EL NIÑO-SOUTHERN OSCILLATION INFLUENCE ON THE PRECIPITATION IN MARINGÁ-PR, BETWEEN 1980 AND 2016

Detalhes bibliográficos
Autor(a) principal: Minaki, Cíntia
Data de Publicação: 2019
Outros Autores: Montanher, Otávio Cristiano
Tipo de documento: Artigo
Idioma: por
Título da fonte: Caminhos de Geografia
Texto Completo: https://seer.ufu.br/index.php/caminhosdegeografia/article/view/41220
Resumo: The El Niño-Southern Oscillation (ENSO) affects the climate from different regions of the world which the Southern Brazil is an example. So, it was aimed to understand the ENSO influence on precipitation anomalies in the municipality of Maringá-PR, placed in Central North region of the Paraná State. By using monthly data series of precipitation, from 1980 to 2016, collected in the Principal Climatological Station of Maringá (PCSM)/INMET, it was calculated the local rainfall anomalies. Were also used the Southern Oscillation Index (SOI) and Sea Surface Temperature (SST) data, provided by the National Oceanic and Atmospheric Administration (NOAA). To understand the relationship between precipitation anomalies and ENSO (described by the SOI), it was applied the Pearson and Kendall correlations. Were applied also median tests between three groups of precipitation anomalies: months under El Niño influence, months under La Niña Influence and months of neutral conditions. Results indicated autumn and spring months as the periods of higher correlation among the variables, and the lag time varied from zero to five months. The statistical tests demonstrated positive values of precipitation anomalies during El Niño months, but it is not possible to conclude the inverse effect, at the same intensity, for La Niña.   
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spelling EL NIÑO-SOUTHERN OSCILLATION INFLUENCE ON THE PRECIPITATION IN MARINGÁ-PR, BETWEEN 1980 AND 2016INFLUÊNCIA DO EL NIÑO-OSCILAÇÃO SUL NA PRECIPITAÇÃO EM MARINGÁ-PR, NO PERÍODO DE 1980 A 2016Anomalia de chuvaÍndice Oscilação Sul (IOS)Temperatura da Superfície do Mar (TSM)CorrelaçãoThe El Niño-Southern Oscillation (ENSO) affects the climate from different regions of the world which the Southern Brazil is an example. So, it was aimed to understand the ENSO influence on precipitation anomalies in the municipality of Maringá-PR, placed in Central North region of the Paraná State. By using monthly data series of precipitation, from 1980 to 2016, collected in the Principal Climatological Station of Maringá (PCSM)/INMET, it was calculated the local rainfall anomalies. Were also used the Southern Oscillation Index (SOI) and Sea Surface Temperature (SST) data, provided by the National Oceanic and Atmospheric Administration (NOAA). To understand the relationship between precipitation anomalies and ENSO (described by the SOI), it was applied the Pearson and Kendall correlations. Were applied also median tests between three groups of precipitation anomalies: months under El Niño influence, months under La Niña Influence and months of neutral conditions. Results indicated autumn and spring months as the periods of higher correlation among the variables, and the lag time varied from zero to five months. The statistical tests demonstrated positive values of precipitation anomalies during El Niño months, but it is not possible to conclude the inverse effect, at the same intensity, for La Niña.   O El Niño-Oscilação Sul influencia o clima de diferentes regiões do mundo, das quais o Sul do Brasil é um exemplo. Assim, buscou-se compreender a influência do ENOS nas anomalias pluviométricas do município de Maringá-PR, localizado na Mesorregião Norte Central Paranaense. Com a série de dados mensais de precipitação, de 1980 a 2016, da Estação Climatológica Principal de Maringá (ECPM), calculou-se as anomalias locais de chuva. Utilizou-se também os dados do Índice Oscilação Sul (IOS) e da Temperatura da Superfície do Mar (TSM), divulgados pela National Oceanic and Atmospheric Administration (NOAA). Para compreender se as anomalias de chuva podem ser explicadas pelo ENOS, com base no IOS, aplicou-se as correlações de Pearson (r) e de Kendall (τ). Aplicou-se também testes de mediana entre as anomalias de precipitação de três grupos: meses com influência do El Niño, La Niña e em condições neutras. Os resultados indicaram meses do outono e da primavera como os de maior correlação entre as variáveis, e a defasagem temporal variou de zero a cinco meses entre os coeficientes utilizados. Os testes estatísticos demonstraram a anomalia positiva de chuva em meses de El Niño, não sendo possível concluir o inverso, na mesma intensidade, para o La Niña. EDUFU - Editora da Universidade Federal de Uberlândia2019-07-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado pelos paresapplication/pdfhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/4122010.14393/RCG206941220Caminhos de Geografia; Vol. 20 No. 69 (2019): Março; 266–281Caminhos de Geografia; Vol. 20 Núm. 69 (2019): Março; 266–281Caminhos de Geografia; v. 20 n. 69 (2019): Março; 266–2811678-6343reponame:Caminhos de Geografiainstname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/41220/26389Copyright (c) 2019 Cíntia Minaki, Otávio Cristiano Montanherinfo:eu-repo/semantics/openAccessMinaki, CíntiaMontanher, Otávio Cristiano2019-07-23T17:23:15Zoai:ojs.www.seer.ufu.br:article/41220Revistahttps://seer.ufu.br/index.php/caminhosdegeografia/indexPUBhttp://www.seer.ufu.br/index.php/caminhosdegeografia/oaiflaviasantosgeo@gmail.com1678-63431678-6343opendoar:2019-07-23T17:23:15Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv EL NIÑO-SOUTHERN OSCILLATION INFLUENCE ON THE PRECIPITATION IN MARINGÁ-PR, BETWEEN 1980 AND 2016
INFLUÊNCIA DO EL NIÑO-OSCILAÇÃO SUL NA PRECIPITAÇÃO EM MARINGÁ-PR, NO PERÍODO DE 1980 A 2016
title EL NIÑO-SOUTHERN OSCILLATION INFLUENCE ON THE PRECIPITATION IN MARINGÁ-PR, BETWEEN 1980 AND 2016
spellingShingle EL NIÑO-SOUTHERN OSCILLATION INFLUENCE ON THE PRECIPITATION IN MARINGÁ-PR, BETWEEN 1980 AND 2016
Minaki, Cíntia
Anomalia de chuva
Índice Oscilação Sul (IOS)
Temperatura da Superfície do Mar (TSM)
Correlação
title_short EL NIÑO-SOUTHERN OSCILLATION INFLUENCE ON THE PRECIPITATION IN MARINGÁ-PR, BETWEEN 1980 AND 2016
title_full EL NIÑO-SOUTHERN OSCILLATION INFLUENCE ON THE PRECIPITATION IN MARINGÁ-PR, BETWEEN 1980 AND 2016
title_fullStr EL NIÑO-SOUTHERN OSCILLATION INFLUENCE ON THE PRECIPITATION IN MARINGÁ-PR, BETWEEN 1980 AND 2016
title_full_unstemmed EL NIÑO-SOUTHERN OSCILLATION INFLUENCE ON THE PRECIPITATION IN MARINGÁ-PR, BETWEEN 1980 AND 2016
title_sort EL NIÑO-SOUTHERN OSCILLATION INFLUENCE ON THE PRECIPITATION IN MARINGÁ-PR, BETWEEN 1980 AND 2016
author Minaki, Cíntia
author_facet Minaki, Cíntia
Montanher, Otávio Cristiano
author_role author
author2 Montanher, Otávio Cristiano
author2_role author
dc.contributor.author.fl_str_mv Minaki, Cíntia
Montanher, Otávio Cristiano
dc.subject.por.fl_str_mv Anomalia de chuva
Índice Oscilação Sul (IOS)
Temperatura da Superfície do Mar (TSM)
Correlação
topic Anomalia de chuva
Índice Oscilação Sul (IOS)
Temperatura da Superfície do Mar (TSM)
Correlação
description The El Niño-Southern Oscillation (ENSO) affects the climate from different regions of the world which the Southern Brazil is an example. So, it was aimed to understand the ENSO influence on precipitation anomalies in the municipality of Maringá-PR, placed in Central North region of the Paraná State. By using monthly data series of precipitation, from 1980 to 2016, collected in the Principal Climatological Station of Maringá (PCSM)/INMET, it was calculated the local rainfall anomalies. Were also used the Southern Oscillation Index (SOI) and Sea Surface Temperature (SST) data, provided by the National Oceanic and Atmospheric Administration (NOAA). To understand the relationship between precipitation anomalies and ENSO (described by the SOI), it was applied the Pearson and Kendall correlations. Were applied also median tests between three groups of precipitation anomalies: months under El Niño influence, months under La Niña Influence and months of neutral conditions. Results indicated autumn and spring months as the periods of higher correlation among the variables, and the lag time varied from zero to five months. The statistical tests demonstrated positive values of precipitation anomalies during El Niño months, but it is not possible to conclude the inverse effect, at the same intensity, for La Niña.   
publishDate 2019
dc.date.none.fl_str_mv 2019-07-03
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado pelos pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/41220
10.14393/RCG206941220
url https://seer.ufu.br/index.php/caminhosdegeografia/article/view/41220
identifier_str_mv 10.14393/RCG206941220
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/41220/26389
dc.rights.driver.fl_str_mv Copyright (c) 2019 Cíntia Minaki, Otávio Cristiano Montanher
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Cíntia Minaki, Otávio Cristiano Montanher
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EDUFU - Editora da Universidade Federal de Uberlândia
publisher.none.fl_str_mv EDUFU - Editora da Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Caminhos de Geografia; Vol. 20 No. 69 (2019): Março; 266–281
Caminhos de Geografia; Vol. 20 Núm. 69 (2019): Março; 266–281
Caminhos de Geografia; v. 20 n. 69 (2019): Março; 266–281
1678-6343
reponame:Caminhos de Geografia
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Caminhos de Geografia
collection Caminhos de Geografia
repository.name.fl_str_mv Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv flaviasantosgeo@gmail.com
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