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Article

Extreme Wave Analysis by Integrating Model and Wave Buoy Data

1
Inter-University National Consortium for Marine Sciences (CoNISMa), 00196 Roma, Italy
2
Civil Engineering Department, University of Salerno, 84084 Fisciano, Italy
3
Department of Engineering, University of Campania “Luigi Vanvitelli”, 81100 Caserta, Italy
4
Department of Innovation Engineering, Ecotekne Centre, University of Salento, 73100 Lecce, Italy
*
Author to whom correspondence should be addressed.
Water 2018, 10(4), 373; https://doi.org/10.3390/w10040373
Received: 12 February 2018 / Revised: 20 March 2018 / Accepted: 21 March 2018 / Published: 24 March 2018
Estimating the extreme values of significant wave height (HS), generally described by the HS return period TR function HS(TR) 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 HS 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 HS(TR) 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 HS time series generated by model chains with those recorded by wave buoys in the same area. View Full-Text
Keywords: wave extreme events; Mediterranean Sea; North Atlantic Spanish coasts; Gulf of Mexico; wave modeling; small scale storm variations wave extreme events; Mediterranean Sea; North Atlantic Spanish coasts; Gulf of Mexico; wave modeling; small scale storm variations
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MDPI and ACS Style

Dentale, F.; Furcolo, P.; Pugliese Carratelli, E.; Reale, F.; Contestabile, P.; Tomasicchio, G.R. Extreme Wave Analysis by Integrating Model and Wave Buoy Data. Water 2018, 10, 373. https://doi.org/10.3390/w10040373

AMA Style

Dentale F, Furcolo P, Pugliese Carratelli E, Reale F, Contestabile P, Tomasicchio GR. Extreme Wave Analysis by Integrating Model and Wave Buoy Data. Water. 2018; 10(4):373. https://doi.org/10.3390/w10040373

Chicago/Turabian Style

Dentale, Fabio, Pierluigi Furcolo, Eugenio Pugliese Carratelli, Ferdinando Reale, Pasquale Contestabile, and Giuseppe R. Tomasicchio 2018. "Extreme Wave Analysis by Integrating Model and Wave Buoy Data" Water 10, no. 4: 373. https://doi.org/10.3390/w10040373

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