Evaluation of the Vortex Detection and Characterization (VDAC) technique using multiple-Doppler observations of intense vortices

The Vortex Detection and Characterization (VDAC) technique is designed to identify intense sub-storm scale vortices in multiple-Doppler radar data and retrieve their size, strength and translational velocity. The technique consists of fitting radial wind data from two or more radars to a simple analytical model of a vortex and its near-environment. The model combines a uniform flow, linear shear flow, linear divergence flow (all of which comprise a broadscale flow), and modified combined Rankine vortex. The vortex and its environment are allowed to translate. A cost-function accounting for the discrepancy between the model and observed radial winds is evaluated over space and time so that observations can be used at the actual times and locations they were acquired. The parameters in the low-order model are determined by minimizing this cost function.

The technique has been extensively tested and modified using analytically- and numerically-simulated observations of tornadoes. Experiments with real dual-Doppler observations of tornadoes and other sub-storm scale vortices are underway. The technique exhibits skill in detecting such vortices and estimating their size and strength. The latest results will be presented, including tests with mobile radar observations of the 5 June 2001 Attica, KS and 29 May 2004 Geary, OK tornadoes.