@Article{SantosSouCamSanSan:2016:AsRePa,
               author = "Santos, S{\'e}rgio Rodrigo Quadros dos and Souza, Everaldo 
                         Barreiros de and Campos, Thamiris Luisa de Oliveira Brand{\~a}o 
                         and Sansigolo, Clovis Angeli and Santos, Ana Paula Paes dos",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Tecnol{\'o}gico Vale (ITV)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Aspectos regionais do padr{\~a}o sazonal da 
                         precipita{\c{c}}{\~a}o sobre a Amaz{\^o}nia utilizando o modelo 
                         RegCM4",
              journal = "Revista Brasileira de Geografia F{\'{\i}}sica",
                 year = "2016",
               volume = "9",
               number = "3",
                pages = "917--926",
             keywords = "Amaz{\^o}nia, RegCM4, GPCP, Precipita{\c{c}}{\~a}o, Amazon, 
                         RegCM4, GPCP, Rainfall.",
             abstract = "O objetivo deste trabalho {\'e} avaliar a efici{\^e}ncia do 
                         modelo RegCM4 em reproduzir as precipita{\c{c}}{\~o}es sazonais 
                         sobre a Amaz{\^o}nia no clima atual (1979-2014), com 
                         refer{\^e}ncia ao conjunto de dados do GPCP. De maneira geral, os 
                         resultados mostraram que o RegCM4 reproduziu de maneira 
                         satisfat{\'o}ria os padr{\~o}es sazonais de 
                         precipita{\c{c}}{\~a}o na Regi{\~a}o. Contudo, as an{\'a}lises 
                         quantitativas demonstraram que o RegCM4 apresenta erros 
                         sistem{\'a}ticos de subestimativa (vi{\'e}s negativo) no 
                         ver{\~a}o e outono, e superestimava (vi{\'e}s positivo) no 
                         inverno e primavera. Al{\'e}m disso, foi investigado o desempenho 
                         do modelo em reproduzir os padr{\~o}es an{\^o}malos sazonais de 
                         precipita{\c{c}}{\~a}o. Os resultados demonstraram uma boa 
                         concord{\^a}ncia entre as anomalias de chuva observadas e 
                         simuladas no per{\'{\i}}odo estudado. ABSTRACT: The objective of 
                         this study is to evaluate the efficiency of RegCM4 model to 
                         reproduce the seasonal rainfall over the Amazon in the current 
                         climate (1979-2014), in reference to the set of data GPCP. In 
                         general, the results show that reproduces RegCM4 satisfactorily 
                         seasonal precipitation patterns in the Region. However, 
                         quantitative analysis showed that the RegCM4 presents systematic 
                         errors of underestimation (negative bias) in summer and autumn, 
                         and overestimated (positive bias) in winter and spring. 
                         Furthermore, it was investigated in the model performance 
                         reproduce seasonal precipitation anomalous patterns. The results 
                         demonstrated good agreement between the rainfall anomalies 
                         observed and simulated during the study period.",
                  doi = "10.5935/1984-2295.20160062",
                  url = "http://dx.doi.org/10.5935/1984-2295.20160062",
                 issn = "1984-2295",
                label = "lattes: 0287853035799329 5 SantosSouCamSanSan:2016:ReAsSt",
             language = "en",
           targetfile = "santos_aspectos.pdf",
        urlaccessdate = "25 abr. 2024"
}