1. Visualize data from multiscale models of complex dynamical processes and use pattern recognition to drive new interpretations.

Many Earth processes involve interacting non-linear processes. Computational methods allow mathematical modeling of multiple systems, but understanding the fundamental controls on behavior requires identifying patterns and causes of variability in results. Reliable interpretations depend on accurate insights from the investigators. Dynamic, 3-D graphics take full advantage of human visualization abilities to allow interpretations of complex data.