Preliminary analysis of the 2014 sample shows that tornado probabilities increase as circulation diameter and height above radar level (range) decrease, for a given bin of rotational velocity. Additionally, tornado probability distributions vary substantially (for similar sample sizes) when comparing the Southeast United States, which has a high density of damage indicators, to the Great Plains, where damage indicators are more sparse. Velocity data quality plays a major role in the proper identification of null cases, with a heavy emphasis on dual-polarization data. We plan to further investigate combined ranges of circulation diameter and height above radar level with the addition of cases from 2015, as well as variations in the distributions related to the scan strategies with more frequent low-level data collection. Our goal is for this unique sample of radar characteristics of both tornadic and nontornadic severe storms to lead to improvements in real-time tornado detection, and associated software tool development to aid in National Weather Service tornado warning decisions.