@InProceedings{MoncunilSSMCSMN:2002:BrDeSi,
               author = "Moncunil, David Ferran and Silva, Emerson Mariano and Silva Filho, 
                         Vicente de Paula and Melciades, Wagner Luis Barbosa and Costa, 
                         Alexandre Araujo and Sun, Liqiang and Moura, Antonio Divino and 
                         Nobre, Paulo",
          affiliation = "Instituto Nacional de Pesquisas Espaciais, Centro de Previs{\~a}o 
                         do Tempo e Estudos Clim{\'a}ticos (INPE.CPTEC)",
                title = "Uma breve descri{\c{c}}{\~a}o do sistema de previs{\~a}o 
                         clim{\'a}tica regionalizada (Downscaling Din{\^a}mico)implantado 
                         na FUNCEME",
            booktitle = "Anais...",
                 year = "2002",
                pages = "1291--1296",
         organization = "Congresso Brasileiro de Meteorologia, 12.",
             keywords = "Meteorologia.",
             abstract = "FUNCEME (Funda{\c{c}}{\~a}o Cearense de Meteorologia e Recursos 
                         H{\'{\i}}dricos)and IRI (International Research Institute for 
                         Climate Prediction)developed a dynamical climate downscaling 
                         prediction system over Northeast Brazil, having the NCEP regional 
                         spectral model (RSM)and ECHAM atmospheric general circulation 
                         model (AGCM)as its core. Sea surface temperature forecasts are 
                         produced first, and then used as lower boundary condition forcing 
                         for the RSM - ECHAM4.5 AGCM nested system. A number of imulations 
                         were performed to obtain the best combination of horizontal 
                         resolution and domain size for the RSM. Then, an ensemble of ten 
                         runs of the RSM - ECHAM4.5 AGCM nested system was carried out for 
                         the period of 1971-2000, using observed SSTs as boundary forcing. 
                         Skill estimates obtained from this sort of hindcasting are 
                         considered as upper limit of forecast skills. A number of 
                         statistical tools were used to correct for systematic and 
                         conditional biases in the post-processing of model forecasts. 
                         Results of seasonal climate forecasts for February-May 2002 are 
                         presented.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "4-9 ago",
           copyholder = "SID/SCD",
             language = "pt",
         organisation = "SBMET",
           targetfile = "Moncunil_Uma breve descricao.pdf",
               volume = "1",
        urlaccessdate = "03 maio 2024"
}