Relationship Between Multivariate Enso Index (MEI) and SST of Niños regions with the precipitation in the homogeneous regions on Rio Grande do Sul State

Detalhes bibliográficos
Autor(a) principal: Lopes, Fábio Ziemann
Data de Publicação: 2007
Outros Autores: Diniz, Gilberto Barbosa, Marques, Júlio Renato
Tipo de documento: Artigo
Idioma: por
Título da fonte: Anuário do Instituto de Geociências (Online)
Texto Completo: https://revistas.ufrj.br/index.php/aigeo/article/view/6764
Resumo: On Rio Grande do Sul the seasons of the year are well defined being felt, in its peculiar characteristics, in the winter, in the spring, in the summer and in the autumn. The pluviometric regime is quite regular and the precipitations are well distributed during all the year on the State. The Multivariate Enso Index (MEI) lacks of a study about its relations with the precipitation. It is a numeric index that integrates the action of different factors that characterize the phenomenon and that oscilate between positive values for the warm phase, the El Niño, and negative values for the cold phase, the La Niña. It considers, in its composition, the following variables: sea level pressure, zonal and meridional wind components at the surface, the Sea Surface Temperature (SST), the air temperature at the surface and a cloudiness indicator. This work had the objective to study the relations between the MEI and the SST of the Niño regions with the precipitations on Rio Grande do Sul State. For this, it were utilized total monthly data of precipitation from 40 meteorological stations of Rio Grande do Sul, bimonthly data of MEI and SST of the Niño regions for the period 1950 to 2002. The correlation coefficients between the precipitation of the Rio Grande Do Sul with the MEI and the regions of the Niños showed low values due to the fact of if using only the months of the beginning and end of the event. The MEI, although to be a more complex index of the methodologic point of view, it does not improve the coefficients of correlation with the precipitation of the State of the Rio Grande do Sul, and it always presents lesser or equal values to obtained when using the TSM of the regions of the Niños in the out/nov and nov/dez coupled of months. The MEI and the Niños regions 3 and 3.4 present the highest correlation coefficient with the Rio Grande do Sul State precipitation for the bimonths oct/nov and nov/dec.
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spelling Relationship Between Multivariate Enso Index (MEI) and SST of Niños regions with the precipitation in the homogeneous regions on Rio Grande do Sul StateRelação entre o Multivariate Enso Index (MEI) e a TSM das regiões dos Niños com a precipitação em regiões homogêneas do Estado do Rio Grande do SulOn Rio Grande do Sul the seasons of the year are well defined being felt, in its peculiar characteristics, in the winter, in the spring, in the summer and in the autumn. The pluviometric regime is quite regular and the precipitations are well distributed during all the year on the State. The Multivariate Enso Index (MEI) lacks of a study about its relations with the precipitation. It is a numeric index that integrates the action of different factors that characterize the phenomenon and that oscilate between positive values for the warm phase, the El Niño, and negative values for the cold phase, the La Niña. It considers, in its composition, the following variables: sea level pressure, zonal and meridional wind components at the surface, the Sea Surface Temperature (SST), the air temperature at the surface and a cloudiness indicator. This work had the objective to study the relations between the MEI and the SST of the Niño regions with the precipitations on Rio Grande do Sul State. For this, it were utilized total monthly data of precipitation from 40 meteorological stations of Rio Grande do Sul, bimonthly data of MEI and SST of the Niño regions for the period 1950 to 2002. The correlation coefficients between the precipitation of the Rio Grande Do Sul with the MEI and the regions of the Niños showed low values due to the fact of if using only the months of the beginning and end of the event. The MEI, although to be a more complex index of the methodologic point of view, it does not improve the coefficients of correlation with the precipitation of the State of the Rio Grande do Sul, and it always presents lesser or equal values to obtained when using the TSM of the regions of the Niños in the out/nov and nov/dez coupled of months. The MEI and the Niños regions 3 and 3.4 present the highest correlation coefficient with the Rio Grande do Sul State precipitation for the bimonths oct/nov and nov/dec.No Rio Grande do Sul, as estações do ano são bem definidas sendo sentidos, em suas características peculiares, o inverno, a primavera, o verão e o outono. O regime pluviométrico é bastante regular e as chuvas são bem distribuídas durante todo o ano no Estado. O Índice Multivariado do El Niño Oscilação Sul (MEI) carece de um estudo de sua relação com a precipitação. Ele é um índice numérico que integra a ação de diferentes fatores que caracterizam o fenômeno e que oscila entre valores positivos para a fase quente, o El Niño, e valores negativos para a fase fria, a La Nina. Considera na sua composição, as seguintes variáveis: pressão ao nível do mar, as componentes zonal e meridional do vento em superfície, a Temperatura da Superfície do Mar (TSM), a temperatura do ar em superfície e um indicador de nebulosidade. Este trabalho teve como objetivo, estudar as relações entre o MEI e a TSM das regiões dos Niños com as precipitações no Estado do Rio Grande do Sul. Para isso, foram utilizados dados de totais mensais de precipitação de 40 estações meteorológicas do Rio Grande do Sul, dados bimestrais do MEI e de TSM das regiões dos Niños para o período de 1950 a 2002. Os coeficientes de correlação entre precipitação do Rio Grande do Sul com o MEI e as regiões dos Niños apresentaram valores baixos devido ao fato de se utilizar apenas os meses do início e final do evento. O MEI, apesar de ser um índice mais complexo do ponto de vista metodológico, não melhora os coeficientes de correlação com a precipitação do Estado do Rio Grande do Sul, e sempre apresenta valores menores ou iguais aos obtidos ao utilizar a TSM das regiões dos Niños nos bimestres de out/nov e nov/dez. O MEI e as regiões dos Niños 3, 3.4 são as que apresentam os maiores coeficientes de correlação com a precipitação do Rio Grande do Sul para os bimestres out/nov e nov/dez.Universidade Federal do Rio de Janeiro2007-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/676410.11137/2007_2_11-22Anuário do Instituto de Geociências; Vol 30, No 2 (2007); 11-22Anuário do Instituto de Geociências; Vol 30, No 2 (2007); 11-221982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJporhttps://revistas.ufrj.br/index.php/aigeo/article/view/6764/5361Copyright (c) 2007 Anuário do Instituto de Geociênciashttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessLopes, Fábio ZiemannDiniz, Gilberto BarbosaMarques, Júlio Renato2017-01-23T21:48:24Zoai:www.revistas.ufrj.br:article/6764Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2017-01-23T21:48:24Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Relationship Between Multivariate Enso Index (MEI) and SST of Niños regions with the precipitation in the homogeneous regions on Rio Grande do Sul State
Relação entre o Multivariate Enso Index (MEI) e a TSM das regiões dos Niños com a precipitação em regiões homogêneas do Estado do Rio Grande do Sul
title Relationship Between Multivariate Enso Index (MEI) and SST of Niños regions with the precipitation in the homogeneous regions on Rio Grande do Sul State
spellingShingle Relationship Between Multivariate Enso Index (MEI) and SST of Niños regions with the precipitation in the homogeneous regions on Rio Grande do Sul State
Lopes, Fábio Ziemann
title_short Relationship Between Multivariate Enso Index (MEI) and SST of Niños regions with the precipitation in the homogeneous regions on Rio Grande do Sul State
title_full Relationship Between Multivariate Enso Index (MEI) and SST of Niños regions with the precipitation in the homogeneous regions on Rio Grande do Sul State
title_fullStr Relationship Between Multivariate Enso Index (MEI) and SST of Niños regions with the precipitation in the homogeneous regions on Rio Grande do Sul State
title_full_unstemmed Relationship Between Multivariate Enso Index (MEI) and SST of Niños regions with the precipitation in the homogeneous regions on Rio Grande do Sul State
title_sort Relationship Between Multivariate Enso Index (MEI) and SST of Niños regions with the precipitation in the homogeneous regions on Rio Grande do Sul State
author Lopes, Fábio Ziemann
author_facet Lopes, Fábio Ziemann
Diniz, Gilberto Barbosa
Marques, Júlio Renato
author_role author
author2 Diniz, Gilberto Barbosa
Marques, Júlio Renato
author2_role author
author
dc.contributor.author.fl_str_mv Lopes, Fábio Ziemann
Diniz, Gilberto Barbosa
Marques, Júlio Renato
description On Rio Grande do Sul the seasons of the year are well defined being felt, in its peculiar characteristics, in the winter, in the spring, in the summer and in the autumn. The pluviometric regime is quite regular and the precipitations are well distributed during all the year on the State. The Multivariate Enso Index (MEI) lacks of a study about its relations with the precipitation. It is a numeric index that integrates the action of different factors that characterize the phenomenon and that oscilate between positive values for the warm phase, the El Niño, and negative values for the cold phase, the La Niña. It considers, in its composition, the following variables: sea level pressure, zonal and meridional wind components at the surface, the Sea Surface Temperature (SST), the air temperature at the surface and a cloudiness indicator. This work had the objective to study the relations between the MEI and the SST of the Niño regions with the precipitations on Rio Grande do Sul State. For this, it were utilized total monthly data of precipitation from 40 meteorological stations of Rio Grande do Sul, bimonthly data of MEI and SST of the Niño regions for the period 1950 to 2002. The correlation coefficients between the precipitation of the Rio Grande Do Sul with the MEI and the regions of the Niños showed low values due to the fact of if using only the months of the beginning and end of the event. The MEI, although to be a more complex index of the methodologic point of view, it does not improve the coefficients of correlation with the precipitation of the State of the Rio Grande do Sul, and it always presents lesser or equal values to obtained when using the TSM of the regions of the Niños in the out/nov and nov/dez coupled of months. The MEI and the Niños regions 3 and 3.4 present the highest correlation coefficient with the Rio Grande do Sul State precipitation for the bimonths oct/nov and nov/dec.
publishDate 2007
dc.date.none.fl_str_mv 2007-12-01
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dc.identifier.uri.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/6764
10.11137/2007_2_11-22
url https://revistas.ufrj.br/index.php/aigeo/article/view/6764
identifier_str_mv 10.11137/2007_2_11-22
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/6764/5361
dc.rights.driver.fl_str_mv Copyright (c) 2007 Anuário do Instituto de Geociências
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2007 Anuário do Instituto de Geociências
http://creativecommons.org/licenses/by/4.0
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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 30, No 2 (2007); 11-22
Anuário do Instituto de Geociências; Vol 30, No 2 (2007); 11-22
1982-3908
0101-9759
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