For this study the United States Precision Lightning Network (USPLN) data are used to represent areas of known lightning hazards. This network is able to identify cloud-to-ground lightning (with positive or negative polarity assignment) as well as cloud-to-cloud strokes. The USPLN data have been put into 20 km grid boxes that match the CIP and RUC model resolutions. The lightning data have been partitioned into positive, negative, IC (in-cloud), and all strokes events. Hourly counts of these events in the grid boxes have been calculated. These events represent areas of known lightning hazards that are suitable for comparison to other forecast parameters that also represent environmental conditions that could support charge separation.
The gridded lightning count data are statistically compared to a variety of routinely produced data sets for the determination of regional hazards to rocket activities. A comparison of the relative skill in identifying the hazard areas for various temporal periods is presented.