@InProceedings{Sansigolo:1998:VeMoDi,
               author = "Sansigolo, Clovis Angeli",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Verifica{\c{c}}{\~a}o de um modelo discriminadamente de 
                         previs{\~a}o das precipita{\c{c}}{\~o}es sazonais no nordeste",
            booktitle = "Anais...",
                 year = "1998",
         organization = "Congresso Brasileiro de Meteorologia, 10.",
             keywords = "Precipita{\c{c}}{\~o}es sazonais, nordeste, precipitation, 
                         forecasting.",
             abstract = "The most commonly used skill scores, including that of Heidke, 
                         Kuippers, average distance, Brier and LEPS, were used to evaluate 
                         a linear discriminant forecasting model of northeastem Brazil 
                         seasonal rainfall. The Heidke and the Kuipers scores overestimated 
                         the model performance. The Brier and probabilistic LEPS scores 
                         agreed conceming to wet and average categorie forecastings, as the 
                         average distance and probs. LEPS for the dry ones. The 
                         crossvalidation results of the forecasting model were, according 
                         to the probs. LEPS scores, good for wet categories (38% 
                         improvement over climate), reasonable for dry categories (29%), 
                         and poor for average (5%).",
  conference-location = "Bras{\'{\i}}lia",
      conference-year = "26-30 out.",
           copyholder = "SID/SCD",
             language = "pt",
         organisation = "SBMET",
           targetfile = "Sansigolo_Verificacao de um modelo.pdf",
        urlaccessdate = "21 maio 2024"
}