PNNL

Abstract

We discuss a fusion-based visualization method to analyze a 2D flow field together with its related scalars. The primary difference between a conventional visualization and a fusion-based visuali-zation is that the former draws on a single image whereas the latter draws on multiple see-through layers, which are then over-laid on each other to form the final visualization. We propose uniquely designed colormaps to highlight flow features that would not be shown with conventional colormaps. We present fusion techniques that integrate multiple single-purpose flow visualiza-tion techniques into the same viewing space. Our highly flexible fusion approach allows scientists to explore multiple parameters concurrently by mixing and matching images without frequently reconstructing new visualizations from its data for every possible combination. Sample datasets collected from a climate modeling study are used to demonstrate our approach