Inferring long memory processes in the climate network via ordinal pattern analysis
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.
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) |
_version_ | 1807522793527443456 |
---|---|
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. |
dc.format.extent.es.fl_str_mv | 10 h. |
dc.format.mimetype.es.fl_str_mv | application/pdf |
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 |
format | article |
id | COLIBRI_90c770b23413bdc14094268a9995e621 |
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 |
instname_str | Universidad de la República |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/34197 |
publishDate | 2011 |
reponame_str | COLIBRI |
repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
repository.name.fl_str_mv | COLIBRI - Universidad de la República |
repository_id_str | 4771 |
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 |