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Giuseppe Barbaro

Researcher at Mediterranea University of Reggio Calabria

Publications -  71
Citations -  901

Giuseppe Barbaro is an academic researcher from Mediterranea University of Reggio Calabria. The author has contributed to research in topics: Wind wave & Coastal erosion. The author has an hindex of 17, co-authored 71 publications receiving 738 citations. Previous affiliations of Giuseppe Barbaro include University of Salento.

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Battle of the Water Calibration Networks

TL;DR: Calibration is a process of comparing model results with field data and making the appropriate adjustments so that both results agree as mentioned in this paper, which can involve formal optimization methods or manual methods in which the modeler informally examines alternative model parameters.
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A field experiment on the mechanics of irregular gravity waves

TL;DR: In this paper, a field experiment in the Straits of Messina in which an array of nine wave gauges and nine pressure transducers supported by vertical piles provided space-time information on waves generated over a fetch of approximately 10 km.
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Field experiment on random wave forces acting on vertical cylinders

TL;DR: The accuracy of the Morison equation for wave forces acting on cylinders was tested by conducting a field experiment at the Natural Ocean Engineering Laboratory (NOEL) using a database of about 69,000 individual wind waves as mentioned in this paper.
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General longshore transport model

TL;DR: In this article, a general longshore transport (LT) model is proposed after a re-calibration of the model originally introduced by Lamberti and Tomasicchio (1997) based on a modified stability number, N s ⁎⁎, for stone mobility at reshaping or berm breakwaters.
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Longshore transport at shingle beaches: an independent verification of the general model

TL;DR: In this paper, an independent verification of the GLT model is performed for the estimation of the total (bulk) LT at shingle beaches, even for the shingles beach case, is assessed by means of the comparison between the LT predictions and the observations from two field data sets.