Three examples of hail swaths were constructed using the following criteria: a Probability of Severe-sized Hail (POSH) > 50% and a variable monthly threshold that also had to be exceeded. The VIL product is comprised of 116 x 116 grid boxes with a spatial resolution of 4 km x 4 km for each grid box. If the latitude/longitude location of a POSH > 50% occurred within a 4 km x 4 km grid box in which a VIL value exceeded the threshold for a volume scan, then one occurrence of severe-sized hail would be counted for that particular grid box. Computation of the approximate length, width, and areal size of the swath can then be achieved.
Based on these results, it appears the NIDS data, when properly applied, can alert the insurance industry to the precise geographic location where damaging hail may have occurred by detailing the areal coverage of a hail swath. Even though the proposed swath technique has not been perfected yet, this first-of-its kind scheme in detailing hail swaths should provide evidence that NIDS data is a valuable tool that awaits use by the insurance industry.