2. Toward Tornado Prediction through Neural Modeling of Radar-Indicated Storm Features
Abstract
Prediction of tornadogenesis is one of the great problems in meteorology. Most tornadic supercell thunderstorms that go on to produce tornadoes are scanned only with stationary long-range weather radar, which provide only coarse data. In this research, we write custom software to mine storm structure variables detected by the Mesocyclone Detection Algorithm (MDA) at the radar stations. We then use neural modeling in JMP software to conduct an exploratory analysis of the use of these variables for tornado prediction. Investigation of such techniques could ...
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