• DocumentCode
    16846
  • Title

    Feature Tracking and Visualization of the Madden-Julian Oscillation in Climate Simulation

  • Author

    Teng-Yok Lee ; Xin Tong ; Han-Wei Shen ; Pak Chung Wong ; Hagos, Samson ; Leung, L.R.

  • Volume
    33
  • Issue
    4
  • fYear
    2013
  • fDate
    July-Aug. 2013
  • Firstpage
    29
  • Lastpage
    37
  • Abstract
    The Madden-Julian oscillation (MJO) is one of the less understood aspects of tropical meteorology. It plays a significant role in tropical intraseasonal variations in rain, temperature, and winds over the Indian and Pacific Oceans. Researchers have developed an integrated analysis and visualization tool for MJO episodes simulated by a high-resolution regional model. To distinguish the MJO from other weather phenomena, the tool uses domain knowledge to track the MJO and find the globally optimized properties in the data. To visualize large-scale events in space and time, the tool integrates different visualization components such as a Hovmöller diagram and virtual globe. By linking the visualization components on a Web-based interface, the tool lets scientists more easily identify cloud and environmental processes associated with the MJO´s onset and eastward propagation.
  • Keywords
    Internet; data visualisation; geophysics computing; meteorology; Hovmoller diagram; Indian Ocean; MJO episode; Madden-Julian oscillation; Pacific Ocean; Web-based interface; climate simulation; feature tracking; feature visualization; tropical meteorology; virtual globe; Computational modeling; Data visualization; Environmental factors; Meteorology; Quantum cascade lasers; Time series analysis; Animation; Clouds; Computational modeling; Data visualization; Hovmöller diagrams; Madden-Julian oscillation; Meteorology; Quantum cascade lasers; Time series analysis; climate simulation; computer graphics; feature tracking; remote visualization; virtual globes;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2013.36
  • Filename
    6497056