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O Sudeste do Brasil e uma regiao intrinsecamente dependente do regime pluviometrico, visto que, este subsidia diversos setores da economia, como a agricultura e hidreletricas, tornando de grande importância o estudo desta variavel, a fim de prover a identificacao compreensao de sua dinâmica ao longo do tempo. Desta forma, nesta pesquisa objetivou-se analisar a dinâmica temporal dos eventos extremos secos e chuvosos mais expressivos no Sudeste do Brasil, atraves do Indice de Precipitacao Normalizado (SPI). Para isto, utilizaram-se dados mensais de precipitacao do GPCP, no periodo de 1979 a 2014. Alem disso, foi investigada as tendencias destes eventos secos e chuvosos sobre a Regiao e a relacao destes com os padroes de baixa frequencia. Os resultados mostraram que a decada de 80 apresentou o maior evento extremo de chuva. Por outro lado, observou-se na decada de 2010 o maior evento extremo de seca. As analises das tendencias evidenciaram tendencias decrescentes nos valores do SPI-3, 6 e 12 meses, indicando desta forma diminuicao (aumento) dos eventos chuvosos (secos). Alem disso, estes eventos apresentaram uma elevada dependencia com os indices dos fenomenos de baixa frequencia. Normal 0 false false false PT-BR X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabela normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri",sans-serif; mso-ansi-language:PT-BR; mso-fareast-language:PT-BR;} A B S T R A C T Brazil's Southeast region is intrinsically dependent on the rainfall regime, this variable benefits many sectors of the economy such as agriculture and hydropower, playing a huge role in the study of this variable, in order to provide identification and understanding its dynamic over time. Thus, this study aimed to analyze the temporal dynamics of the extreme dry and rainy events more expressive in Brazil's Southeast, through the Standardised Precipitation Index (SPI). For this, we used monthly data of precipitation from Global Precipitation Climatology Project ( GPCP) database in the period 1979-2014. In addition, we investigated the trends of these dry and rainy events over the study area and their relationship with the low-frequency patterns. The results showed that the 80s had the highest extreme rainy event. Moreover, it was observed in the 2010s the highest extreme dry event. The trend analyzes showed decreasing trends in the values of SPI-3, 6 and 12 months, indicating a decrease (increase) of rainy events (dry). In addition, through multivariate analysis it was found that the dry and rainy events over Brazil's Southeast are directly related with low-frequency patterns. Keywords: Southeast, SPI, Extremes, rainy , dry.

Dinâmica temporal em múltiplas escalas de tempo dos eventos secos e chuvosos no Sudeste do Brasil (Temporal dynamics at multiple scales time of the dry and rainy events in southeastern Brazil)