“One-size-fits-all”
approaches to filtering are
only occasionally successful.When
trying to isolate a dynamical signal, it is desirable to adapt the
filtering
procedure to the dynamical processes generating it.In this talk, I will give an overview of the
evidence that El Niño is a largely transient, stochastically
forced phenomenon,
how identification of some dynamical properties allow isolation of that
signal,
and what we get when we do it.