author = "Ferreira, S{\'e}rgio Henrique Soares and Arav{\'e}quia, 
                         Jos{\'e} Antonio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "A sensibility study of the inclusion of the cloud drift wind data 
                         in the CPTEC global data assimilation system",
            booktitle = "Proceedings...",
                 year = "2006",
               editor = "Vera, Carolina and Nobre, Carlos",
                pages = "1769--1771",
         organization = "International Conference on Southern Hemisphere Meteorology and 
                         Oceanography, 8. (ICSHMO).",
            publisher = "American Meteorological Society (AMS)",
              address = "45 Beacon Hill Road, Boston, MA, USA",
             keywords = "data assimilation, cloud track wind, PSAS, numeric weather 
                         prediction, analysis system.",
             abstract = "Since 2004, the Physical-Space Statistical Analysis System (PSAS) 
                         developed by Global Modeling and Assimilation Office (GMAO of 
                         NASA) have been operationally tested at Centro de Previs{\~a}o do 
                         Tempo e Estudos Clim{\'a}ticos (CPTEC) integrated with the 
                         operational Global Model of this center. In this integrated 
                         system, designated GPSAS, were firstly used a database composed by 
                         conventional meteorological data and Advanced TOVS data. However, 
                         these data were not sufficient to produced analysis and forecasts 
                         with desired quality. In this work, Cloud Track Winds data (CTW) 
                         were added to initial databases to improve the quality of Analysis 
                         and Forecast. The results with and without CTW data are compared 
                         in term of skill index and field of pressure, winds and humidity, 
                         and is showed that the CTW data improve the characterization of 
                         the eddies in the analysis. Other important aspect showed is the 
                         computational cost associated with quantity of data used in this 
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "24-28 Apr. 2006",
           copyholder = "SID/SCD",
             language = "en",
         organisation = "American Meteorological Society (AMS)",
                  ibi = "cptec.inpe.br/adm_conf/2005/",
                  url = "http://urlib.net/rep/cptec.inpe.br/adm_conf/2005/",
           targetfile = "1769-1772.pdf",
                 type = "Weather analysis and forecasting",
        urlaccessdate = "15 jan. 2021"