Lightning Jump Integration into the Severe Weather Warning Process
Verification of the lightning jump technique must be performed in order to understand strengths and weaknesses, thus evaluation of the LJA relies on accurate severe storm reports. The challenges with using NOAA's National Climatic Data Center's (NCDC) Storm Data have been noted in the literature. Inaccurate reporting can negatively affect the evaluation of the LJA. Therefore, we are examining enhanced methods of verification. For hailstorms in particular, we are utilizing the Severe Hazards Analysis & Verification Experiment (SHAVE) dataset and comparing the lightning data to radar parameters such as maximum expected size of hail (MESH) and vertically integrated liquid (VIL).
To begin the transition of the lightning jump from a research algorithm to an operational product this study utilized regional lightning mapping array networks across the United States to develop automated thunderstorm tracking using radar and lightning data, as well as placed the algorithm in front of forecasters for feedback and testing in real time during the NOAA Hazardous Weather Testbed during the Spring Experiment. As we move towards receiving hemispheric lightning data with the Geostationary Lightning Mapper (GLM) on the GOES-R satellite, the LJA is also being tested using a proxy GLM data set to ready the algorithm for use with a space-based optical lightning data set. This presentation will highlight all of these efforts to provide a summary of the LJA to date and look towards future lightning jump applications.