Title | EnsembleGraph: Interactive visual analysis of spatiotemporal behaviors in ensemble simulation data |
Authors | Shu, Qingya Guo, Hanqi Liang, Jie Che, Limei Liu, Junfeng Yuan, Xiaoru |
Affiliation | Key Laboratory of Machine Perception (Ministry of Education), School of EECS, Peking University, Beijing, China Beijing Engineering Technology Research Center of Virtual Simulation and Visualization, Peking University, Beijing, China Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL, United States College of Urban and Environmental Sciences, Peking University, Beijing, China Baidu Inc., China |
Issue Date | 2016 |
Publisher | 9th IEEE Pacific Visualization Symposium, PacificVis 2016 |
Citation | 9th IEEE Pacific Visualization Symposium, PacificVis 2016.Taipei, Taiwan,2016/5/4,2016-May(56-63). |
Abstract | 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. ? 2016 IEEE. |
URI | http://hdl.handle.net/20.500.11897/436177 |
ISSN | 9781509014514 |
DOI | 10.1109/PACIFICVIS.2016.7465251 |
Indexed | EI |
Appears in Collections: | 信息科学技术学院 城市与环境学院 机器感知与智能教育部重点实验室 北京市虚拟仿真与可视化工程技术研究中心 |