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Variabilidade da precipitação pluviométrica nas regiões Sudeste e Sul do Brasil

Authors: Silva, Eraldo Schunk;

Variabilidade da precipitação pluviométrica nas regiões Sudeste e Sul do Brasil

Abstract

O objetivo deste trabalho foi analisar as variabilidades espacial, sazonal e interanual da precipitação pluviométrica nas regiões Sudeste e Sul do Brasil. Foram utilizadas 164 séries mensais e anuais de chuvas para o período de 1972 a 2002 e dados de médias mensais de radiação de ondas longas emergentes (ROLE), para o período de junho de 1974 a dezembro de 2002, com pontos de grade com resolução espacial de 2,5º x 2,5º, entre as latitudes 20ºN e 35ºS e longitudes entre 0º; 90ºW. A partir das análises de agrupamento, de componentes principais e geoestatística foram identificadas 13 regiões homogêneas de regime de precipitação. A precipitação anual variou de 956 mm nos vales do São Francisco- Jequitinhonha a 1830 mm na Bacia do Iguaçu-Chapecó. As três primeiras componentes principais (CP) da matriz de médias mensais de precipitação explicam conjuntamente, 61,49% da variância. A primeira CP representa o campo médio de precipitação, a segunda CP representa o período de verão e a terceira CP apresenta dois pontos extremos: o mês de novembro e o mês de fevereiro. Através dos dados de ROLE analisou-se a influência da Zona de Convergência do Atlântico Sul (ZCAS) na precipitação. As três primeiras componentes principais da matriz de médias mensais de ROLE explicam conjuntamente 96,27% da variância. A primeira CP representa a convecção média. A segunda CP representa o período de primavera e a terceira CP representa o período de verão. As correlações, significativas ao nível de 5%, obtidas entre os autovetores das matrizes de precipitação pluviométrica e de ROLE, corroboram a influência da ZCAS no regime de precipitação das regiões Sudeste e Sul do Brasil.

The spatial, seasonal and interannual variability of rainfall in Southeastern and Southern Brazil were analyzed. For that, 164 series of rainfall for the period of 1972 to 2002 and data about outgoing longwave radiation (OLR) for the period of 1974 to 2002 were utilized. From the clusters analysis and components analysis (PCA), 13 homogeneous regions under precipitation regime were identified. The annual rainfall varied from 956 mm in São Francisco-Jequitinhonha valleys to 1830 mm in Iguaçu-Chapecó basin. The three first matrix principal components (PC) of monthly average rainfall (average of 30 years) explain together 61.49% of the variance. The first PC represents the mean rainfall field, the second PC represents the extended rainy period (September to May) and the third PC presents two extreme points: November indicates the end of spring and the beginning of summer; and February indicates the end of summer and the beginning of autumn. The OLR influence on the rainfall variability in the Southeast and in the South was also evaluated. Through the PCA, the behavior of the South Atlantic Convergence Zone (SACZ) was studied together with its influence on the rainfall variability. The three first matrix main components of OLR monthly average (average of 30 years) explain together 96.27% of the variance. The first main component (CP) is associated to the period of autumn. The second PC represents the winter/summer period, and the third PC represents summertime. The correlations, significative to the level of 5%, obtained between the rainfall and OLR eigenvectors, attest their influence on the rainfall regime in Southeastern and Southern Brazil.

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Universidade Estadual Paulista (UNESP)

Pqi

Country
Brazil
Keywords

Precipitation variability, Radiação, Precipitação (Meteorologia) - Variabilidade, Zona de convergência do Atlântico Sul

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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