@Article{PradoWeinSouz:2021:ReSoAn,
               author = "Prado, Luciana F. and Weiner, Ilana and Souza, Ronald Buss de",
          affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade de 
                         S{\~a}o Paulo (USP)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "The representation of the southern annular mode signal in the 
                         brazilian earth system model",
              journal = "Atmosphere",
                 year = "2021",
               volume = "12",
               number = "8",
                pages = "e1045",
                month = "Aug.",
             keywords = "Mean sea level pressure, Model evaluation, Precipitation, South 
                         America, Southern Annular Mode, Temperature.",
             abstract = "The Southern Annular Mode (SAM, also known as the Antarctic 
                         OscillationAAO) explains most of the climate variability in the 
                         Southern Hemisphere. A ring pattern in mean sea level pressure 
                         (MSLP) or 500 hPa geopotential height around Antarctica 
                         characterizes SAM. Differences of MSLP values between SH mid and 
                         high latitudes define positive and negative SAM phases with 
                         impacts on mean atmospheric circulation. Thus, investigating how 
                         different models represent SAM is of paramount importance, as it 
                         can improve their ability to describe or even predict most of the 
                         SH climate variability. Here we examine how the Brazilian Earth 
                         System Model (BESM) represents SAMs signal compared with 
                         observations, reanalysis, and other climate models contributing to 
                         the Coupled Modeling Intercomparison Project version 5 (CMIP5). We 
                         also evaluate how SAM relates to the South American surface 
                         temperature and precipitation and discuss the models limitations 
                         and biases compared with reanalysis data.",
                  doi = "10.3390/atmos12081045",
                  url = "http://dx.doi.org/10.3390/atmos12081045",
                 issn = "2073-4433",
             language = "en",
           targetfile = "prado_representation_2021.pdf",
        urlaccessdate = "31 maio 2024"
}