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Apresenta-se neste estudo a avaliacao da metodologia de Analises Multivariadas: Analises em Componente Principal (ACP) e de Agrupamento (AA), aos dados de Temperatura da Superficie do Mar (TSM) para os Oceanos Atlântico (Norte (NATL), Tropical (TROP) e Sul (SATL)) e Pacifico (NINO1+2, NINO3.4, NINO3 e NINO4). Foram utilizados dados mensais de janeiro de 1950 a dezembro de 2010 de TSM obtidos na NOAA (National Oceanic and Atmospheric Administration/Earth System Research Laboratory). As regioes TROP e NINO4 apresentam as maiores TSM para os meses entre dezembro-julho. A regiao NATL apresenta no periodo de agosto-outubro seu maiores valores de TSM. A regiao NINo1+2 apresentou os menores valores de TSM. Os resultados da Analise em Componente Principal (ACP) identificaram maiores pesos na variacao total explicada pelas duas primeiras componentes, que representam cerca de 100% da variância total dos dados de TSM. A Analise de Agrupamento (AA), pelo metodo Ward, permitiu o agrupamento das estacoes em tres grupos homogeneos. Palavras - chave: Analises Multivariadas, Mudancas climaticas, Aquecimento Global.  Study of Sea Surface Temperature for the Atlantic and Pacific Oceans Using the Technique of Principal Component Analysis and Cluster ABSTRACT Presented in this study was to evaluate the methodology of Multivariate Analysis: Principal Component Analysis (PCA) and cluster analysis (CA), the data of sea surface temperature (SST) for the Atlantic (North (NATL), Tropical (TROP) and South (Satler)) and Pacific (+2 NINO1, NINO3.4, and NINO3 NINO4). We used monthly data from January 1950 to December 2010 SST obtained from NOAA (National Oceanic and Atmospheric Administration / Earth System Research Laboratory). TROP and NINO4 regions have the highest SST for the months from December to July. NATL The region has in the period August-October SST your highest values +2 NINo1 The region had the lowest values of TSM. Results on Principal Component Analysis (PCA) identified higher weights in the total variation explained by the first two components, which represent about 100% of the total variance of SST. The Cluster Analysis (AA), the Ward method, allowed the grouping of stations into three homogeneous groups. Keywords: Multivariate Analysis, Climate Change, Global Warming.

revista brasileira de geografia física

Estudo da Temperatura da Superfície do Mar para os Oceanos Atlântico e Pacífico Utilizando a Técnica de Análises de Componente Principal e de Agrupamento (Study of Sea Surface Temperature for the Atlantic and Pacific Oceans Using the Technique of...)