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@Article{PennaSilvGonçSouz:2015:SéNO,
               author = "Penna, Brunna Romero and Silveira, Bruna Barbosa and 
                         Gon{\c{c}}alves, Luis Gustavo Gon{\c{c}}alves de and Souza, 
                         Solange Silva de",
          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 = "Avalia{\c{c}}{\~a}o da temperatura de brilho nos canais 
                         sens{\'{\i}}veis {\`a} superf{\'{\i}}cie terrestre no sistema 
                         G3DVAR do CPTEC/INPE: S{\'e}rie NOAA",
              journal = "Revista Brasileira de Meteorologia",
                 year = "2015",
               volume = "30",
               number = "3",
                pages = "340--350",
                month = "Sept.",
             keywords = "AMSU-A, Data assimilation, NOAA, Observation, Radiance, 
                         Simulation.",
             abstract = "As medidas do AMSU-A para os canais que s{\~a}o 
                         sens{\'{\i}}veis {\`a} superf{\'{\i}}cie terrestre sobre os 
                         continentes n{\~a}o tem sido amplamente utilizadas para ajustar a 
                         previs{\~a}o num{\'e}rica de tempo de curto prazo (PNTs), devido 
                         {\`a} complexidade das caracter{\'{\i}}sticas da 
                         superf{\'{\i}}cie terrestre. Nesse sentido, o presente artigo 
                         utiliza o Sistema de Assimila{\c{c}}{\~a}o de Dados (G3DVAR) do 
                         Centro de Previs{\~a}o de Tempo e Estudos Clim{\'a}ticos do 
                         Instituto Nacional de Pesquisas Espaciais (CPTEC/INPE), que inclui 
                         tais medidas de radi{\^a}ncias feitas pelo sensor que est{\'a} a 
                         bordo dos sat{\'e}lites da s{\'e}rie NOAA. A vers{\~a}o 
                         operacional do sistema G3DVAR contempla apenas o sat{\'e}lite 
                         NOAA-15. Adicionalmente, foram realizados experimentos 
                         num{\'e}ricos que inclu{\'{\i}}ram os sat{\'e}lites NOAA-18 e 
                         NOAA-19. {\'E} feita uma avalia{\c{c}}{\~a}o sobre a 
                         vari{\'a}vel temperatura de brilho simulada para os canais 
                         sens{\'{\i}}veis {\`a} superf{\'{\i}}cie terrestre (i), 
                         atrav{\'e}s de uma compara{\c{c}}{\~a}o com 
                         observa{\c{c}}{\~o}es, e (ii) atrav{\'e}s da 
                         avalia{\c{c}}{\~a}o da equa{\c{c}}{\~a}o de transfer{\^e}ncia 
                         radiativa, para os tr{\^e}s sat{\'e}lites. Os resultados 
                         indicaram que o modelo de transfer{\^e}ncia radiativa em 
                         m{\'e}dia superestima a temperatura de brilho nos canais 
                         sens{\'{\i}}veis {\`a} superf{\'{\i}}cie terrestre para os 
                         tr{\^e}s sat{\'e}lites na regi{\~a}o da Am{\'e}rica do Sul 
                         para os meses de ver{\~a}o. Al{\'e}m disso, as 
                         observa{\c{c}}{\~o}es dos sat{\'e}lites incorporadas no sistema 
                         tiveram um aceite superior ao do sat{\'e}lite NOAA-15, de maneira 
                         que os sat{\'e}lites NOAA-18 e NOAA-19 podem ser incorporados no 
                         modo operacional do Sistema G3DVAR. ABSTRACT: Channels sensitive 
                         to the terrestrial surface have not been widely used in Numerical 
                         Weather Prediction (NWP) due to the inherent complexities of the 
                         land surface. Thus, the present paper tested the tri-dimensional 
                         variational data assimilation framework implemented in the Global 
                         Model (G3DVAR) at the Center for Weather Forecast and Climate 
                         Studies (CPTEC) from the National Institute for Space Research 
                         (INPE) with near surface radiances from the NOAA-15 satellite. 
                         Since the operational version of the G3DVAR uses only NOAA-15, 
                         other experiments including the NOAA-18 and NOAA-19 satellites 
                         were performed. An assessment of the simulated brightness 
                         temperature for the near surface channels was made (i) through a 
                         comparison against observations and (ii) through a validation of 
                         the radiative transfer equation for the three satellites. The 
                         results indicate that the radiative transfer model overestimate, 
                         on average, the brightness temperature from the channels sensitive 
                         to the earth surface for all the considered satellites over South 
                         America during the austral summer. Furthermore, the number of 
                         observations accepted by the assimilation system increased 
                         substantially when NOAA-18 and NOAA-19 satellites were included, 
                         suggesting that incorporating these two new satellites should 
                         bring a positive impact to the G3DVAR operational system at 
                         CPTEC/INPE.",
                  doi = "10.1590/0102-778620140030",
                  url = "http://dx.doi.org/10.1590/0102-778620140030",
                 issn = "0102-7786",
             language = "pt",
           targetfile = "2015_penna.pdf",
        urlaccessdate = "29 nov. 2020"
}


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