The National Severe Storms Laboratory (NSSL) has played the primary role in the development and evaluation of National Weather Service (NWS) severe weather applications for the WSR-88D Doppler radar. NSSL developed many of the primary detection algorithms for the radar, and is currently developing improvements to these algorithms. The traditional WSR-88D severe weather algorithms have been designed for use with a single-radar data source. Although the algorithm guidance has led to an improvement of the National Weather Service (NWS) severe weather warning statistics, it is understood that effective warning decisions can only be made via the integration of information from many sources, including input from multiple remote sensors (multiple radars, mesoscale models, satellite, lightning, etc.). Therefore, these traditional single-radar sever weather algorithms have been updated to take advantage of additional radars and other data sources in order to reduce the uncertainty of the measurements and increase the accuracy of the diagnoses of severe weather.

The NSSL Warning Decision Support System – Integrated Information (WDSS-II) has provided an invaluable development environment to facilitate the development of these new applications. In just the past year and a half, NSSL has developed suite of multiple-radar and multiple-sensor severe weather detection algorithms designed for the NWS. These include recently developed products which integrate dynamically-updating three-dimensional multiple-radar grids and mesoscale model grids, including new gridded products to detect, diagnose, track, and predict storm cells, severe hail, and storm rotation. We will describe the new algorithms and explain how the WDSS-II facilitated the development process of the algorithms.