Predictability in Spatially Extended Systems with Model Uncertainty

Details Predictability in Spatially Extended Systems with Model Uncertainty Predictability in Spatially Extended Systems with Model Uncertainty

2008-12-18

arxiv.org/abs/0812.3679v2

Mathematics

Dynamical Systems

To appear in the Journal "Engineering Simulation", 2009

Scientific paper

Macroscopic models for spatially extended systems under random influences are often described by stochastic partial differential equations (SPDEs). Some techniques for understanding solutions of such equations, such as estimating correlations, Liapunov exponents and impact of noises, are discussed. They are relevant for understanding predictability in spatially extended systems with model uncertainty, for example, in physics, geophysics and biological sciences. The presentation is for a wide audience.

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