Multidecadal Cycles Study in the Climate Indexes Series Using Wavelet Analysis in North/Northeast Brazil

Detalhes bibliográficos
Autor(a) principal: Corrêa, Cleber Souza
Data de Publicação: 2019
Outros Autores: Guedes, Roberto Lage, Corrêa, Karlmer Abel Bueno, Pilau, Felipe Gustavo
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Anuário do Instituto de Geociências (Online)
Texto Completo: https://revistas.ufrj.br/index.php/aigeo/article/view/29967
Resumo: This study investigates the climatic indexes time series, with a period of the most recent 80 years, with monthly mean values, using the Pacific Decadal Oscillation Index (PDO), Southern Oscillation Index (SOI), and the monthly solar activity time series with the sunspots number (MS), obtained from the National Weather Service’s website - Climate Prediction Center and Sunspot data from the World Data Center SILSO, Royal Observatory of Belgium, Brussels. The statistical software R was used with the WaveletComp package to generate the Morlet wavelet power spectra, bivariate analysis with cross-wavelet and the biwavelet package. As a result, predominant cycles were obtained and order variabilities of 32, 64, 128 and 256 months were observed, with approximately 2.66, 5.33, 10.66 and 21.33 years. These frequencies are observed in the variability of the period from January 1933 to September 2016, in the total of 993 months (82.75 years), characterizing decadal variations for multidecadal. These observed multidecadal cycles (of the order of 10.66 and 21.33 years may show a degree of association with the variability of solar activity (Sunspot) with the climatic variability cycles in the Atmospheric/Ocean system. Data from total rainfall from January 1951 to September 2017 were analyzed information located at Belem, São Luiz, Fortaleza, Natal and Fernando de Noronha airports, characterizing a diagonal from the north to the Brazilian northeast, observing that these series show similarity in the decadal and multidecadal cycles found in the SOI/PDO and Sunspot series.
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spelling Multidecadal Cycles Study in the Climate Indexes Series Using Wavelet Analysis in North/Northeast BrazilTime-series analysis; Decadal to multidecadal cycles; Wavelet analysisThis study investigates the climatic indexes time series, with a period of the most recent 80 years, with monthly mean values, using the Pacific Decadal Oscillation Index (PDO), Southern Oscillation Index (SOI), and the monthly solar activity time series with the sunspots number (MS), obtained from the National Weather Service’s website - Climate Prediction Center and Sunspot data from the World Data Center SILSO, Royal Observatory of Belgium, Brussels. The statistical software R was used with the WaveletComp package to generate the Morlet wavelet power spectra, bivariate analysis with cross-wavelet and the biwavelet package. As a result, predominant cycles were obtained and order variabilities of 32, 64, 128 and 256 months were observed, with approximately 2.66, 5.33, 10.66 and 21.33 years. These frequencies are observed in the variability of the period from January 1933 to September 2016, in the total of 993 months (82.75 years), characterizing decadal variations for multidecadal. These observed multidecadal cycles (of the order of 10.66 and 21.33 years may show a degree of association with the variability of solar activity (Sunspot) with the climatic variability cycles in the Atmospheric/Ocean system. Data from total rainfall from January 1951 to September 2017 were analyzed information located at Belem, São Luiz, Fortaleza, Natal and Fernando de Noronha airports, characterizing a diagonal from the north to the Brazilian northeast, observing that these series show similarity in the decadal and multidecadal cycles found in the SOI/PDO and Sunspot series.Universidade Federal do Rio de JaneiroCorrêa, Cleber SouzaGuedes, Roberto LageCorrêa, Karlmer Abel BuenoPilau, Felipe Gustavo2019-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/2996710.11137/2019_1_66_73Anuário do Instituto de Geociências; Vol 42, No 1 (2019); 66-73Anuário do Instituto de Geociências; Vol 42, No 1 (2019); 66-731982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJporenghttps://revistas.ufrj.br/index.php/aigeo/article/view/29967/16906https://revistas.ufrj.br/index.php/aigeo/article/view/29967/16907Copyright (c) 2019 Anuário do Instituto de Geociênciashttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess2019-12-10T15:03:30Zoai:www.revistas.ufrj.br:article/29967Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2019-12-10T15:03:30Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Multidecadal Cycles Study in the Climate Indexes Series Using Wavelet Analysis in North/Northeast Brazil

title Multidecadal Cycles Study in the Climate Indexes Series Using Wavelet Analysis in North/Northeast Brazil
spellingShingle Multidecadal Cycles Study in the Climate Indexes Series Using Wavelet Analysis in North/Northeast Brazil
Corrêa, Cleber Souza
Time-series analysis; Decadal to multidecadal cycles; Wavelet analysis
title_short Multidecadal Cycles Study in the Climate Indexes Series Using Wavelet Analysis in North/Northeast Brazil
title_full Multidecadal Cycles Study in the Climate Indexes Series Using Wavelet Analysis in North/Northeast Brazil
title_fullStr Multidecadal Cycles Study in the Climate Indexes Series Using Wavelet Analysis in North/Northeast Brazil
title_full_unstemmed Multidecadal Cycles Study in the Climate Indexes Series Using Wavelet Analysis in North/Northeast Brazil
title_sort Multidecadal Cycles Study in the Climate Indexes Series Using Wavelet Analysis in North/Northeast Brazil
author Corrêa, Cleber Souza
author_facet Corrêa, Cleber Souza
Guedes, Roberto Lage
Corrêa, Karlmer Abel Bueno
Pilau, Felipe Gustavo
author_role author
author2 Guedes, Roberto Lage
Corrêa, Karlmer Abel Bueno
Pilau, Felipe Gustavo
author2_role author
author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Corrêa, Cleber Souza
Guedes, Roberto Lage
Corrêa, Karlmer Abel Bueno
Pilau, Felipe Gustavo
dc.subject.none.fl_str_mv
dc.subject.por.fl_str_mv Time-series analysis; Decadal to multidecadal cycles; Wavelet analysis
topic Time-series analysis; Decadal to multidecadal cycles; Wavelet analysis
description This study investigates the climatic indexes time series, with a period of the most recent 80 years, with monthly mean values, using the Pacific Decadal Oscillation Index (PDO), Southern Oscillation Index (SOI), and the monthly solar activity time series with the sunspots number (MS), obtained from the National Weather Service’s website - Climate Prediction Center and Sunspot data from the World Data Center SILSO, Royal Observatory of Belgium, Brussels. The statistical software R was used with the WaveletComp package to generate the Morlet wavelet power spectra, bivariate analysis with cross-wavelet and the biwavelet package. As a result, predominant cycles were obtained and order variabilities of 32, 64, 128 and 256 months were observed, with approximately 2.66, 5.33, 10.66 and 21.33 years. These frequencies are observed in the variability of the period from January 1933 to September 2016, in the total of 993 months (82.75 years), characterizing decadal variations for multidecadal. These observed multidecadal cycles (of the order of 10.66 and 21.33 years may show a degree of association with the variability of solar activity (Sunspot) with the climatic variability cycles in the Atmospheric/Ocean system. Data from total rainfall from January 1951 to September 2017 were analyzed information located at Belem, São Luiz, Fortaleza, Natal and Fernando de Noronha airports, characterizing a diagonal from the north to the Brazilian northeast, observing that these series show similarity in the decadal and multidecadal cycles found in the SOI/PDO and Sunspot series.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-01
dc.type.none.fl_str_mv

dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/29967
10.11137/2019_1_66_73
url https://revistas.ufrj.br/index.php/aigeo/article/view/29967
identifier_str_mv 10.11137/2019_1_66_73
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/29967/16906
https://revistas.ufrj.br/index.php/aigeo/article/view/29967/16907
dc.rights.driver.fl_str_mv Copyright (c) 2019 Anuário do Instituto de Geociências
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Anuário do Instituto de Geociências
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
dc.source.none.fl_str_mv Anuário do Instituto de Geociências; Vol 42, No 1 (2019); 66-73
Anuário do Instituto de Geociências; Vol 42, No 1 (2019); 66-73
1982-3908
0101-9759
reponame:Anuário do Instituto de Geociências (Online)
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instname_str Universidade Federal do Rio de Janeiro (UFRJ)
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institution UFRJ
reponame_str Anuário do Instituto de Geociências (Online)
collection Anuário do Instituto de Geociências (Online)
repository.name.fl_str_mv Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)
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