Offshore wind field: Application of statistical models as a spatial validation technique

Marujo, R.; Costa, Paula Silva; Fernandes, Miguel; Estanqueiro, Ana

Publication

Offshore wind field: Application of statistical models as a spatial validation technique

2011Conference object

dc.contributor.author	Marujo, R.
dc.contributor.author	Costa, Paula Silva
dc.contributor.author	Fernandes, Miguel
dc.contributor.author	Estanqueiro, Ana
dc.date.accessioned	2012-02-27T15:09:21Z
dc.date.available	2012-02-27T15:09:21Z
dc.date.issued	2011
dc.description.abstract	Generally, atmospheric mesoscale models are used as tools to perform wind atlases. In recent decades, significant efforts have been applied to the development and improvement of this kind of models to reduce their systematic errors. These ones are assessed when model results are compared with observations. In practice, such errors could be statistically corrected if observational data was available for the same area. A deviation matrix of the wind field between WRF (Weather Research and Forecasting) mesoscale model and wind data retrieved from the QuiKSCAT satellite was obtained by the application of two statistical techniques – kriging interpolation and composite method. The spatial validation performance was evaluated with observational wind data from an anemometric mast installed on Berlengas islet since November 2006 to the present. The following are a preliminary assessment of the statistical methods as spatial validation techniques. These are a part of the spatial validation methodology to be used within the EU FP7 NORSEWInD project.	por
dc.identifier.citation	Marujo, R.; Costa, P.; Fernandes, M.; Estanqueiro, A. - Offshore wind field: Application of statistical models as a spatial validation technique. In:European Offshore Wind Conference & Exhibition, Amsterdam, 29 Nov. – 1 Dez., 2011, 8p.	por
dc.identifier.uri	http://hdl.handle.net/10400.9/1501
dc.language.iso	eng	por
dc.subject	Wind field	por
dc.subject	Offshore wind energy	por
dc.subject	Statistical models	por
dc.title	Offshore wind field: Application of statistical models as a spatial validation technique	por
dc.type	conference object
dspace.entity.type	Publication
oaire.citation.conferencePlace	Amsterdam	por
oaire.citation.title	European Offshore Wind Conference & Exhibition	por
person.familyName	Estanqueiro
person.givenName	Ana
person.identifier.ciencia-id	7F11-A24D-EE81
person.identifier.orcid	0000-0002-0476-2526
person.identifier.rid	J-9752-2012
person.identifier.scopus-author-id	19336967700
rcaap.rights	openAccess	por
rcaap.type	conferenceObject	por
relation.isAuthorOfPublication	20aa31b3-fa3c-42b7-82a4-e6b91c017f9c
relation.isAuthorOfPublication.latestForDiscovery	20aa31b3-fa3c-42b7-82a4-e6b91c017f9c