Publication
Hindcasting with multistations using analog ensembles
dc.contributor.author | Chesneau, Alexandre | |
dc.contributor.author | Balsa, Carlos | |
dc.contributor.author | Rodrigues, Carlos Veiga | |
dc.contributor.author | Lopes, Isabel Maria | |
dc.date.accessioned | 2019-11-27T15:56:53Z | |
dc.date.available | 2019-11-27T15:56:53Z | |
dc.date.issued | 2019 | |
dc.description.abstract | A 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.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Chesneau, 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 1613-0073 | pt_PT |
dc.identifier.issn | 1613-0073 | |
dc.identifier.uri | http://hdl.handle.net/10198/19863 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | CEUR-WS | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Analog ensembles | pt_PT |
dc.subject | Hindcasting | pt_PT |
dc.subject | Time series | pt_PT |
dc.subject | Meteoro- logical data | pt_PT |
dc.title | Hindcasting with multistations using analog ensembles | pt_PT |
dc.type | conference paper | |
dspace.entity.type | Publication | |
oaire.citation.conferencePlace | Madrid | pt_PT |
oaire.citation.endPage | 229 | pt_PT |
oaire.citation.startPage | 215 | pt_PT |
oaire.citation.title | CEUR Workshop Proceedings | pt_PT |
oaire.citation.volume | 2486 | pt_PT |
person.familyName | Balsa | |
person.familyName | Lopes | |
person.givenName | Carlos | |
person.givenName | Isabel Maria | |
person.identifier | 1721518 | |
person.identifier.ciencia-id | DE1E-2F7A-AAB1 | |
person.identifier.ciencia-id | 8812-AE1C-A316 | |
person.identifier.orcid | 0000-0003-2431-8665 | |
person.identifier.orcid | 0000-0002-5614-3516 | |
person.identifier.rid | M-8735-2013 | |
person.identifier.rid | A-1728-2014 | |
person.identifier.scopus-author-id | 23391719100 | |
person.identifier.scopus-author-id | 55211017300 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
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