@InProceedings{GonçalvesSiFeSaVeKh:2016:AsCPOp,
               author = "Gon{\c{c}}alves, Luis Gustavo Gon{\c{c}}alves de and Silveira, 
                         Bruna and Ferreira, Camila Cossetin and Sapucci, Luiz Fernando and 
                         Vendrasco, Eder Paulo and Khamis, Eduardo Georges",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Assessement of the CPTEC/INPE operational Rapid Refresh data 
                         assimilation cycle over South America",
            booktitle = "Abstracts...",
                 year = "2016",
         organization = "European Geophysical Society General Assembly",
                 note = "Geophysical Research Abstracts, v.18",
             abstract = "Assessment of the results from a short-range regional prediction 
                         system proposed for CPTEC/INPE based on the WRF model and the 
                         Gridpoint Statistical Interpolation (GSI) 3DVar scheme are 
                         presented in this study. Particular focus is given to the impact 
                         of brightness temperatures over critical regions such as the 
                         tropics and subtropics over continental South America. CPTEC/INPE 
                         is currently testing the Rapid Refresh data assimilation cycle 
                         over South America using WRF/ARW given the special interest in 
                         providing boundary conditions to operational local radar 
                         applications. The current system is set up to run in a 9 km 
                         resolution and 42 vertical levels, with a DA cycle intermittent 
                         every 6 hours. The conventional dataset used in this study 
                         comprise temperature, surface pressure, moisture and 
                         zonal/meridional winds. The initial set of radiances being tested 
                         are the following: AMSU-A, MHS and HIRS. This observational 
                         dataset is first assimilated and 24h forecasts taken after a 
                         2-week DA cycle spin up are evaluated against surface observations 
                         and radiosondes.",
  conference-location = "Vienna, Austria",
      conference-year = "17-22 Apr.",
             language = "en",
           targetfile = "goncalves_assessement.pdf",
        urlaccessdate = "27 abr. 2024"
}