Global atmospheric dynamics investigated by using Hilbert Frequency Analysis
El artículo pertenece al número especial: Applications of Information Theory in the Geosciences
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| Médium: | article |
| Jazyk: | angličtina |
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2016
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| On-line přístup: | https://hdl.handle.net/20.500.12008/34231 |
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| _version_ | 1868890002704826368 |
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| author | Zappalà, Dario A. |
| author2 | Barreiro, Marcelo Masoller, Cristina |
| author2_role | author author |
| author_browse | Barreiro, Marcelo Masoller, Cristina Zappalà, Dario A. |
| author_facet | Zappalà, Dario A. Barreiro, Marcelo Masoller, Cristina |
| author_role | author |
| collection | COLIBRI |
| dc.contributor.none.fl_str_mv | Zappalà Dario A., Universitat Politècnica de Catalunya Barreiro Marcelo, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Física. Masoller Cristina, Universitat Politècnica de Catalunya |
| dc.creator.none.fl_str_mv | Zappalà, Dario A. Barreiro, Marcelo Masoller, Cristina |
| dc.date.none.fl_str_mv | 2016 2022-10-18T14:39:18Z 2022-10-18T14:39:18Z |
| dc.format.none.fl_str_mv | 11 h application/pdf |
| dc.identifier.none.fl_str_mv | Zappalà, D, Barreiro, M y Masoller, C. "Global atmospheric dynamics investigated by using Hilbert Frequency Analysis". Entropy [en línea] 2016 18(11): 408 . 11 h. https://hdl.handle.net/20.500.12008/34231 10.3390/e18110408 |
| dc.language.none.fl_str_mv | en eng |
| dc.publisher.none.fl_str_mv | MDPI |
| dc.relation.none.fl_str_mv | Entropy, 2016, 18(11): 408 |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess Licencia Creative Commons Atribución (CC - By 4.0) |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.none.fl_str_mv | Time-series analysis Hilbert transform Atmospheric phenomena Climate dynamics Variability Complex systems External forcing Noise |
| dc.title.none.fl_str_mv | Global atmospheric dynamics investigated by using Hilbert Frequency Analysis |
| dc.type.none.fl_str_mv | Artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | El artículo pertenece al número especial: Applications of Information Theory in the Geosciences |
| eu_rights_str_mv | openAccess |
| format | article |
| id | anni_33c0524846fda878c3cebde2fbdaa26b |
| identifier_str_mv | Zappalà, D, Barreiro, M y Masoller, C. "Global atmospheric dynamics investigated by using Hilbert Frequency Analysis". Entropy [en línea] 2016 18(11): 408 . 11 h. 10.3390/e18110408 |
| 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 | anni |
| network_name_str | oai-lr-anni |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/34231 |
| publishDate | 2016 |
| publishDateSort | 2016 |
| publisher.none.fl_str_mv | MDPI |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
| spelling | Global atmospheric dynamics investigated by using Hilbert Frequency AnalysisZappalà, Dario A.Barreiro, MarceloMasoller, CristinaTime-series analysisHilbert transformAtmospheric phenomenaClimate dynamicsVariabilityComplex systemsExternal forcingNoiseEl artículo pertenece al número especial: Applications of Information Theory in the GeosciencesThe Hilbert transform is a well-known tool of time series analysis that has been widely used to investigate oscillatory signals that resemble a noisy periodic oscillation, because it allows instantaneous phase and frequency to be estimated, which in turn uncovers interesting properties of the underlying process that generates the signal. Here we use this tool to analyze atmospheric data: we consider daily-averaged Surface Air Temperature (SAT) time series recorded over a regular grid of locations covering the Earth’s surface. From each SAT time series, we calculate the instantaneous frequency time series by considering the Hilbert analytic signal. The properties of the obtained frequency data set are investigated by plotting the map of the average frequency and the map of the standard deviation of the frequency fluctuations. The average frequency map reveals well-defined large-scale structures: in the extra-tropics, the average frequency in general corresponds to the expected one-year period of solar forcing, while in the tropics, a different behaviour is found, with particular regions having a faster average frequency. In the standard deviation map, large-scale structures are also found, which tend to be located over regions of strong annual precipitation. Our results demonstrate that Hilbert analysis of SAT time-series uncovers meaningful information, and is therefore a promising tool for the study of other climatological variables.MDPIZappalà Dario A., Universitat Politècnica de CatalunyaBarreiro Marcelo, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Física.Masoller Cristina, Universitat Politècnica de Catalunya2022-10-18T14:39:18Z2022-10-18T14:39:18Z2016Artículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion11 happlication/pdfZappalà, D, Barreiro, M y Masoller, C. "Global atmospheric dynamics investigated by using Hilbert Frequency Analysis". Entropy [en línea] 2016 18(11): 408 . 11 h.https://hdl.handle.net/20.500.12008/3423110.3390/e18110408reponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaenengEntropy, 2016, 18(11): 408Las 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 (CC - By 4.0)oai:colibri.udelar.edu.uy:20.500.12008/342312026-04-14T10:10:00Z |
| spellingShingle | Global atmospheric dynamics investigated by using Hilbert Frequency Analysis Zappalà, Dario A. Time-series analysis Hilbert transform Atmospheric phenomena Climate dynamics Variability Complex systems External forcing Noise |
| status_str | publishedVersion |
| title | Global atmospheric dynamics investigated by using Hilbert Frequency Analysis |
| title_full | Global atmospheric dynamics investigated by using Hilbert Frequency Analysis |
| title_fullStr | Global atmospheric dynamics investigated by using Hilbert Frequency Analysis |
| title_full_unstemmed | Global atmospheric dynamics investigated by using Hilbert Frequency Analysis |
| title_short | Global atmospheric dynamics investigated by using Hilbert Frequency Analysis |
| title_sort | Global atmospheric dynamics investigated by using Hilbert Frequency Analysis |
| topic | Time-series analysis Hilbert transform Atmospheric phenomena Climate dynamics Variability Complex systems External forcing Noise |
| url | https://hdl.handle.net/20.500.12008/34231 |