Articles | Volume 12, issue 2
Research article
10 Mar 2016
Research article |  | 10 Mar 2016

Wave extreme characterization using self-organizing maps

Francesco Barbariol, Francesco Marcello Falcieri, Carlotta Scotton, Alvise Benetazzo, Sandro Carniel, and Mauro Sclavo

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Cited articles

Barbariol, F., Benetazzo, A., Carniel, S., and Sclavo, M.: Improving the assessment of wave energy resources by means of coupled wave-ocean numerical modeling, Renew. Energ., 60, 462–471, 2013.
Benetazzo, A., Fedele, F., Carniel, S., Ricchi, A., Bucchignani, E., and Sclavo, M.: Wave climate of the Adriatic Sea: a future scenario simulation, Nat. Hazards Earth Syst. Sci., 12, 2065–2076,, 2012.
Boccotti, P.: Wave mechanics for ocean engineering, vol. 64, Elsevier Science, Amsterdam, the Netherlands, 2000.
Camus, P., Cofiño, A. S., Mendez, F. J., and Medina, R.: Multivariate wave climate using self-organizing maps, J. Atmos. Ocean. Tech., 28, 1554–1568,, 2011a.
Camus, P., Mendez, F. J., Medina, R., and Cofiño, A. S.: Analysis of clustering and selection algorithms for the study of multivariate wave climate, Coast. Eng., 58, 453–462,, 2011b.
Short summary
The analysis presented in the paper aims at extending the classification capabilities of Self-Organizing Maps (SOM) within the context of ocean waves. Indeed, the intrinsic SOM difficulty in representing extremes of the wave climate is discussed and alternative strategies are proposed in order to represent the whole wave climate at a given location. Among them, a two-step SOM together with a double-side map provides the best results.