@Article{CorreaSoRoReMaChNo:2022:AvSiTe,
               author = "Correa, Wesley de Souza Campos and Soares, Wagner Rodrigues and 
                         Rosales Aylas, Georgynio Yossimar and Reis J{\'u}nior, Neyval 
                         Costa and Marengo, Jos{\'e} Antonio and Chou, Sin Chan and Nobre, 
                         Carlos Afonso",
          affiliation = "{Universidade Federal do Esp{\'{\i}}rito Santo (UFES)} and 
                         {Universidade Federal do Esp{\'{\i}}rito Santo (UFES)} and 
                         {Universidade Federal do Esp{\'{\i}}rito Santo (UFES)} and 
                         {Universidade Federal do Esp{\'{\i}}rito Santo (UFES)} and 
                         {Centro Nacional de Monitoramento e Alertas de Desastres Naturais 
                         (CEMADEN)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {Universidade de S{\~a}o Paulo (USP)}",
                title = "Avalia{\c{c}}{\~a}o das simula{\c{c}}{\~o}es de temperatura e 
                         precipita{\c{c}}{\~a}o de um subconjunto de modelos do CMIP6 
                         para o Brasil",
              journal = "Derbyana",
                 year = "2022",
               volume = "43",
                pages = "e774",
             keywords = "Climate change, Global Climate Model, IPCC, Modeling.",
             abstract = "This article examines the ability of 40 CMIP6 climate models to 
                         simulate the mean temperature and mean precipitation observed in 
                         each state in Brazil from January 1985 to December 2014. Despite 
                         the simulation biases, the CMIP6 was able to simulate the annual 
                         and seasonal behavior and capture the trend of the analyzed 
                         variables. For surface temperature, the subset of the CMIP6 showed 
                         the best performance for the South and Southeast Brazil regions, 
                         highlighted in Paran{\'a}, Santa Catarina, and S{\~a}o Paulo 
                         states. Midwest Region has the best performance for precipitation. 
                         In relation to temperature trends over the 30-year study period, 
                         19852014, all states in Brazil showed an increasing trend, both 
                         for the subset of the CMIP6 and observed data. However, 
                         precipitation in the North and Southeast regions did not show a 
                         clear trend for the analyzed period, since some states showed an 
                         increase whereas some showed a reduction. However, the states in 
                         the Central-West and Northeast regions show a trend toward a 
                         reduced precipitation. On the other hand, in the South Region, all 
                         states have increasing precipitation, as supported by observed and 
                         simulated data. Even with the inherent uncertainties in climate 
                         modeling and detected biases, this study is relevant to show the 
                         behavior of the present models nowadays climate simulations. The 
                         evaluation presented in this work established confidence levels to 
                         use the subset CMIP6 model in future climate studies, as detailed 
                         in this paper.",
                  doi = "10.14295/derb.v43.774",
                  url = "http://dx.doi.org/10.14295/derb.v43.774",
             language = "pt",
           targetfile = "774-Texto do Artigo-688-1113-10-20221227.pdf",
        urlaccessdate = "30 abr. 2024"
}