Application of uncertainty visualization methods to meteorological trajectories
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We present an application of uncertainty visualization to air parcel trajectories generated from a global meteorological model. We derive an approximation of advection uncertainty due to interpolation and incorporate this uncertainty into our visualization of trajectories. Our work enables efficient visual pruning of unlikely results, especially in regions of atmospheric shear, potentially reducing erroneous interpretations. Finally, we apply these methods to a real-world meteorological problem to demonstrate its use.
KeywordsUncertainty visualization Multi-field visualization Flow visualization Time-varying data Meteorological visualization techniques
The authors wish to thank E.J. Kalafarski/Brown University for implementation of the Runge-Kutta integration algorithm along with Jim Byrnes and the Software Engineering Division at NASA/Goddard Space Flight Center for their support of this research.
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