Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/8259
Using WRF to generate high resolution offshore wind climatologies
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGarcía Díez, Markeles_ES
dc.contributor.authorFernández, Jesúses_ES
dc.contributor.authorFita, Lluíses_ES
dc.contributor.authorMenéndez, Melisaes_ES
dc.contributor.authorMéndez Incera, Fernando J.es_ES
dc.contributor.authorGutiérrez Llorente, José Manueles_ES
dc.date.accessioned2018-01-15T11:23:30Z-
dc.date.available2018-01-15T11:23:30Z-
dc.date.issued2012-
dc.identifier.citationRodríguez Puebla, Concepción; Ceballos Barbancho, Antonio; González Reviriego, Nube; Morán Tejeda, Enrique; Hernández Encinas, Ascensión (eds.). Cambio climático. Extremos e impactos. Madrid: Asociación Española de Climatología, 2012, p. 85-92es_ES
dc.identifier.isbn978-84-695-4331-3-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/8259-
dc.descriptionPonencia presentada en: VIII Congreso de la Asociación Española de Climatología celebrado en Salamanca entre el 25 y el 28 de septiembre de 2012.es_ES
dc.description.abstractRecently, the demand of gridded wind datasets over sea areas has increased due to the ongoing development of offshore wind farms. Currently available reanalysis datasets do not have enough resolution to deal with complex coastlines and coastal topography, and these do interact with the winds and meteorological systems well into the open sea. Here we present the main characteristics of a high resolution wind climatology that has been produced using the Weather Research and Forecasting model to downscale the ERA-INTERIM reanalysis. The simulations were carried out in a domain covering the Mediterranean basin and most of Europe, and thus areas with different wind regimes. The model has been kept close to the driving reanalysis by restarting it daily, as this running mode provided better results than nudging techniques. Results show that WRF is able to produce realistic offshore wind climatologies, probabilistic wind distributions and annual cycle. It also reproduces well-known regional winds remarkably well.es_ES
dc.description.sponsorshipThis paper is a contribution to the financed projects by the Spanish government CORWES (CGL2010-22158-C02-01), WRF4G (CGL2010-22158-C02-01), EXTREMBLES (CGL2010-21869), C3E (200800050084091), iMar21 (CTM201015009) and MARUCA (E17/08), and was partially funded by projects ‘MAREN’ (Atlantic Area Transnational Programme) and ‘CoCoNet’ (FP7-OCEAN-2011).es_ES
dc.language.isoenges_ES
dc.publisherAsociación Española de Climatologíaes_ES
dc.relation.ispartofPublicaciones de la Asociación Española de Climatología. Serie A;8-
dc.rightsLicencia CC: Reconocimiento CC BYes_ES
dc.subjectWind farmses_ES
dc.subjectDownscalinges_ES
dc.subjectNumerical modellinges_ES
dc.titleUsing WRF to generate high resolution offshore wind climatologieses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/287844es_ES
Appears in Collections:(2012, Salamanca). VIII Congreso AEC


Files in This Item:
  File Description SizeFormat 
0007_VIII-2012-M_GARC...
6,83 MBAdobe PDFThumbnail
View/Open
Show simple item record



Items in Arcimís are protected by Creative Commons License, unless otherwise indicated.

Arcimís Repository
Nota Legal Contacto y sugerencias