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Christos Stefanakos

Research Scientist

Christos Stefanakos

Research Scientist

Christos Stefanakos
Phone: 930 02 418
Department: Environment and New Resources
Office: Trondheim

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1750480

Short-term predictions of wind and wave properties with a duration of 1–3 days are vital for decision-making during the execution of marine operations. One-step-ahead weather conditions can be accurately predicted via various methods. However, prediction over long horizons is challenging since multi...

Authors Wu Mengning Stefanakos Christos Gao Zhen Haver Sverre Kristian
Year 2019
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1709773

In this work an intercomparison of two wave reanalysis products, namely ERA5 and CFSR-W (WW3 hereafter), is presented. The datasets are assessed by means of several statistical features, such as seasonal variability, quantiles of the probability distribution, annual and inter-annual variability, and...

Year 2019
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1673759

Fiskeri- og havbruksnæringens forskningsfond (FHF) har igangsatt et prosjekt med formål å identifisere lange måleserier for strøm, analysere disse og foreslå nye omregningsfaktorer eller andre metoder for bestemmelse av dimensjonerende strøm. Prosjektet er organise...

Authors Eidnes Grim Stefanakos Christos
Year 2018
Type Report/thesis
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1615156

The study of very long-term ocean climate is of great interest in a number of different applications. In a climate change perspective, estimations of return values of wind and wave parameters to a future climate are of great importance for risk management and adaptation purposes. However, there are ...

Authors Stefanakos Christos Vanem Erik
Year 2018
Type Part of a book/report
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1614339

In a series of previous papers, the well-known FIS/ANFIS systems have been successfully combined with a nonstationary time series modelling for improved predictions of wind and wave parameters. The initial time series is first decomposed into a seasonal mean value and a residual stationary part mult...

Year 2018
Type Part of a book/report