@Article{AzevedoGonçBastSilv:2017:ObSyEx,
               author = "Azevedo, Helena Barbieri de and Gon{\c{c}}alves, Luis Gustavo 
                         Gon{\c{c}}alves de and Bastarz, Carlos Frederico and Silveira, 
                         Bruna Barbosa",
          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)}",
                title = "Observing system experiments in a 3d-var data assimilation system 
                         at cptec/inpe",
              journal = "Weather and Forecasting",
                 year = "2017",
               volume = "32",
                pages = "873",
             abstract = "The Center for Weather Forecast and Climate Studies [Centro de 
                         Previs{\~a}o e Tempo e Estudos Clim{\'a}ticos (CPTEC)] at the 
                         Brazilian National Institute for Space Research [Instituto 
                         Nacional de Pesquisas Espaciais (INPE)] has recently operationally 
                         implemented a three-dimensional variational data assimilation 
                         (3DVAR) scheme based on the Gridpoint Statistical Interpolation 
                         analysis system (GSI). Implementation of the GSI system within the 
                         atmospheric global circulation model from CPTEC/INPE 
                         (AGCM-CPTEC/INPE) is hereafter referred to as the Global 3DVAR 
                         (G3DVAR) system. The results of an observing system experiment 
                         (OSE) measuring the impacts of radiosonde, satellite radiance, and 
                         GPS radio occultation (RO) data on the new G3DVAR system are 
                         presented here. The observational impact of each of these 
                         platforms was evaluated by measuring the degradation of the 
                         geopotential height anomaly correlation and the amplification of 
                         the RMSE of the wind. Losing the radiosonde, GPS RO, and satellite 
                         radiance data in the OSE resulted in negative impacts on the 
                         geopotential height anomaly correlations globally. Nevertheless, 
                         the strongest impacts were found over the Southern Hemisphere and 
                         South America when satellite radiance data were withheld from the 
                         data assimilation system.",
                  doi = "10.1175/waf-d-15-0168.1",
                  url = "http://dx.doi.org/10.1175/waf-d-15-0168.1",
                 issn = "0882-8156",
                label = "lattes: 9647518004057701 1 
                         AzevedoGon{\c{c}}BastSilv:2017:OBSYEX",
             language = "en",
        urlaccessdate = "26 abr. 2024"
}