This paper investigates an approach for identification of small-scale precipitation structures within significantly larger-scale structures in weather radar imaging. The technique utilizes directional smoothing filters to extract directional information which not apparently observable within large precipitation events. The main goal is to track these directional characteristics over time, and thus, to predict the overall motion of large structures for the purpose of forecasting. The objective of this work is not to compete against other weather radar imagingbased forecasting techniques, but to supplement them. Experimental results illustrate how tracking of directional structures can be effectively performed.

Date Published: 27 April 2010
PDF: 8 pages
Proc. SPIE 7669, Radar Sensor Technology XIV, 766918 (27 April 2010); doi: 10.1117/12.851276

Published in SPIE Proceedings Vol. 7669:
Radar Sensor Technology XIV
Kenneth I. Ranney; Armin W. Doerry, Editor(s)