The high-resolution data sets currently available in AWIPS such as the Local Analysis and Prediction System (LAPS) provide forecasters with an unprecedented means to perform comparative evaluations of the mesoscale environment for various storms across the County Warning Area (CWA). Careful investigation of buoyancy and shear-related parameters in LAPS, combined with high resolution radar, satellite, and spotter reports often highlight which regions are more (or less) likely to support (and sustain) strong tornadic storm development. Verifying the LAPS fields with the background Rapid Update Cycle (RUC) model output and local surface observations are a necessary component to successfully using NSE analysis in the WDM.
This presentation summarizes the benefits and limitations of using NSE data sets in AWIPS such as LAPS for supporting WDM. The results and impacts of a NSE WDM case exercise used in our teletraining session, which was taught in the Spring of 2001, are shown.