The use of a storm cell identification and tracking algorithm based on density based spatial clustering with applications in noise (DBSCAN) and joint probabilistic data association (JPDA) in exploring the relationships between radar reflectivity and lightning characteristics of several different types of storms is presented. These storm types include isolated thunderstorm cells, linear structures of cells, and large, mesoscale complexes of thunderstorm cells. Comparisons of lightning characteristics are made using both the NLDN and WTLN lightning data sets for several of these events.