@Article{BarretoMendLuci:2021:SeCMMo,
               author = "Barreto, Naurinete de Jesus da Costa and Mendes, David and Lucio, 
                         Paulo S.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Federal do Rio Grande do Norte (UFRN)} and 
                         {Universidade Federal do Rio Grande do Norte (UFRN)}",
                title = "Sensitivity of the CMIP5 models to precipitation in Tropical 
                         Brazil",
              journal = "Revista Ibero-Americana de Ci{\^e}ncias Ambientais",
                 year = "2021",
               volume = "12",
               number = "1",
                month = "jan.",
             keywords = "Climatic Change, Historical Period, Rainfall, Mudan{\c{c}}a 
                         clim{\'a}tica, Per{\'{\i}}odo hist{\'o}rico, 
                         Precipita{\c{c}}{\~a}o.",
             abstract = "The main objective of this study is to evaluate the ability of the 
                         fifth phase of the Coupled Model Intercomparison Project (CMIP5) 
                         models to simulate weekly rainfall over Tropical Brazil. 
                         Twenty-four years of the historical experiment of sixteen models 
                         for the austral summer and fall seasons were evaluated. In the 
                         analyzes performed in this study, frequency distribution and 
                         correlation were used to evaluate temporal variability. Principal 
                         Component Analysis to ascertain the characteristics of the 
                         dominant pattern of each model. The results suggest that some 
                         models have difficulty in simulating the spatial pattern of 
                         regional precipitation, especially related to the frequency of 
                         events and temporal variation, however, the dominant pattern found 
                         by the Principal Component Analysis showed that at least six 
                         models (ACCESS1-0, CanESM2, EC-EARTH, GFDL-CM3, MIROC5 and 
                         MRI-CGCM3) reasonably represented the temporal-space precipitation 
                         regime over Tropical Brazil. RESUMO: O objetivo principal deste 
                         estudo {\'e} avaliar a capacidade da quinta fase dos modelos do 
                         Coupled Model Intercomparison Project (CMIP5) em simular chuvas 
                         semanais sobre o Brasil Tropical. Vinte e quatro anos do 
                         experimento hist{\'o}rico de dezesseis modelos para as 
                         esta{\c{c}}{\~o}es do ver{\~a}o e outono austral foram 
                         avaliados. Nas an{\'a}lises realizadas neste estudo, a 
                         distribui{\c{c}}{\~a}o de frequ{\^e}ncia e a 
                         correla{\c{c}}{\~a}o foram utilizadas para avaliar a 
                         variabilidade temporal. An{\'a}lise de componentes principais 
                         para verificar as caracter{\'{\i}}sticas do padr{\~a}o 
                         dominante de cada modelo. Os resultados sugerem que alguns modelos 
                         apresentam dificuldade em simular o padr{\~a}o espacial de 
                         precipita{\c{c}}{\~a}o regional, principalmente em 
                         rela{\c{c}}{\~a}o {\`a} frequ{\^e}ncia de eventos e 
                         varia{\c{c}}{\~a}o temporal, por{\'e}m, o padr{\~a}o dominante 
                         encontrado pela An{\'a}lise de Componentes Principais mostrou que 
                         pelo menos seis modelos (ACCESS1-0, CanESM2, EC-EARTH, GFDL-CM3, 
                         MIROC5 e MRI-CGCM3) representaram razoavelmente o regime de 
                         precipita{\c{c}}{\~a}o no espa{\c{c}}o temporal sobre o Brasil 
                         Tropical.",
                 issn = "2179-6858",
             language = "pt",
           targetfile = "barreto_2021.pdf",
        urlaccessdate = "16 maio 2024"
}