Short-term forecasting of the wave energy flux: Analogues, random forests, and physics-based models

Author:

Ibarra-Berastegi GabrielORCID,Saénz Jon,Esnaola Ganix,Ezcurra Agustin,Ulazia Alain

Funder

University of the Basque Country

Spanish Ministry of the Economy and Competitiveness

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference53 articles.

1. Online wave prediction;Agrawal;Mar. Struct.,2002

2. Comparison between M5′ model tree and neural networks for prediction of significant wave height in Lake Superior;Etemad-Shahidi;J. Ocean Eng.,2009

3. Bidlot, J.R., Janssen, P.A.E.M., Abdalla, S., Hersbach, H., 2007. A revised formulation of ocean wave dissipation and its model impact. ECMWF Technical Memorandum 509. ECMWF, Reading, United Kingdom. Available from: 〈http://www.ecmwf.int/publications〉.

4. Applied spatial data analysis with R;Bivand,2013

5. Bivand, R., Keitt, T., Rowlingson, B., 2013b. rgdal: Bindings for the Geospatial Data Abstraction Library. R package version 0.8–11. 〈http://CRAN.R-project.org/package=rgdal〉

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