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@Article{RepelliNobr:2004:StPrSe,
               author = "Repelli, Carlos Alberto and Nobre, Paulo",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Statistical prediction of sea-surface temperature over the 
                         tropical Atlantic",
              journal = "International Journal of Climatology",
                 year = "2004",
               volume = "24",
               number = "1",
                pages = "45--55",
                month = "Jan.",
             keywords = "Atlantic, canonical correlation analysis, climate modelling, 
                         sea-surface temperature, statistical prediction.",
             abstract = "A statistical system to predict sea-surface temperature anomalies 
                         (SSTAs) over the tropical oceans, with emphasis on the tropical 
                         Atlantic, is described. Canonical correlation analysis is used to 
                         identify critical sequences of predictor patterns, which tend to 
                         evolve into subsequent patterns and which can be used to form a 
                         forecast. The results indicate that SST fields over the equatorial 
                         Pacific and tropical Atlantic can be a potential predictor of the 
                         SSTAs over the tropical Atlantic 3-4 months in advance. The 
                         spatial structures of the SSTAs over the tropical Atlantic for the 
                         period March-May are well captured by the predictions done with 
                         initial conditions from September to February. Model performance 
                         is better over the northern tropical Atlantic than over the 
                         southern tropical Atlantic, where persistence is hardly beaten. 
                         Results of this work can contribute to improve seasonal climate 
                         predictions of rainfall anomalies over the northeast Brazil 
                         region.",
           copyholder = "SID/SCD",
                  doi = "10.1002/joc.982",
                  url = "http://dx.doi.org/10.1002/joc.982",
                 issn = "0899-8418",
                label = "self-archiving-INPE-MCTIC-GOV-BR",
             language = "en",
           targetfile = "982_ftp.pdf",
        urlaccessdate = "28 mar. 2024"
}


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