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An exploratory study on hindcasting with analogue ensembles of principal components

2022Conference object Restricted access
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dc.contributor.authorBalsa, Carlos
dc.contributor.authorBreve, Murilo Montanini
dc.contributor.authorRodrigues, Carlos Veiga
dc.contributor.authorCosta, Luís S.
dc.contributor.authorRufino, José
dc.date.accessioned2023-02-28T14:24:39Z
dc.date.available2023-02-28T14:24:39Z
dc.date.issued2022
dc.description.abstractThe aim of this study is the reconstruction of meteorological data that are missing in a given station by means of the data from neighbouring stations. To achieve this, the Analogue Ensemble (AnEn) method was applied to the Principal Components (PCs) of the time series dataset, computed via Principal Component Analysis. This combination allows exploring the possibility of reducing the number of meteorological variables used in the reconstruction. The proposed technique is greatly influenced by the choice of the number of PCs used in the data reconstruction. The number of favorable PC varies according to the predicted variable and weather station. This choice is directly linked to the variables correlation. The application of AnEn using PCs leads to improvements of 8% to 21% in the RMSE of wind speed.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBalsa, Carlos; Breve, Murilo M.; Rodrigues, Carlos V.; Costa, Luís S.; Rufino, José (2022). An exploratory study on hindcasting with analogue ensembles of principal components. In 2nd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2022. Santiago de Compostelapt_PT
dc.identifier.doi10.1007/978-3-031-20319-0_36pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27303
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectHindcastingpt_PT
dc.subjectAnalogue ensemblespt_PT
dc.subjectPrincipal component analysispt_PT
dc.subjectTime seriespt_PT
dc.titleAn exploratory study on hindcasting with analogue ensembles of principal componentspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceSantiago de Compostelapt_PT
oaire.citation.endPage499pt_PT
oaire.citation.startPage488pt_PT
oaire.citation.title2nd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2022pt_PT
person.familyNameBalsa
person.familyNameRufino
person.givenNameCarlos
person.givenNameJosé
person.identifier1721518
person.identifier.ciencia-idDE1E-2F7A-AAB1
person.identifier.ciencia-idC414-F47F-6323
person.identifier.orcid0000-0003-2431-8665
person.identifier.orcid0000-0002-1344-8264
person.identifier.ridM-8735-2013
person.identifier.scopus-author-id23391719100
person.identifier.scopus-author-id55947199100
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationd0e5ccff-9696-4f4f-9567-8d698a6bf17d
relation.isAuthorOfPublication1e24d2ce-a354-442a-bef8-eebadd94b385
relation.isAuthorOfPublication.latestForDiscoveryd0e5ccff-9696-4f4f-9567-8d698a6bf17d

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