%0 Journal Article
%T Studies of Climate Change with Statistical-Dynamical Models: A Review
%A Sergio H. Franchito
%A Vadlamudi B. Rao
%J American Journal of Climate Change
%P 57-68
%@ 2167-9509
%D 2015
%I Scientific Research Publishing
%R 10.4236/ajcc.2015.41006
%X 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 statistical-dynamical 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.
%K Simple Climate Models
%K Statistical-Dynamical Models
%K Climate Change
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=54579