Decades of continual advancements in microprocessor technologies have led to numerical simulations of earth sciences phenomenon computed at unprecedented scales. Correspondingly, the numerical outputs of these high-resolution models have reached extraordinary sizes. Sadly, our ability to manage, analyze and gain insight from these simulation data has not kept pace with our ability to generate them. For many numerical modelers the greatest challenge in the discovery process begins once the simulation has completed, and the analysis process is ready to commence. In this talk we present a novel methodology for the exploration of terescale data sets. Our approach integrates the power of advanced visualization, multiresolution data representation, and quantitative analysis into a single environment for scientific data investigation. We will discuss the effectiveness of these tools and techniques in the context of the interactive exploration of numerically simulated turbulence.
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