Inferring long memory processes in the climate network via ordinal pattern analysis

Barreiro, Marcelo - Martí, Arturo - Masoller, Cristina

Resumen:

We use ordinal patterns and symbolic analysis to construct global climate networks and uncover long- and short-term memory processes. Data analyzed are the monthly averaged surface air temperature (SAT field), and the results suggest that the time variability of the SAT field is determined by patterns of oscillatory behavior that repeat from time to time, with a periodicity related to intraseasonal oscillations and to El Niño on seasonal-to-interannual time scales.


Detalles Bibliográficos
2011
Climate analysis
Complex networks
Ordinal patterns
Symbolic time series
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/34197
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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author Barreiro, Marcelo
author2 Martí, Arturo
Masoller, Cristina
author2_role author
author
author_facet Barreiro, Marcelo
Martí, Arturo
Masoller, Cristina
author_role author
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collection COLIBRI
dc.contributor.filiacion.none.fl_str_mv Barreiro Marcelo, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Física.
Martí Arturo, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Física.
Masoller Cristina, Universitat Politecnica de Catalunya
dc.creator.none.fl_str_mv Barreiro, Marcelo
Martí, Arturo
Masoller, Cristina
dc.date.accessioned.none.fl_str_mv 2022-10-14T14:02:25Z
dc.date.available.none.fl_str_mv 2022-10-14T14:02:25Z
dc.date.issued.none.fl_str_mv 2011
dc.description.abstract.none.fl_txt_mv We use ordinal patterns and symbolic analysis to construct global climate networks and uncover long- and short-term memory processes. Data analyzed are the monthly averaged surface air temperature (SAT field), and the results suggest that the time variability of the SAT field is determined by patterns of oscillatory behavior that repeat from time to time, with a periodicity related to intraseasonal oscillations and to El Niño on seasonal-to-interannual time scales.
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dc.identifier.citation.es.fl_str_mv Barreiro, M, Martí, A y Masoller, C. "Inferring long memory processes in the climate network via ordinal pattern analysis". Chaos: An Interdisciplinary Journal of Nonlinear Science. [en línea] 2011, 21(1): 013101. 10 h..
dc.identifier.doi.none.fl_str_mv 10.1063/1.3545273
dc.identifier.issn.none.fl_str_mv 1089-7682
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/34197
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv AIP Publishing
dc.relation.ispartof.es.fl_str_mv Chaos: An Interdisciplinary Journal of Nonlinear Science, 2011, 21(1): 013101
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.es.fl_str_mv Climate analysis
Complex networks
Ordinal patterns
Symbolic time series
dc.title.none.fl_str_mv Inferring long memory processes in the climate network via ordinal pattern analysis
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description We use ordinal patterns and symbolic analysis to construct global climate networks and uncover long- and short-term memory processes. Data analyzed are the monthly averaged surface air temperature (SAT field), and the results suggest that the time variability of the SAT field is determined by patterns of oscillatory behavior that repeat from time to time, with a periodicity related to intraseasonal oscillations and to El Niño on seasonal-to-interannual time scales.
eu_rights_str_mv openAccess
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identifier_str_mv Barreiro, M, Martí, A y Masoller, C. "Inferring long memory processes in the climate network via ordinal pattern analysis". Chaos: An Interdisciplinary Journal of Nonlinear Science. [en línea] 2011, 21(1): 013101. 10 h..
1089-7682
10.1063/1.3545273
instacron_str Universidad de la República
institution Universidad de la República
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language eng
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publishDate 2011
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repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
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rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
spelling Barreiro Marcelo, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Física.Martí Arturo, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Física.Masoller Cristina, Universitat Politecnica de Catalunya2022-10-14T14:02:25Z2022-10-14T14:02:25Z2011Barreiro, M, Martí, A y Masoller, C. "Inferring long memory processes in the climate network via ordinal pattern analysis". Chaos: An Interdisciplinary Journal of Nonlinear Science. [en línea] 2011, 21(1): 013101. 10 h..1089-7682https://hdl.handle.net/20.500.12008/3419710.1063/1.3545273We use ordinal patterns and symbolic analysis to construct global climate networks and uncover long- and short-term memory processes. Data analyzed are the monthly averaged surface air temperature (SAT field), and the results suggest that the time variability of the SAT field is determined by patterns of oscillatory behavior that repeat from time to time, with a periodicity related to intraseasonal oscillations and to El Niño on seasonal-to-interannual time scales.Submitted by Faget Cecilia (lfaget@fcien.edu.uy) on 2022-10-14T12:56:54Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) 1010.1564v3.pdf: 3846204 bytes, checksum: 76d58de2869f7979b80dc57bc65cd2bd (MD5)Approved for entry into archive by Faget Cecilia (lfaget@fcien.edu.uy) on 2022-10-14T13:52:05Z (GMT) No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) 1010.1564v3.pdf: 3846204 bytes, checksum: 76d58de2869f7979b80dc57bc65cd2bd (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2022-10-14T14:02:25Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) 1010.1564v3.pdf: 3846204 bytes, checksum: 76d58de2869f7979b80dc57bc65cd2bd (MD5) Previous issue date: 201110 h.application/pdfenengAIP PublishingChaos: An Interdisciplinary Journal of Nonlinear Science, 2011, 21(1): 013101Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Climate analysisComplex networksOrdinal patternsSymbolic time seriesInferring long memory processes in the climate network via ordinal pattern analysisArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaBarreiro, MarceloMartí, ArturoMasoller, CristinaLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/34197/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-850http://localhost:8080/xmlui/bitstream/20.500.12008/34197/2/license_urla006180e3f5b2ad0b88185d14284c0e0MD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse
spellingShingle Inferring long memory processes in the climate network via ordinal pattern analysis
Barreiro, Marcelo
Climate analysis
Complex networks
Ordinal patterns
Symbolic time series
status_str publishedVersion
title Inferring long memory processes in the climate network via ordinal pattern analysis
title_full Inferring long memory processes in the climate network via ordinal pattern analysis
title_fullStr Inferring long memory processes in the climate network via ordinal pattern analysis
title_full_unstemmed Inferring long memory processes in the climate network via ordinal pattern analysis
title_short Inferring long memory processes in the climate network via ordinal pattern analysis
title_sort Inferring long memory processes in the climate network via ordinal pattern analysis
topic Climate analysis
Complex networks
Ordinal patterns
Symbolic time series
url https://hdl.handle.net/20.500.12008/34197