@InProceedings{NobreMourSun:2000:PrClSa,
               author = "Nobre, Paulo and Moura, Antonio Divino and Sun, Liqiang",
          affiliation = "{Centro de Previsao de Tempo e Estudos Climaticos - CPTEC/INPE} 
                         and {International Research Institute for climate prediction – 
                         IRI/LDEO} and {International Research Institute for climate 
                         prediction – IRI/LDEO}",
                title = "Previsao climatica sazonal da pluviometria sobre o norte da 
                         America do Sul com o modelo dinamico regional RSM no IRI",
            booktitle = "Proceedings...",
                 year = "2000",
                pages = "3283--3286",
         organization = "Congresso Brasileiro de Meteorologia, 11.",
            publisher = "SBMET",
             keywords = "meteorologia.",
             abstract = "This study presents an evaluation of seasonal rainfall forecasts 
                         done with the International Research Institute for Climate 
                         Prediction (IRI) dynamical forecast system over northern South 
                         America for February to April of 1998 and 1999, the Brazil's 
                         Nordeste rainy period. The regional model’s forecast are compared 
                         with those of the global model and observations. It is shown that 
                         the regional model can improve the rainfall forecast over the 
                         Brazilian Nordeste, mainly due to a better forecast of the 
                         position and width of the Intertropical Convergence Zone over the 
                         Tropical Atlantic. It is also shown that the statistics of 
                         synoptic scale weather variability on seasonal time scales were 
                         forecast with the RSM model over the Nordeste.",
  conference-location = "Rio de Janeiro (RJ)",
      conference-year = "16-20 out. 2000",
             language = "pt",
           targetfile = "Nobre_Previsao climatica sazonal.pdf",
                 type = "PRE",
        urlaccessdate = "03 maio 2024"
}