Using Self-Organizing Maps in Creation of an Ocean Forecasting System (CROSBI ID 620340)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija
Podaci o odgovornosti
Vilibić, Ivica ; Žagar, Nedjeljka ; Cosoli, Simone ; Dadić, Vlado ; Ivanković. Damir ; Kalinić, Hrvoje ; Mihanović, Hrvoje ; Šepić, Jadranka ; Tudor, Martina
engleski
Using Self-Organizing Maps in Creation of an Ocean Forecasting System
We present the first results of the NEURAL project (www.izor.hr/neural), which is dedicated to creation of an efficient and reliable ocean surface current forecasting system. This system is based on high-frequency (HF) radar measurements, numerical weather prediction (NWP) models and neural network algorithms (Self-Organizing Maps, SOM). Joint mapping of mesoscale ground winds and HF radars in a coastal area points to a high correlation between two sets, indicating that wind forecast may be used as a basis for forecasting ocean surface currents.
neural networks; sea currents; wind field
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Podaci o prilogu
2014.
objavljeno
Podaci o matičnoj publikaciji
Non-Gaussian and Nonlinear Techniques for Data Assimilation/Fusion, Predictability, and Uncertainty Quantification and Neural Networks I
Steven Fletcher
San Francisco (CA): American Geophysical Union (AGU)
Podaci o skupu
AGU Fall Meeting
predavanje
15.12.2014-19.12.2014
San Francisco (CA), Sjedinjene Američke Države