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Hindcasting with multistations using analog ensembles

dc.contributor.authorChesneau, Alexandre
dc.contributor.authorBalsa, Carlos
dc.contributor.authorRodrigues, Carlos Veiga
dc.contributor.authorLopes, Isabel Maria
dc.date.accessioned2019-11-27T15:56:53Z
dc.date.available2019-11-27T15:56:53Z
dc.date.issued2019
dc.description.abstractA hindcast with multiple stations was performed with vari- ous Analog Ensembles (AnEn) algorithms. The different strategies were analyzed and benchmarked in order to improve the prediction. The un- derlying problem consists in making weather predictions for a location where no data is available, using meteorological time series from nearby stations. Various methods are explored, from the basic one, originally de-scribed by Monache and co-workers, to methods using cosine similarity, normalization, and K-means clustering. Best results were obtained with the K-means metric, wielding between 3% and 30% of lower quadratic error when compared against the Monache metric. Increasing the predictors to two stations improved the performance of the hindcast, leading up to 16% of lower error, depending on the correlation between the predictor stations.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationChesneau, Alexandre; Balsa, Carlos; Rodrigues, C. Veiga; Lopes, Isabel Maria (2019) . Hindcasting with multistations using analog ensembles. In CEUR Workshop Proceedings. Madrid. 2486, p. 215–229. ISSN 1613-0073pt_PT
dc.identifier.issn1613-0073
dc.identifier.urihttp://hdl.handle.net/10198/19863
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherCEUR-WSpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAnalog ensemblespt_PT
dc.subjectHindcastingpt_PT
dc.subjectTime seriespt_PT
dc.subjectMeteoro- logical datapt_PT
dc.titleHindcasting with multistations using analog ensemblespt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceMadridpt_PT
oaire.citation.endPage229pt_PT
oaire.citation.startPage215pt_PT
oaire.citation.titleCEUR Workshop Proceedingspt_PT
oaire.citation.volume2486pt_PT
person.familyNameBalsa
person.familyNameLopes
person.givenNameCarlos
person.givenNameIsabel Maria
person.identifier1721518
person.identifier.ciencia-idDE1E-2F7A-AAB1
person.identifier.ciencia-id8812-AE1C-A316
person.identifier.orcid0000-0003-2431-8665
person.identifier.orcid0000-0002-5614-3516
person.identifier.ridM-8735-2013
person.identifier.ridA-1728-2014
person.identifier.scopus-author-id23391719100
person.identifier.scopus-author-id55211017300
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationd0e5ccff-9696-4f4f-9567-8d698a6bf17d
relation.isAuthorOfPublication111716db-94a0-4c24-b739-330dc2ae79fc
relation.isAuthorOfPublication.latestForDiscoveryd0e5ccff-9696-4f4f-9567-8d698a6bf17d

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