EnsembleGraph: Interactive visual analysis of spatiotemporal behaviors in ensemble simulation data

Publication Type:
Conference Proceeding
Citation:
IEEE Pacific Visualization Symposium, 2016, 2016-May pp. 56 - 63
Issue Date:
2016-05-04
Metrics:
Full metadata record
Files in This Item:
Filename Description Size
EnsembleGraph.pdfPublished version1.46 MB
Adobe PDF
© 2016 IEEE. This paper presents a novel visual analysis tool, EnsembleGraph, which aims at helping scientists understand spatiotemporal similarities across runs in time-varying ensemble simulation data. We abstract the input data into a graph, where each node represents a region with similar behaviors across runs and nodes in adjacent time frames are linked if their regions overlap spatially. The visualization of this graph, combined with multiple-linked views showing details, enables users to explore, select, and compare the extracted regions that have similar behaviors. The driving application of this paper is the study of regional emission influences over tropospheric ozone, based on the ensemble simulations conducted with different anthropogenic emission absences using MOZART-4. We demonstrate the effectiveness of our method by visualizing the MOZART-4 ensemble simulation data and evaluating the relative regional emission influences on tropospheric ozone concentrations.
Please use this identifier to cite or link to this item: