Impacts of physical calibration of a spectral wave model and effects of using different temporal wind inputs

Conference Paper (2022)
Author(s)

George Lavidas (TU Delft - Offshore Engineering)

Vengatesan Venugopal (The University of Edinburgh)

Research Group
Offshore Engineering
Copyright
© 2022 G. Lavidas, Vengatesan Venugopal
DOI related publication
https://doi.org/10.1201/9781003360773-7
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 G. Lavidas, Vengatesan Venugopal
Research Group
Offshore Engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
53-58
ISBN (print)
9781032420035
ISBN (electronic)
9781003360773
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Abstract

Spectral wave modelling can reduce uncertainties in the estimation of wave energy resource assessment, converter design, extreme value analysis, etc. In spectral models, wave growth is represented with different approaches, resulting in wave resource assessments having large differences especially at high wave values. In this paper a modified version of the North Sea Wave Database is used to quantify the impact of wind temporal fidelity on the wind growth components. The Simulating WAves Nearshore (SWAN) model has been modified, with two different wind inputs used from the European Centre for Medium-Range Weather Forecasts (ECMWF). Results are compared with in-situ measurements an inter-comparison for 20 years (1980-1999). Differences are found on mean and maxima values of wave parameters, with little changes in directionality. However, higher temporal resolution of the wind does not mean always a better hindcast, in fact attention to the calibration of wind-wave growth interactions and whitecaps leads to similar results. Finally, the high fidelity hindcasts are compared, identifying limitations and opportunities for improvements in wave energy assessments.

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