@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 = "04 maio 2024"
}