National Centers for Environmental Prediction (NCEP)/National Center for Atmospheric Research (NCAR) reanalysis data and North American Regional Reanalysis (NARR) data are analyzed for 50 tornado outbreaks and 50 nontornadic outbreaks occurring during the spring and fall seasons. These reanalysis datasets are chosen to investigate the ability of severe weather parameters to discriminate between these outbreak types at various spatial scales. A number of severe weather parameters, with an emphasis on parameters known to be associated with the formation of mesocyclones and tornadoes, will be computed for these reanalysis data at the approximate valid times of the outbreaks.
SVMs will be used to assess the ability of the tested severe weather parameters, both individually and in combination with other parameters, to discriminate between the two outbreak types. Various statistics, including the accuracy, probability of detection, false alarm ratio, and skill scores, will be presented for the severe weather parameters analyzed. The capability of severe weather parameters to distinguish outbreak types at various spatial scales will be discussed.