Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42411
DC FieldValueLanguage
dc.contributor.authorOliver, Alberten_US
dc.contributor.authorRodríguez, Eduardoen_US
dc.contributor.authorMazorra-Aguiar, Luisen_US
dc.contributor.otherOliver, Albert
dc.date.accessioned2018-11-09T13:16:40Z-
dc.date.available2018-11-09T13:16:40Z-
dc.date.issued2018en_US
dc.identifier.isbn978-3-319-76875-5-
dc.identifier.issn1865-3529
dc.identifier.urihttp://hdl.handle.net/10553/42411-
dc.description.abstractProbabilistic wind forecasting is a methodology to deal with uncertainties in numerical weather prediction models (NWP). In this chapter, we describe the need for ensemble forecasting, the different techniques used to generate the different initial conditions, and the operational ensemble models that are used nowadays in meteorological agencies. Then, we develop an ensemble method designed for the down-scaling wind model described in Chap. 4 coupled with the AROME-HARMONIE mesoscale model, a non-hydrostatic dynamic forecast model described in Chap. 5. As we have explained in Chap. 4, some parameters need to be estimated since we do not know its exact value. These parameters are, basically, the roughness length and the zero plane displacement (explained in Chap. 2), as well as the Gauss moduli parameter (a) used in the diagnostic wind model. This estimation is the main source of uncertainties in the model; therefore we will estimate some of these parameters using different forecast values of the AROME-HARMONIE. Finally, an example of the approach is applied in Gran Canaria island with a comparison of the ensemble results with experimental data from AEMET meteorological stations.en_US
dc.languageengen_US
dc.publisher1865-3529-
dc.relation.ispartofGreen Energy and Technologyes-ES
dc.sourceGreen Energy and Technology[ISSN 1865-3529], p. 129-145en_US
dc.subject3322 Tecnología energéticaen_US
dc.subject.otherNumerical Weather Prediction
dc.subject.otherSingular Vectors
dc.subject.otherMultimodel Ensembles
dc.subject.otherClimate Forecasts
dc.subject.otherDaily Temperature
dc.subject.otherGlobal Ensemble
dc.subject.otherSystem
dc.subject.otherModel
dc.subject.otherSkill
dc.subject.otherEcmwf
dc.titleWind field probabilistic forecastingen_US
dc.typeinfo:eu-repo/semantics/bookPartes
dc.typeBookes
dc.identifier.doi10.1007/978-3-319-76876-2_6
dc.identifier.scopus85045988056
dc.identifier.isi000441013400007
dcterms.isPartOfWind Field And Solar Radiation Characterization And Forecasting: A Numerical Approach For Complex Terrain
dcterms.sourceWind Field And Solar Radiation Characterization And Forecasting: A Numerical Approach For Complex Terrain[ISSN 1865-3529], p. 129-145
dc.contributor.authorscopusid55499226000
dc.contributor.authorscopusid7401953314
dc.contributor.authorscopusid56971482900
dc.description.lastpage145-
dc.description.firstpage129-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Capítulo de libroen_US
dc.identifier.wosWOS:000441013400007
dc.contributor.daisngid4484055
dc.contributor.daisngid1187392
dc.contributor.daisngid28998556
dc.identifier.investigatorRIDK-8812-2013
dc.contributor.wosstandardWOS:Oliver, A
dc.contributor.wosstandardWOS:Rodriguez, E
dc.contributor.wosstandardWOS:Mazorra-Aguiar, L
dc.date.coverdateEnero 2018
dc.identifier.ulpgces
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptSIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.deptSIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptDepartamento de Ingeniería Eléctrica-
crisitem.author.orcid0000-0002-3783-8670-
crisitem.author.orcid0000-0002-2701-2971-
crisitem.author.orcid0000-0002-9746-7461-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameOliver Serra, Albert-
crisitem.author.fullNameRodríguez Barrera, Eduardo Miguel-
crisitem.author.fullNameMazorra Aguiar, Luis-
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