence: 99%

The Effects of Sea Spray and Atmosphere–Wave Coupling on Air–Sea Exchange during Tropical Cyclone

Garg¹,

Ng²,

Srikanth³

2017

Preprint

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Abstract. The study investigates the role of air-sea interface using numerical simulations of an Atlantic Hurricane Arthur (2014). More specifically, present study aims to discern the role ocean surface waves and sea spray play in modulating the intensity and structure of a tropical cyclone (TC). To investigate the effects of ocean surface waves and sea spray, numerical simulations were carried out using a coupled atmosphere-wave model where a sea spray microphysical model was incorporated within the coupled model. Furthermore, this study also explores how sea spray generation can be modelled using wave energy 5 dissipation due to whitecaps, where whitecaps are considered as the primary mode of spray droplets generation at hurricane intensity wind speeds. Three different numerical simulations including sea state dependent momentum flux, sea spray mediated heat flux and combination of former two processes with sea spray mediated momentum flux were conducted. The foregoing numerical simulations were evaluated against the National Data Buoy Center (NDBC) buoy and satellite altimeter measurements as well as a control simulation using an uncoupled atmosphere model. The results indicate that the model simulations 10 were able to capture the storm track and intensity, where the surface wave coupling results in a stronger TC. Moreover, it is also noted that when only spray mediated heat fluxes are applied in conjunction with sea state dependent momentum flux, they result in a slightly weaker TC, albeit stronger compared to the control simulation. However, when spray mediated momentum flux is applied together with spray heat fluxes, it results in a comparably stronger TC. The results presented here alludes to the role surface friction plays in intensification of a TC.

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Section: Wave Modelmentioning

confidence: 99%

The Effects of Sea Spray and Atmosphere–Wave Coupling on Air–Sea Exchange during Tropical Cyclone

Garg¹,

Ng²,

Srikanth³

2017

Preprint

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“…A. Battjes and J. P. F. M. Janssen, n.d.) and (Eldeberky and Battjes, 1996) are used in order to describe the bottom-induced wave breaking. The other phenomena which we mentioned them as our final result are presented in (OLE R. SØRENSEN et al, 2005). In order to run the model, we used 10 minutes' intervals which are enough to recognize changes in SWH.…”

Section: Proposed Methodsmentioning

confidence: 99%

Wind Wave Numerical Modeling in the Caspian Sea

Mahmoodi

Ardalan

Hasanlou

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Numerical simulation results of wind wave in the Caspian Sea by using wind forcing data are presented. The numerical modeling which is applied in this study is based on numerical spectral wave model which is based on Navier-Stokes equations. It solves these equations through each of mesh elements. Moreover, in this model high-resolution unstructured grid for the Caspian Sea has been used in order to reach finer accuracy. The wind forcing data are given from European Centre for Medium-Range Weather Forecasts (ECMWF). The measurement data, which are gained from Ports and Marine Organisation (PMO) of Iran, are used in order to estimate the accuracy of the model. The results have shown better accuracy in comparison with PMO simulation. Mean of the coefficient of determination (R-squared) for significant wave height in this simulation is 0.8059, though, in PMO simulation this coefficient is reported 0.7056. Better accuracy requires more measurement data and also finer resolution of bathymetry data.

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“…More details on the numerical algorithms and discretisation can be found in (Christensen et al, 2013;Sørensen et al, 2004).…”

Section: The Implementation In a Spectral Wind Wave Modelmentioning

confidence: 99%

Impact of an Offshore Wind Farm on Wave Conditions and Shoreline Development

Christensen¹,

Kristensen²,

Deigaard³

2014

Int. Conf. Coastal. Eng.

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The influence of offshore wind farms on the wave conditions and impact on shoreline development is studied in a generic set-up of a coast and a shoreline. The objective was to estimate the impact of a typical sized offshore wind farm on a shoreline in a high wave energetic environment. Especially the shoreline's sensitivity to the distance from the OWF to the shoreline was studied. The effect of the reduced wind speed inside and on the lee side of the offshore wind farm was incorporated in a parameterized way in a spectral wind wave model. The shoreline impact was studied with a one-line model.

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A Third-Generation Spectral Wave Model Using an Unstructured Finite Volume Technique

Cited by 59 publications

References 17 publications

The Effects of Sea Spray and Atmosphere–Wave Coupling on Air–Sea Exchange during Tropical Cyclone

The Effects of Sea Spray and Atmosphere–Wave Coupling on Air–Sea Exchange during Tropical Cyclone

Wind Wave Numerical Modeling in the Caspian Sea

Impact of an Offshore Wind Farm on Wave Conditions and Shoreline Development

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