On the development and verification of a 2-D coupled wave-current model on unstructured meshes

Roland, Aron; Cucco, Andrea; Ferrarin, Christian; Hsu, Tai‐Wen; Liau, Jian-Ming; Ou, Shan‐Hwei; Umgiesser, Georg; Zanke, Ulrich

doi:10.1016/j.jmarsys.2009.01.026

Cited by 107 publications

(78 citation statements)

References 29 publications

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“…Weber et al (2006) estimated that the wave induced stress is about 50 % of the total atmospheric stress for moderate to strong wind. Wolff et al (2011) studied the effects of waves on hydrodynamics; Brown et al (2013) considered the wave effects on the storm surges; and Roland et al (2009) studied wave effects on water level for the Adriatic Sea. The importance of ocean depth and velocity variations for the simulated waves in the estuaries is analysed by Pleskachevsky et al (2011) and Lin and Pierre (2003).…”

Section: Introductionmentioning

confidence: 99%

Coupling of wave and circulation models in coastal–ocean predicting systems: a case study for the German Bight

Staneva¹,

Wahle²,

Günther³

et al. 2016

Ocean Sci.

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Abstract. This study addresses the impact of coupling between wave and circulation models on the quality of coastal ocean predicting systems. This is exemplified for the German Bight and its coastal area known as the Wadden Sea. The latter is the area between the barrier islands and the coast. This topic reflects the increased interest in operational oceanography to reduce prediction errors of state estimates at coastal scales, which in many cases are due to unresolved non-linear feedback between strong currents and wind waves. In this study we present analysis of wave and hydrographic observations, as well as results of numerical simulations. A nestedgrid modelling system is used to produce reliable nowcasts and short-term forecasts of ocean state variables, including waves and hydrodynamics. The database includes ADCP observations and continuous measurements from data stations. The individual and combined effects of wind, waves and tidal forcing are quantified. The performance of the forecast system is illustrated for the cases of several extreme events. The combined role of wave effects on coastal circulation and sea level are investigated by considering the wavedependent stress and wave breaking parameterization. Also the response, which the circulation exerts on the waves, is tested for the coastal areas. The improved skill of the coupled forecasts compared to the non-coupled ones, in particular during extreme events, justifies the further enhancements of coastal operational systems by including wave effects in circulation models.

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Section: Introductionmentioning

confidence: 99%

Coupling of wave and circulation models in coastal–ocean predicting systems: a case study for the German Bight

Staneva¹,

Wahle²,

Günther³

et al. 2016

Ocean Sci.

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“…WAE describe the net source terms defined by the energy input due to wind, the nonlinear interaction in deep and shallow water, the energy dissipation due to white capping and depth induced wave breaking and the energy dissipation due to bottom friction. A comprehensive description of the numeric is found in Roland et al 2009.…”

Section: Numerical Modelmentioning

confidence: 99%

Beaches Morphological Variability Along a Complex Coastline (Sinis Peninsula, western Mediterranean Sea).

Simeone

Falco

Quattrocchi

et al. 2016

Journal of Coastal Research

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“…WW3 is a third generation spectral wave model based on the conservation equation for the density of wave action. The propagation scheme used in this configuration is an explicit propagation for unstructured grid (ROLAND, 2008;ROLAND et al, 2009). The use of unstructured meshes permits to adapt the grid resolution at different scales in the same computational domain, from the coastal zone (refined mesh of ~ 200m) to offshore (mesh ~ 10km).…”

Section: Long Term Numerical Dataset (Ltnd)mentioning

confidence: 99%

Measure-Correlate-Predict techniques to improve long term numerical datasets: application to wave potential estimate

Kervella¹,

Demagny²,

Batifoulier³

2016

XIVèmes Journées, Toulon

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Abstract:Many long-term numerical databases (LTND) are distributed by research centers from various countries (like Previmer, NCEP, ..). These LTND usually provide integrated wave parameters which enable the computation of operational and also extreme statistics thanks to their duration (generally between 10 and 30 years). Although these LTND are validated in several places, it is rarely the case at your location of interest and therefore data extracted from a LTND doesn't necessarily offer the best results at this point. Nevertheless, it is possible to improve the results of these LTND in a "post-processing" step, ie without re-running the numerical simulations with data assimilation. This paper will present different techniques of Measure-Correlate-Predict (MCP) to improve the results of these LTND using in-situ data. Some of these techniques are then implemented to modify a long-term wave database in northern Bay of Biscay in France. The effect of this change is evaluated in terms of significant wave heights and wave peak period, and also in term of theoretical wave energy potential calculated using the deep waters and JONSWAP approximations, by comparing the obtained results with insitu measurements. A discussion is then opened on the way of propagating these local corrections and on the way of making it on larger spatial extents and on different physical types of LTND (wave, current, wind), thanks to the Metocean Analytics software (http://www. openocean.fr/en/metocean-analytics/).

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On the development and verification of a 2-D coupled wave-current model on unstructured meshes

Cited by 107 publications

References 29 publications

Coupling of wave and circulation models in coastal–ocean predicting systems: a case study for the German Bight

Coupling of wave and circulation models in coastal–ocean predicting systems: a case study for the German Bight

Beaches Morphological Variability Along a Complex Coastline (Sinis Peninsula, western Mediterranean Sea).

Measure-Correlate-Predict techniques to improve long term numerical datasets: application to wave potential estimate

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