Articles | Volume 12, issue 2
https://doi.org/10.5194/os-12-403-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-12-403-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Wave extreme characterization using self-organizing maps
Francesco Barbariol
CORRESPONDING AUTHOR
Institute of Marine Sciences, Italian National Research Council, Venice, Italy
Francesco Marcello Falcieri
Institute of Marine Sciences, Italian National Research Council, Venice, Italy
Carlotta Scotton
University of Padua, Padua, Italy
Alvise Benetazzo
Institute of Marine Sciences, Italian National Research Council, Venice, Italy
Sandro Carniel
Institute of Marine Sciences, Italian National Research Council, Venice, Italy
Mauro Sclavo
Institute of Marine Sciences, Italian National Research Council, Venice, Italy
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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.
The analysis presented in the paper aims at extending the classification capabilities of...