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@InProceedings{FerreiraGoSiVeKhSa:2016:OpHiRe,
               author = "Ferreira, Camila Cossetin and Gon{\c{c}}alves, Luis Gustavo 
                         Gon{\c{c}}alves de and Silveira, Bruna and Vendrasco, Eder Paulo 
                         and Khamis, Eduardo Georges and Sapucci, Luiz Fernando",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "An operational high resolution ensemble kalman filter data 
                         assimilation cycle over South America",
            booktitle = "Abstracts...",
                 year = "2016",
         organization = "European Geophysical Society General Assembly",
                 note = "Gesophysical Research Abstracts, v.18",
             abstract = "The brazilian Center for Weather Forecast and Climate Studies 
                         (CPTEC/INPE) has recently initiated an effort to develop 
                         operationally a high resolution probabilistic mesoscale analysis 
                         over the continental South America and portions of the surrounding 
                         south Pacific and Atlantic oceans. This work presents a high 
                         resolution regional ensemble Kalman filter (EnKF) system with the 
                         WRF model. It uses the gridpoint statistical interpolation (GSI) 
                         mantained by the Developmental Testbed Center (DTC) for 
                         observational data processing and observation operators. The 
                         initial tests were run at approximately 9 Km of spatial resolution 
                         and 20 members with 6-hourly data assimilation cycles using all 
                         regional observations and selected satellite radiances (AMSU-A, 
                         MHS and HIRS). The impact of the choice of covariance localization 
                         and covariance inflation in the model performance is assessed to 
                         demonstrate the sensitive to the tunning. A two-weeks simulation 
                         is performed to illustrate the system adjustment (spin up) and how 
                         the model errors and innovation respond during the first days of 
                         run. Furthermore, the relative contribution of satellite 
                         brightness temperature assimilation to the analysis increments is 
                         also evaluated.",
  conference-location = "Vienna, Austria",
      conference-year = "17-22 Apr.",
             language = "en",
           targetfile = "cossetin.pdf",
        urlaccessdate = "23 nov. 2020"
}


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