@Article{CavalcantiSoKuCoFiBa:2022:GlMoSy,
               author = "Cavalcanti, Iracema Fonseca de Albuquerque and Souza, Dayana 
                         Castilho de and Kubota, Paulo Yoshio and Coelho, Caio Augusto dos 
                         Santos and Figueroa, Silvio Nilo and Baker, Jessica C. A.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "The global monsoon system representation in -v1.2 and climate 
                         simulations",
              journal = "International Journal of Climatology",
                 year = "2022",
               volume = "42",
                pages = "8089--8111",
             keywords = "atmospheric circulation, BAM-v1.2, climate simulation, global 
                         monsoon, HadGEM3,monsoon indices, precipitation.",
             abstract = "The features of monsoon systems in the Northern and Southern 
                         Hemispheres areanalysed in climate simulations of two atmospheric 
                         models: the Brazilian GlobalAtmospheric Model version 1.2 
                         (BAM-v1.2) and the UK Met Office Hadley CentreGlobal Environment 
                         Model version 3 (HadGEM3). The results are compared toGPCP 
                         precipitation and ERA5 datasets. Although they have different 
                         configura-tions and parameterizations, the purpose is to evaluate 
                         their ability in representingkey features of the global monsoon 
                         system. The spatial extent of the 
                         monsoondomainsiswellsimulatedbythemodels,as well as the main 
                         characteristics ofthe monsoons, although precipitation 
                         biasesarenoticedintheregionsaffectedbythe systems, consistent with 
                         vertical motion and moisture fluxbiases. The largestprecipitation 
                         biases are found in the West Pacific Monsoon Region, extended 
                         tothe east, and in the Australia Monsoon Region extended to the 
                         Maritime conti-nent. Deficiencies in precipitation can be related 
                         to inaccuracy of vertical motionand humidity flux, as well as to 
                         the lack of airsea interaction. However, theatmospheric 
                         circulation features at low and high levels are well represented 
                         in allmonsoon regions, as well as the annual cycle of 
                         precipitation in those regions byboth models. The divergence at 
                         high levels and convergence at low levels associ-ated with 
                         ascending air movement and precipitation in monsoon regions are 
                         wellrepresented by the models. An analysis of two monsoon indices 
                         at eight monsoonregions showed the models are generally able to 
                         simulate the relationship betweenprecipitation and circulation 
                         features. Inthe majority of years, the signs of indicesfrom the 
                         models agree with observations. Correlations of precipitation and 
                         circu-lation indices between models and observations show 
                         statistically significantvalues for some monsoon regions. The 
                         results obtained contribute to improvingknowledge about global 
                         monsoon features and their representation in the twomodels.",
                  doi = "10.1002/joc.7694",
                  url = "http://dx.doi.org/10.1002/joc.7694",
                 issn = "0899-8418",
                label = "lattes: 4978912302419377 4 CavalcantiSoKuCoFiBa:2022:GlMoSy",
             language = "en",
           targetfile = "Intl Journal of Climatology - 2022 - Cavalcanti - The global 
                         monsoon system representation in BAM\‐v1 2 and HadGEM3 
                         climate.pdf",
        urlaccessdate = "06 jun. 2024"
}