@Article{CavalcantiMare:2005:SeClPr,
               author = "Cavalcanti, Iracema Fonseca de Albuquerque and Marengo, Jos{\'e} 
                         Antonio",
          affiliation = "Instituto Nacional de Pesquisas Espaciais, Centro de Previs{\~a}o 
                         do Tempo e Estudos Clim{\'a}ticos (INPE.CPTEC) and Instituto 
                         Nacional de Pesquisas Espaciais, Centro de Previs{\~a}o do Tempo 
                         e Estudos Clim{\'a}ticos (INPE.CPTEC)",
                title = "Seasonal climate prediction over South America using the 
                         CPTEC/COLA AGCM",
              journal = "Clivar Exchanges",
                 year = "2005",
               volume = "10",
               number = "1",
                pages = "23--24",
                month = "jan.",
                 note = "32nd and (v. and 10 and no. and 1) and issues and of and Clivar 
                         and Exchanges",
             keywords = "METEOROLOGY, Climate, South America, CPTEC/COLA, METEOROLOGIA, 
                         Clima, Am{\'e}rica do Sul.",
             abstract = "The Southeast Region of Brazil, which is affected during the 
                         summer , and by frontal systems in the winter, has the lowest 
                         predictability of the model this band subestimates in the northern 
                         part of this band and subestimates in the northern part 
                         (Cavalcanti et al. 2002). The southeasthern Brazil is a transition 
                         region, between the tropical regime to and the extratropical 
                         regime to the south, which has frontal systems during the whole 
                         year . In the summer, these systems interact with the tropical 
                         convection resulting in the SACZ. In this study, the number of 
                         frontal systems which affects southeasthern Brazil, their 
                         behaviour and large scale atmosphere characteristics, are analysed 
                         in a climate simulation.",
           copyholder = "SID/SCD",
                 issn = "1026-0471",
             language = "en",
           targetfile = "Cavalcanti_Seasonal.pdf",
        urlaccessdate = "29 jun. 2024"
}