Maximum wave height hindcasting using ensemble linear-nonlinear models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s00704-020-03272-7.pdf
Reference45 articles.
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3. Aydoğan B, Ayat B, Yüksel Y (2013) Black Sea wave energy atlas from 13 years hindcasted wave data. Renew Energy 57:436–447. https://doi.org/10.1016/j.renene.2013.01.047
4. Balas CE, Koç ML, Tür R (2010) Artificial neural networks based on principal component analysis, fuzzy systems and fuzzy neural networks for preliminary design of rubble mound breakwaters. Appl Ocean Res 32:425–433. https://doi.org/10.1016/j.apor.2010.09.005
5. Buyukyildiz M, Tezel G (2017) Utilization of PSO algorithm in estimation of water level change of Lake Beysehir. Theor Appl Climatol 128(1–2):181–191
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