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We demonstrate a technique to visualize multiple scales of atmospheric flow fields and the Lagrangian patterns therein, simulated by state-of-the-art simulation models for each scale. They provide insight into the structural differences and patterns that occur on each scale and highlight the complexity of flow phenomena in our atmosphere. For visualization, we employ unbiased and consistent Monte Carlo rendering to avoid discretization of finite-time Lyapunov exponent fields. High-resolution climate data can improve existing weather prediction and reanalysis capabilities. High-resolution numerical simulations of atmospheric flows help scientists to understand aerodynamic processes and to visualize the structural flow patterns across scales.

Progressive Monte Carlo rendering of atmospheric flow features across scales