Padrões Climáticos da Razão de Mistura do Ar em Minas Gerais/Brasil (Weather Patterns of Air Mixing Ratio in Minas Gerais/Brazil)
DOI:
https://doi.org/10.5935/1984-2295.20150094Keywords:
técnicas multivariadas, sistemas meteorológicos e variabilidade climática.Abstract
Padrões espaço-temporais da razão de mistura no estado de Minas Gerais serão definidos neste trabalho. Para isso, foram empregadas as técnicas multivariadas de Análise de Componentes Principais e de Agrupamentos aos dados mensais de razão de mistura de 39 estações climatológicas com 30 anos comuns de observações. O emprego da ACP mostrou a existência de dois padrões dominantes da razão de mistura que explicaram aproximadamente 98% da variância total dos dados. O primeiro, relacionado à maior concentração de umidade, mostra a atuação da ZCAS, dos sistemas frontais e influência orográfica. O segundo está associado ao ASAS. As três regiões homogêneas de razão de mistura, utilizando o método hierárquico de Ward, identificaram bem a sazonalidade dessa componente termodinâmica. Portanto, os resultados obtidos evidenciaram que as chuvas de verão e outono são influenciadas pelas ZCAS e pelos sistemas frontais. No inverno, esses sistemas enfraquecem e a intensidade das chuvas diminui na região. A B S T R A C T Space-time standards of mixing ratio in the state of Minas Gerais will be defined in this work. For this, we used multivariate techniques of Principal Component Analysis and Cluster Analysis to monthly data of mixing ratio of 39 weather stations with 30 years of common observations. The use of PCA showed the existence of two dominant patterns of mixing ratio that accounted for approximately 98% of the total variance. The first, related to higher moisture concentration, shows the performance of the SACZ, of the frontal systems and orographic influence. The second is associated with Subtropical Anticyclone of the South Atlantic (SASA). The three homogeneous regions of mixing ratio, using the hierarchical method of Ward, identified seasonality of this thermodynamic component. Therefore, the results showed that the summer rains and autumn are influenced by SACZ and the frontal systems. In winter, these systems weaken and the intensity of rainfall decreases in the region. Keywords: multivariate techniques, weather systems and climate variability.Downloads
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Copyright (c) 2016 Edicarlos Pereira de Sousa, Adriana Costa, Celia Braga, José Ivaldo Brito, Madson Silva
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