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
Link To Document