Creating Post-Event Storm Tracks for Severe Weather Climatologies

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Tuesday, 6 January 2015: 4:00 PM
124B (Phoenix Convention Center - West and North Buildings)
V. Lakshmanan, CIMMS/Univ. of Oklahoma, Norman, OK; and B. S. Herzog and D. M. Kingfield

Commonly employed storm tracking algorithms do not use information on the subsequent positions of a storm because it is not available at the time that associations between frames are carried out, but post-event analysis is not similarly constrained. Therefore, it should be possible to obtain better tracks for post-event analysis than what a real-time algorithm is capable of. In this paper, we describe a statistical procedure to determine storm tracks from a set of identified storm cells over time. We find that this procedure results in fewer, longer-lived tracks at all scales.