Authors: Qingya Shu, Hanqi Guo, Limei Che, Weicong Lyu, Xiaoru Yuan
Abstract: Ensemble simulation is increasingly important in various scientific domains. One of the most important tasks in ensemble simulation data visualization is to investigate consensus and disagreement between runs. In this work, we present an ensemble visualization tool which is capable of showing an overview of variations in the ensemble data. By providing visual summaries of ensemble variations, we enable users to quickly find regions of interests such as the disagreement regions across the members. We apply our prototype system on a weather simulation result to demonstrate the exploration of high variation regions in the dataset.