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Feature Tracking and Visualization of the Madden-Julian Oscillation in Climate Simulation
July-Aug. 2013 (vol. 33 no. 4)
pp. 29-37
Teng-Yok Lee, Ohio State University
Xin Tong, Ohio State University
Han-Wei Shen, Ohio State University
Pak Chung Wong, Pacific Northwest National Laboratory
Samson Hagos, Pacific Northwest National Laboratory
L. Ruby Leung, Pacific Northwest National Laboratory
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.
Index Terms:
Meteorology,Data visualization,Quantum cascade lasers,Environmental factors,Meteorology,Time series analysis,Computational modeling,remote visualization,Meteorology,Data visualization,Quantum cascade lasers,Clouds,Animation,Time series analysis,Computational modeling,computer graphics,Madden-Julian oscillation,climate simulation,feature tracking,virtual globes,Hovmöller diagrams
Citation:
Teng-Yok Lee, Xin Tong, Han-Wei Shen, Pak Chung Wong, Samson Hagos, L. Ruby Leung, "Feature Tracking and Visualization of the Madden-Julian Oscillation in Climate Simulation," IEEE Computer Graphics and Applications, vol. 33, no. 4, pp. 29-37, July-Aug. 2013, doi:10.1109/MCG.2013.36
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