Toward visual analysis of ensemble data sets
Proceedings of the 2009 Workshop on Ultrascale Visualization
Proceedings of the 2nd international workshop on Petascal data analytics: challenges and opportunities
Comparative Visual Analysis of 2D Function Ensembles
Computer Graphics Forum
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
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Scientists increasingly use ensemble data sets to explore relationships present in dynamic systems. Ensemble data sets combine spatio-temporal simulation results generated using multiple numerical models, sampled input conditions and perturbed parameters. While ensemble data sets are a powerful tool for mitigating uncertainty, they pose significant visualization and analysis challenges due to their complexity. In this article, we present Ensemble-Vis, a framework consisting of a collection of overview and statistical displays linked through a high level of interactivity. Ensemble-Vis allows scientists to gain key scientific insight into the distribution of simulation results as well as the uncertainty associated with the scientific data. In contrast to methods that present large amounts of diverse information in a single display, we argue that combining multiple linked displays yields a clearer presentation of the data and facilitates a greater level of visual data analysis. We demonstrate our framework using driving problems from climate modeling and meteorology and discuss generalizations to other fields.