92nd American Meteorological Society Annual Meeting (January 22-26, 2012)

Tuesday, 24 January 2012: 9:00 AM
Application of a DBSCAN Based Storm Cell Identification and Tracking (SCIT) Algorithm to Radar Reflectivity and Lightning Characteristics of Several Types of Storms
Room 357 (New Orleans Convention Center )
John Trostel, Georgia Tech Research Institute, Severe Storms Research Center, Atlanta, GA ; and J. Reed

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.

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