• 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