Performance evaluation of Wavewatch III in the Mediterranean Sea

Mentaschi, Lorenzo; Besio, Giovanni; Cassola, Federico; Mazzino, Andrea

doi:10.1016/j.ocemod.2015.04.003

Cited by 180 publications

(122 citation statements)

References 41 publications

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“…A more complete analysis could be achieved through use of either data collected by another waverider (e.g., that of Cesenatico, FC, which is ∼ 80 km north of Senigallia) or model hindcasts (e.g., Mentaschi et al, 2015), with the aim to characterize the wave forcing during further time periods, after a proper data validation. Although global reanalysis or numerical modeling may provide a more detailed wave characterization, use of available regional climate models (e.g., The Medatlas Group, 2004) is easier and may represent a valid alternative.…”

Section: Discussionmentioning

confidence: 99%

Medium-term dynamics of a middle Adriatic barred beach

et al. 2017

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Abstract. In recent years, attention has been paid to beach protection by means of soft and hard defenses. Along the Italian coast of the Adriatic Sea, sandy beaches are the most common landscape feature and around 70 % of the Marche region's coast (central Adriatic) is protected by defense structures. The longest free-from-obstacle nearshore area in the region includes the beach of Senigallia, frequently monitored in the last decades and characterized by a multiple bar system, which represents a natural beach defense. The bathymetries surveyed in 2006, 2010, 2011, 2012 and 2013 show long-term stability, confirmed by a good adaptation of an analyzed stretch of the beach to the Dean-type equilibrium profile, though a strong short-to medium-term variability of the wave climate has been observed during the monitored periods. The medium-term dynamics of the beach, which deal with the evolution of submerged bars and are of the order of years or seasons, have been related to the wave climate collected, during the analyzed temporal windows, by a wave buoy located about 40 km off Senigallia. An overall interpretation of the hydrodynamics, sediment characteristics and seabed morphology suggests that the wave climate is fundamental for the morphodynamic changes of the beach in the medium term. These medium-term time ranges during which waves mainly come from NNE/ESE are characterized by a larger/smaller steepness and by a larger/smaller relative wave height, and seem to induce seaward/shoreward bar migration as well as bar smoothing/steepening. Moving southeastward, the bar dimension increases, while the equilibrium profile shape suggests the adaptation to a decreasing sediment size in the submerged beach. This is probably due to the presence of both the harbor jetty and river mouth north of the investigated area.

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Section: Discussionmentioning

confidence: 99%

Medium-term dynamics of a middle Adriatic barred beach

et al. 2017

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“…In the wave model the source terms of growth/dissipation ST4 [Ardhuin et al, 2010;Rascle and Ardhuin, 2013;Mentaschi et al, 2015] was employed. The model setup consists of a global regular mesh with a resolution of 1.5°, spanning from latitude 80°S to 80°N, with nests on specific areas.…”

Section: Methodsmentioning

confidence: 99%

Global changes of extreme coastal wave energy fluxes triggered by intensified teleconnection patterns

Mentaschi

Vousdoukas

Voukouvalas

et al. 2017

Geophysical Research Letters

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165

153

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In this study we conducted a comprehensive modeling analysis to identify global trends in extreme wave energy flux (WEF) along coastlines in the 21st century under a high emission pathway (Representative Concentration Pathways 8.5). For the end of the century, results show a significant increase up to 30% in 100 year return level WEF for the majority of the coastal areas of the southern temperate zone, while in the Northern Hemisphere large coastal areas are characterized by a significant negative trend. We show that the most significant long‐term trends of extreme WEF can be explained by intensification of teleconnection patterns such as the Antarctic Oscillation, El Niño–Southern Oscillation, and North Atlantic Oscillation. The projected changes will have broad implications for ocean engineering applications and disaster risk management. Especially low‐lying coastal countries in the Southern Hemisphere will be particularly vulnerable due to the combined effects of projected relative sea level rise and more extreme wave activities.

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“…However, substantial differences can be found when performing an EVA that considers directly observed and model wave data [10][11][12][13][14]. This difference is primarily due to the obvious fact that direct data, even though affected by errors-like any experiment-are still a more reliable estimate of the true values, compared to a model chain that, despite all the efforts and the care taken, is the result of enormously complicated calculations.…”

Section: Introductionmentioning

confidence: 99%

Extreme Wave Analysis by Integrating Model and Wave Buoy Data

Dentale

Furcolo

Carratelli

et al. 2018

Water

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Abstract:Estimating the extreme values of significant wave height (H S ), generally described by the H S return period T R function H S (T R ) and by its confidence intervals, is a necessity in many branches of coastal science and engineering. The availability of indirect wave data generated by global and regional wind and wave model chains have brought radical changes to the estimation procedures of such probability distribution-weather and wave modeling systems are routinely run all over the world, and H S time series for each grid point are produced and published after assimilation (analysis) of the ground truth. However, while the sources of such indirect data are numerous, and generally of good quality, many aspects of their procedures are hidden to the users, who cannot evaluate the reliability and the limits of the H S (T R ) deriving from such data. In order to provide a simple engineering tool to evaluate the probability of extreme sea-states as well as the quality of such estimates, we propose here a procedure based on integrating H S time series generated by model chains with those recorded by wave buoys in the same area.

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Performance evaluation of Wavewatch III in the Mediterranean Sea

Cited by 180 publications

References 41 publications

Medium-term dynamics of a middle Adriatic barred beach

Medium-term dynamics of a middle Adriatic barred beach

Global changes of extreme coastal wave energy fluxes triggered by intensified teleconnection patterns

Extreme Wave Analysis by Integrating Model and Wave Buoy Data

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