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Pregled bibliografske jedinice broj: 742567

Using Self-Organizing Maps in Creation of an Ocean Forecasting System


Vilibić, Ivica; Žagar, Nedjeljka; Cosoli, Simone; Dadić, Vlado; Ivanković. Damir; Kalinić, Hrvoje; Mihanović, Hrvoje; Šepić, Jadranka; Tudor, Martina
Using Self-Organizing Maps in Creation of an Ocean Forecasting System // Non-Gaussian and Nonlinear Techniques for Data Assimilation/Fusion, Predictability, and Uncertainty Quantification and Neural Networks I / Steven Fletcher (ur.).
San Francisco: AGU, 2014. (predavanje, međunarodna recenzija, sažetak, ostalo)


Naslov
Using Self-Organizing Maps in Creation of an Ocean Forecasting System

Autori
Vilibić, Ivica ; Žagar, Nedjeljka ; Cosoli, Simone ; Dadić, Vlado ; Ivanković. Damir ; Kalinić, Hrvoje ; Mihanović, Hrvoje ; Šepić, Jadranka ; Tudor, Martina

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, ostalo

Izvornik
Non-Gaussian and Nonlinear Techniques for Data Assimilation/Fusion, Predictability, and Uncertainty Quantification and Neural Networks I / Steven Fletcher - San Francisco : AGU, 2014

Skup
AGU FAll Meeting

Mjesto i datum
San Francisco, SAD, 15-19 12 2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Neural networks; sea currents; wind field

Sažetak
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.

Izvorni jezik
Engleski