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Tracking Weather Storms Using 3D Doppler Radial Velocity Information

2003; Springer Science+Business Media; Linguagem: Inglês

10.1007/3-540-45103-x_136

1611-3349

Xinxin Tang, John A. Barron, Robert E. Mercer, Paul Joe,

Meteorological Phenomena and Simulations

3D Doppler Radar is a key forecasting tool for severe weather storms and automatic tracking of these deformable objects is of great interest to meteorologists. Currently, we use the notion of a 3D ellipsoid to represent the uncertainty of a storm's 3D center in the Doppler precipitation data and have described elsewhere an algebra for its use in storm tracking. In this paper, we describe how we use 3D velocity data computed by an iterative 3D least squares/regularization algorithm to construct a velocity compatibility function that uses a prediction/verification calculation to rate the "goodness" of potential storm matches. We also use the hypothesis that the orientation of matched storms should change smoothly to obtain improved matching.