Document of bibliographic reference 357899

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Sensitivities in wind driven spectral wave modelling for the Belgian Coast
Abstract
This paper presents the analysis of spectral wind-wave modelling (using SWAN) of the North Sea focusing on the modelled wave parameters along the Belgian coast. Two wind databases were used to drive the model: ECMWF-ERA5 reanalysis and the Dutch Offshore Wind Atlas. The models were calibrated with measured data at various stations along the Belgian coastline. The accuracy in terms of wave parameter statistics was compared for the calibrated and uncalibrated models. It was found that a calibrated SWAN model does, in general, produce more accurate results when compared to measured data for stations along the Belgian coastline even though not by any significant margin. Comparing the two wind databases, on the modelling scale conducted in this study, there is no advantage observed in using a spatially finer scale wind database over a coarser database to force the model. The grid sizes were varied in the models and marginal differences were observed in the modelled data. The long-term extreme value statistics were calculated for various grid sizes and compared to published values. It is shown that the extreme value statistics are relatively insensitive to the grid density and thus much time can be saved on long-term modelling on this model scale. In addition, a benefit to the practise of grid nesting is demonstrated when considering complex bathymetric effects that have an influence on wave transformation in the shallower areas of the coast, especially along the Belgian coastline demarcated with its numerous sandbanks.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000845541900001
Bibliographic citation
Van Eeden, F.; Klonaris, G.; Verbeurgt, J.; Troch, P.; De Wulf, A. (2022). Sensitivities in wind driven spectral wave modelling for the Belgian Coast. J. Mar. Sci. Eng. 10(8): 1138. https://dx.doi.org/10.3390/jmse10081138
Topic
Marine
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Frans Van Eeden
Identifier
https://orcid.org/0000-0002-8662-9592
Affiliation
Universiteit Gent; Faculteit Wetenschappen; Vakgroep Geografie
author
Name
Georgios Klonaris
Identifier
https://orcid.org/0000-0002-8168-906X
Affiliation
Universiteit Gent; Faculteit Wetenschappen; Vakgroep Geografie
author
Name
Jeffrey Verbeurgt
Identifier
https://orcid.org/0000-0002-9045-6049
Affiliation
Universiteit Gent; Faculteit Wetenschappen; Vakgroep Geografie
author
Name
Peter Troch
Identifier
https://orcid.org/0000-0003-3274-0874
Affiliation
Universiteit Gent; Faculteit Ingenieurswetenschappen; Vakgroep Civiele Techniek
author
Name
Alain De Wulf
Identifier
https://orcid.org/0000-0001-6601-1691
Affiliation
Universiteit Gent; Faculteit Wetenschappen; Vakgroep Geografie

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.3390/jmse10081138

thesaurus terms

term
Wind waves (term code: 9362 - defined in term set: ASFA Thesaurus List)

geographic terms

geographic terms associated with this publication
Belgium

Document metadata

date created
2022-10-26
date modified
2022-10-26