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Pregled bibliografske jedinice broj: 741325

Zbornik radova

Autori: Vilibic, Ivica; Zagar, Nedjeljka; Cosoli, Simone; Dadic, Vlado; Horvath, Kristian; Ivankovic, Damir; Jesenko, Blaz; Mihanovic, Hrvoje; Sepic, Jadranka; Tudor, Martina
Naslov: Investigating and forecasting coastal Adriatic surface currents by using neural networks (NEURAL)
( Investigating and forecasting coastal Adriatic surface currents by using neural networks (NEURAL) )
Izvornik: European Geosciences Union General Assembly 2014 / Sandro Carniel | Co-Conveners: Agustín Sánchez-Arcilla , Judith Wolf , Emil Stanev , Georg Umgiesser (ur.). - Vienna, Austria : Copernicus gmbh , 2014. .
Skup: European Geosciences Union General Assembly 2014
Mjesto i datum: Beč, Austrija, 27 April – 02 May 2014
Ključne riječi: neural networks; surface currents
( neural networks; surface currents )
Sažetak:
We present major components of the project NEURAL (www.izor.hr/neural) funded by the Unity Through Knowledge Fund (www.ukf.hr). The project aims to investigate and to build an efficient and reliable prototype of the ocean surface current forecasting system, based on high-frequency (HF) radar measurements, numerical weather prediction (NWP) model outputs and neural network algorithms (Self-Organising Maps). The Self- Organising Maps (SOM) method, a kind of neural network algorithms that performs a nonlinear smooth mapping of high-dimensional input data into the elements of a low-dimensional array, has previously been used on historical HF radar measurements and NWP Aladin/HR wind fields, which were operational in the northern Adriatic during 2008. It was found that the SOM surface currents patterns and associated SOM surface currents and winds patterns were highly correlated, indicating the predominance of the wind-driven forcing on the measured ocean currents. Therefore, a forecasting system has been proposed, that will use operational NWP products for the Adriatic region, then search for the closest SOM solutions in wind fields and finally to forecast ocean currents by using associated SOM patterns in HF radar currents.
Vrsta sudjelovanja: Poster
Vrsta prezentacije u zborniku: Sažetak
Vrsta recenzije: Međunarodna recenzija
Izvorni jezik: eng
Kategorija: Znanstveni
Znanstvena područja:
Geologija
Puni text rada: 741325.EGU2014-1724.pdf (tekst priložen 15. Pro. 2014. u 15:55 sati)
URL Internet adrese: http://meetingorganizer.copernicus.org/EGU2014/EGU2014-1724.pdf
Upisao u CROSBI: Martina Tudor (tudor@cirus.dhz.hr), 15. Pro. 2014. u 15:55 sati



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