Due to internal nonlinearities, as well as both natural and anthropogenic
 external forcings, the climate system (atmosphere, cryosphere, biosphere, lithosphere, hydrosphere) is variable over huge ranges of space and time scales. This variability is inextricably linked to uncertainties in both models and in empirical analyses. This session aims to bring together climate modellists, paleoclimate researchers and nonlinear
 geoscientists. Papers are solicited that:
a) Systematically compare and contrast the statistical variability and
 uncertainties of forcings and responses in space and in time of
 instrumental and paleo data as well as with model outputs.
b) Use spectra, wavelets or related analysis techniques to statistically
 characterize and understand climate data, paleodata and model outputs over
 wide ranges of scale.

c) Use deterministic or stochastic models having space-time variability over wide ranges. This includes GCM's, Stochastic Linear Forcing models, scaling (fractal, multifractal) and chaotic models.