EL NIÑO-SOUTHERN OSCILLATION INFLUENCE ON THE PRECIPITATION IN MARINGÁ-PR, BETWEEN 1980 AND 2016
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | |
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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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 |
_version_ |
1797067016491761664 |