@InProceedings{BazzanelaDereSouz:2022:ReSoAm,
               author = "Bazzanela, Anna Carolina and Dereczynski, Claudine and Souza, 
                         Pedro Regoto de",
          affiliation = "{Universidade Federal do Rio de Janeiro (UFRJ)} and {Universidade 
                         Federal do Rio de Janeiro (UFRJ)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Representation of the South American climate by CMIP6 models",
                 year = "2022",
         organization = "Workshop em Modelagem Num{\'e}rica de Tempo, Clima e 
                         Mudan{\c{c}}as Clim{\'a}ticas Usando o Modelo Eta: Aspectos 
                         F{\'{\i}}sicos e Num{\'e}ricos (WorEta), 7.",
            publisher = "INPE",
             keywords = "Assessment, GCM, ESM, Climate Variability.",
             abstract = "Assessing the performance of global climate models in the present 
                         is essential to attribute some degree of confidence to their 
                         future projections. The aim of this work is to evaluate the 
                         ability of 28 {"}Sixth Phase of the Coupled Models Intercomparison 
                         Project{"} (CMIP6) models to represent the South American (SA) 
                         climate during the reference period (1995-2014). We expected that 
                         using the top 10 selected models which best represent the SA 
                         climate (CMIP6- SA), it will be possible to obtain better 
                         simulations, compared to CMIP6. The variables investigated are: 
                         surface mean air temperature, precipitation, seal level 
                         atmospheric pressure, and wind at low (850 hPa) and high (250 hPa) 
                         levels. The assessment is made by comparing the seasonal austral 
                         summer and winter climatologies simulated by the CMIP6 models to 
                         the Global Precipitation Climatology Project (GPCP) dataset and 
                         the European Center for Medium-Range Weather Forecasts Reanalysis 
                         5 (ERA5) Reanalysis. CMIP6 models, GPCP and ERA5 outputs are 
                         interpolated to a 1° latitude x 1° longitude grid. Also, the 
                         performance of the 28 models was objectively evaluated through 
                         Taylor Diagrams, using their precipitation monthly time series 
                         (1980-2014) and temperature monthly time series (1950-2014). The 
                         results show that, at low levels, most models show a good 
                         performance to represent: the South Atlantic and South Pacific 
                         Subtropical Anticyclones; the Intertropical Convergence Zone 
                         (ICTZ) and the South Atlantic Convergence Zone, except for 
                         AWI-ESM-1-1-LR, BCC-ESM1 and IITM-ESM, which do not provide a good 
                         representation of these systems. At high levels, most models 
                         overestimate the magnitude of the Subtropical and Polar Jets. Most 
                         models are able to adequately represent the position of the 
                         Bolivian High and the Northeast Brazilian Trough, except 
                         AWI-ESM-1-1-LR, CAS-ESM2-0, FGOALS-f3-L, GISS-E2-1-G, IITM-ESM, 
                         INM-CM5-0, IPSL-CM6A-LRINCA, MPI-ESM-1-2-HAM and NESM3. All models 
                         underestimate the air temperature in the Northeast Brazil coastal 
                         region, except for ACCESS-ESM1-5, which overestimates it. This 
                         aspect may be associated with the misrepresentation of the ITCZ, 
                         given that the displacement of this system to the south increases 
                         the cloudiness over the region, which prevents the entry of solar 
                         radiation, resulting in colder temperatures. Overall, the selected 
                         top 10 models are: ACCESS-ESM1-5, CESM2, CMCC-ESM2, EC-EARTH3, 
                         FIO-ESM-2-0, KACE-1-0-G, MIROC6, MRI-ESM2- 0, SAM0-UNICON and 
                         TaiESM1-0.",
  conference-location = "Online",
      conference-year = "26-30 set. 2022",
                  ibi = "8JMKD3MGP3W34T/47MGJGS",
                  url = "http://urlib.net/ibi/8JMKD3MGP3W34T/47MGJGS",
           targetfile = "TO_02_A2_BazzanelaAC.pdf",
        urlaccessdate = "29 jun. 2024"
}