Publication
PCAnEn - hindcasting with analogue ensembles of principal components
| dc.contributor.author | Balsa, Carlos | |
| dc.contributor.author | Breve, Murilo Montanini | |
| dc.contributor.author | André, Baptiste | |
| dc.contributor.author | Rodrigues, Carlos Veiga | |
| dc.contributor.author | Rufino, José | |
| dc.date.accessioned | 2024-02-20T15:07:06Z | |
| dc.date.available | 2024-02-20T15:07:06Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | The focus of this study is the reconstruction of missing meteorological data at a station based on data from neighboring stations. To that end, the Principal Components Analysis (PCA) method was applied to the Analogue Ensemble (AnEn) method to reduce the data dimensionality. The proposed technique is greatly influenced by the choice of stations according to proximity and correlation to the predicted one. PCA associated with AnEn decreased the errors in the prediction of some meteorological variables by 30% and, at the same time, decreased the prediction time by 48%. It was also verified that our implementation of this methodology in MATLAB is around two times faster than in R. | pt_PT |
| dc.description.sponsorship | The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021). | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Balsa, Carlos; Breve, Murilo Montanini; André, Baptiste; Rodrigues, Carlos Veiga; Rufino, José (2023). PCAnEn - hindcasting with analogue ensembles of principal components. In International Conference on Computer Science, Electronics, and Industrial Engineering (CSEI) 2022. ISSN 2367-3370. 678, p. 169-183 | pt_PT |
| dc.identifier.doi | 10.1007/978-3-031-30592-4_13 | pt_PT |
| dc.identifier.eissn | 2367-3389 | |
| dc.identifier.issn | 2367-3370 | |
| dc.identifier.uri | http://hdl.handle.net/10198/29571 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Elsevier | pt_PT |
| dc.relation | LA/P/0007/2021 | pt_PT |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Hindcasting | pt_PT |
| dc.subject | Analogue ensembles | pt_PT |
| dc.subject | Principal component analysis | pt_PT |
| dc.subject | Time series | pt_PT |
| dc.subject | R | pt_PT |
| dc.subject | MATLAB | pt_PT |
| dc.title | PCAnEn - hindcasting with analogue ensembles of principal components | pt_PT |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT | |
| oaire.citation.endPage | 183 | pt_PT |
| oaire.citation.startPage | 169 | pt_PT |
| oaire.citation.title | International Conference on Computer Science, Electronics, and Industrial Engineering (CSEI) 2022 | pt_PT |
| oaire.citation.volume | 678 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Balsa | |
| person.familyName | Rufino | |
| person.givenName | Carlos | |
| person.givenName | José | |
| person.identifier | 1721518 | |
| person.identifier.ciencia-id | DE1E-2F7A-AAB1 | |
| person.identifier.ciencia-id | C414-F47F-6323 | |
| person.identifier.orcid | 0000-0003-2431-8665 | |
| person.identifier.orcid | 0000-0002-1344-8264 | |
| person.identifier.rid | M-8735-2013 | |
| person.identifier.scopus-author-id | 23391719100 | |
| person.identifier.scopus-author-id | 55947199100 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | d0e5ccff-9696-4f4f-9567-8d698a6bf17d | |
| relation.isAuthorOfPublication | 1e24d2ce-a354-442a-bef8-eebadd94b385 | |
| relation.isAuthorOfPublication.latestForDiscovery | d0e5ccff-9696-4f4f-9567-8d698a6bf17d | |
| relation.isProjectOfPublication | 6e01ddc8-6a82-4131-bca6-84789fa234bd | |
| relation.isProjectOfPublication | d0a17270-80a8-4985-9644-a04c2a9f2dff | |
| relation.isProjectOfPublication.latestForDiscovery | 6e01ddc8-6a82-4131-bca6-84789fa234bd |