@Article{CoelhoSKCBFFGCGBSKCA:2022:ClMoSi,
               author = "Coelho, Caio Augusto dos Santos and Souza, Dayana Castilho de and 
                         Kubota, Paulo Yoshio and Cavalcanti, Iracema Fonseca de 
                         Albuquerque and Baker, Jessica C. A. and Figueroa, Silvio Nilo and 
                         Firpo, M{\'a}ri A. F. and Guimar{\~a}es, Bruno dos Santos and 
                         Coelho, Simone Marilene Sievert da Costa and Gon{\c{c}}alves, 
                         Layrson J. M. and Bonatti, Jos{\'e} Paulo and Sampaio, Gilvan and 
                         Klingaman, Nicholas P. and Chevuturi, Amulya and Andrews, Martin 
                         B.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {University of Leeds} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Assessing the representation of South American monsoon features in 
                         Brazil and U.K. climate model simulations",
              journal = "Climate Resilience and Sustainability",
                 year = "2022",
               volume = "1",
                pages = "e27",
             keywords = "climate model evaluation, rainy season onset and demise, South 
                         America monsoon.",
             abstract = "This paper assesses how well the CPTEC/INPE Brazilian Global 
                         AtmosphericModel (BAM-1.2) and the atmospheric component of the UK 
                         Met Office HadleyCentre Global Environment Model (HadGEM3-GC3.1) 
                         represent the main SouthAmerican monsoon features. Climatological 
                         (19812010) ensemble means ofAtmospheric Model Intercomparison 
                         Project (AMIP)-type climate simulationsare evaluated. The 
                         assessment evaluated the models ability to represent theSouth 
                         America austral summer and winter precipitation contrast and 
                         associ-ated circulation, key South American monsoon system 
                         elements, the associa-tion between south-east Brazil and South 
                         America precipitation, and climato-logical (1997/1998 to 
                         2013/2014) distributions of rainy season onset and demisedates 
                         over south-east Brazil (15\◦S25\◦S, 
                         40\◦W50\◦W) and the core 
                         monsoonregion(10\◦S20\◦S,45\◦W55\◦W).Despitesomeidentifieddeficiencies,bothmod-els 
                         depict the monsoon region and represent the main features, 
                         including (1)the north-westsouth-east precipitation band and 
                         associated ascending motionover central South America; (2) the 
                         upper-level Bolivian High and the 
                         north-eastSouthAmericatroughduringthesummer;(3)thelower-levelSouthAtlanticandPacific 
                         subtropical anti-cyclones and (4) the low-level jet east of the 
                         Andes. Bothmodels represent upper-level divergence and lower-level 
                         convergence over the core monsoon region, and upper-level 
                         convergence and lower-level divergenceover the Pacific and 
                         Atlantic anti-cyclones associated with the regional 
                         Walkercirculation during the pre-monsoon (spring) and peak monsoon 
                         (summer) sea-sons. Convection over South America is weaker in 
                         BAM-1.2 than observed, con-sistent with continental precipitation 
                         deficit. The models reproduce the dipole-like precipitation 
                         pattern between south-east Brazil and south-eastern SouthAmerica 
                         during the austral summer but overestimate these patterns 
                         spatialextent over the South Atlantic. Both models simulate the 
                         main observed climato-logical features of rainy season onset and 
                         demise dates for the two above definedinvestigated regions. 
                         HadGEM3 overestimates onset dates interannual variabil-ity. These 
                         results can contribute towards understanding climate and 
                         land-usechange implications for environmental sustainability and 
                         for recommending cli-mate adaptation strategies.",
                  doi = "10.1002/cli2.27",
                  url = "http://dx.doi.org/10.1002/cli2.27",
                 issn = "2692-4587",
                label = "lattes: 2191790439726897 6 CoelhoSKCBFFGCGBSKCA:2022:ClMoSi",
             language = "en",
           targetfile = "Climate Resilience - 2021 - Coelho - Assessing the representation 
                         of South American monsoon features in Brazil and U K (1).pdf",
        urlaccessdate = "29 jun. 2024"
}