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@Article{FranchitoRao:2015:StClCh,
               author = "Franchito, S{\'e}rgio Henrique and Rao, Vadlamudi Brahmananda",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Studies of Climate Change with Statistical-Dynamical Models: A 
                         Review",
              journal = "American Journal of Climate Change",
                 year = "2015",
               volume = "4",
               number = "x",
                pages = "57--68",
             keywords = "simple climate models, statistical-dynamical models, climate 
                         Change.",
             abstract = "The cause-effect relationship is not always possible to trace in 
                         GCMs because of the simultaneous inclusion of several highly 
                         complex physical processes. Furthermore, the inter-GCM differences 
                         are large and there is no simple way to reconcile them. So, simple 
                         climate models, like statisticaldynamical models (SDMs), appear to 
                         be useful in this context. This kind of models is essentially 
                         mechanistic, being directed towards understanding the dependence 
                         of a particular mechanism on the other parameters of the problem. 
                         In this paper, the utility of SDMs for studies of climate change 
                         is discussed in some detail. We show that these models are an 
                         indispensable part of hierarchy of climate models.",
                 issn = "2167-9495 and 2167-9509",
             language = "en",
           targetfile = "Frabcito_studies.pdf",
        urlaccessdate = "26 nov. 2020"
}


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