@InProceedings{LaureantiChaTavBalNob:2022:CaExPr,
               author = "Laureanti, Nicole Cristine and Chan, Chou Sin and Tavares, 
                         Priscila da Silva and Baltazar, Roberto Leo dos Santos and Nobre, 
                         Paulo",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Caracteriza{\c{c}}{\~a}o de extremos de precipita{\c{c}}{\~a}o 
                         na Bacia do S{\~a}o Francisco",
            booktitle = "Anais...",
                 year = "2022",
         organization = "Simp{\'o}sio da Bacia Hidrogr{\'a}fica do Rio S{\~a}o 
                         Francisco, 4.",
             keywords = "diagn{\'o}stico, variabilidade, composi{\c{c}}{\~a}o.",
             abstract = "Diagnosing the drivers of extreme precipitation events over the 
                         S{\~a}o Francisco River basin is important for water management 
                         purposes. This work proposes a new approach to characterizing 
                         extremes. The extremes are found through Principal Components 
                         Analysis (PCA) of the MERGE precipitation dataset produced by 
                         CPTEC/INPE. The time series considers the mean monthly 
                         precipitation over the S{\~a}o Francisco basin within 
                         December-January-February, which is the rainy season over most 
                         parts of the basin. The time series of rainfall extremes was 
                         correlated with climate indexes and a diagnosis is held in the 
                         most extreme using composite analysis. The extreme events were 
                         compared to those found in the literature. The patterns of sea 
                         surface temperature and wind at upper levels during the events 
                         strongly emphasize that the most contributing factor to the 
                         precipitation is the South Atlantic Convergence Zone (SACZ).",
  conference-location = "Belo Horizonte/MG",
      conference-year = "2022",
                label = "lattes: 8103555820310980 1 LaureantiChaTavBalNob:2022:CaExPr",
             language = "pt",
           targetfile = "509056.pdf",
        urlaccessdate = "20 maio 2024"
}