VA Tech graduate student Paul Miler recently completed work that was part of a GOES-R COMET Partner’s Project between VT and NWS Blacksburg on the potential utility of total lightning data (archived data from ENI) in diagnosing the severity of weak-shear storms in the central Appalachians. He developed a unique methodology for clustering lightning flashes and using these clusters to help classify storms as “single-cell” or other, and then analyzed the potential utility of the “lightning jump” concept to determine correlations with severe weather. Some interesting results when compared with previous studies, and implications for future use with GOES-R GLM.
A webinar was presented on May 7, 2014 summarizing this work, with good discussion that followed. The recorded presentation is available here (about 50 min in length):