DocumentCode :
54377
Title :
Coupled Ensemble Flow Line Advection and Analysis
Author :
Hanqi Guo ; Xiaoru Yuan ; Jian Huang ; Xiaomin Zhu
Author_Institution :
Key Lab. of Machine Perception, Peking Univ., Beijing, China
Volume :
19
Issue :
12
fYear :
2013
fDate :
Dec. 2013
Firstpage :
2733
Lastpage :
2742
Abstract :
Ensemble run simulations are becoming increasingly widespread. In this work, we couple particle advection with pathline analysis to visualize and reveal the differences among the flow fields of ensemble runs. Our method first constructs a variation field using a Lagrangian-based distance metric. The variation field characterizes the variation between vector fields of the ensemble runs, by extracting and visualizing the variation of pathlines within ensemble. Parallelism in a MapReduce style is leveraged to handle data processing and computing at scale. Using our prototype system, we demonstrate how scientists can effectively explore and investigate differences within ensemble simulations.
Keywords :
data visualisation; flow visualisation; mechanical engineering computing; parallel processing; Lagrangian-based distance metric; MapReduce style; data visualization; ensemble flow line advection; ensemble flow line analysis; ensemble run simulations; ensemble simulations; parallelism; pathline analysis; pathline variation extraction; pathline variation visualization; variation field; Computational modeling; Data visualization; Scalability; Spatiotemporal phenomena; Uncertainty; Computational modeling; Data visualization; Ensemble analysis; Scalability; Spatiotemporal phenomena; Uncertainty; field line advection; parallel processing; Algorithms; Computer Graphics; Computer Simulation; Models, Theoretical; Reproducibility of Results; Rheology; Sensitivity and Specificity; User-Computer Interface;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2013.144
Filename :
6634188
Link To Document :
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