@InProceedings{CintraHerdTama:2002:OtSiAs,
               author = "Cintra, Rosangela and Herdies, Dirceu and Tamaoki, Jonas N.",
          affiliation = "{CPTEC-INPE-Cachoeira Paulista-12630-000-SP-Brasil}",
                title = "Otimizacao do sistema de assimilacao de dados atmosfericos PSAS 
                         para o modeo global do CPTEC",
            booktitle = "Anais...",
                 year = "2002",
                pages = "3783--3791",
         organization = "Congresso Brasileiro de Meteorologia, 12.",
             keywords = "assimilacao de dados, modelo global.",
             abstract = "A Phisycal-space Statical Analysis System (PSAS) has been 
                         developed at Data Assimilation Office (DAO), NASA/GSFC. PSAS has 
                         been designed as an incremental improvement over lhe current 
                         Optimal Interpolation (01) based in Data Assimilation System 
                         (DAS), and provide a framework to test advanced forecast errar 
                         covariance models; a global analysis PSAS resulting for lhe 
                         CPTEC/COLA model, is being developed at Centro de Previs{\~a}o de 
                         Tempo e Estudos Clim{\'a}ticos (CPTEC) The complexity of PSAS 
                         solution is still computationally expensive. For operational 
                         feasibility, several physical approximations have been implemented 
                         in PSAS, and lhe code has been parallelized to utilize a shared 
                         memory multi-processor NEC-SX4 system, using OpenMP programming, 
                         it would become possible to provide weather forecasts initial 
                         field in a timely fashion.",
  conference-location = "Foz de Igua{\c{c}}u",
      conference-year = "4-9 ago.",
           copyholder = "SID/SCD",
             language = "pt",
         organisation = "SBMET",
           targetfile = "Cintra_Otimizacao do sistema.pdf",
        urlaccessdate = "2024, Apr. 28"
}