Document of bibliographic reference 254197

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Self-organizing maps-based ocean currents forecasting system
Abstract
An ocean surface currents forecasting system, based on a Self-Organizing Maps (SOM) neural network algorithm, high-frequency (HF) ocean radar measurements and numerical weather prediction (NWP) products, has been developed for a coastal area of the northern Adriatic and compared with operational ROMS-derived surface currents. The two systems differ significantly in architecture and algorithms, being based on either unsupervised learning techniques or ocean physics. To compare performance of the two methods, their forecasting skills were tested on independent datasets. The SOM-based forecasting system has a slightly better forecasting skill, especially during strong wind conditions, with potential for further improvement when data sets of higher quality and longer duration are used for training.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000372059100001
Bibliographic citation
Vilibic, I.; Sepic, J.; Mihanovic, H.; Kalinic, H.; Cosoli, S.; Janekovic, I.; Žagar, N.; Jesenko, B.; Tudor, M.; Dadic, V.; Ivankovic, D. (2016). Self-organizing maps-based ocean currents forecasting system. NPG Scientific Reports 6(22924): 7 pp. http://dx.doi.org/10.1038/srep22924
Topic
Marine
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Ivica Vilibic
author
Name
Jadranka Sepic
author
Name
Hrvoje Mihanovic
author
Name
Hrvoje Kalinic
author
Name
Simone Cosoli
author
Name
Ivica Janekovic
author
Name
Nedjeljka Žagar
author
Name
Blaž Jesenko
author
Name
Martina Tudor
author
Name
Vlado Dadic
author
Name
Damir Ivankovic

Links

referenced creativework
type
DOI
accessURL
http://dx.doi.org/10.1038/srep22924

Document metadata

date created
2016-03-18
date modified
2018-02-13