A new classification approach for detecting severe weather patterns
We propose a new clustering approach for classification of meteorological data. Outputs of a meteorological model are screened looking for convective patterns. The decision variable is the density of atmospheric electrical discharges. Clustering approach is based on frequency of occurrence of meteorological data. It would allow the detection of possible occurrence of severe convective events.
classification clustering frequency of occurrence convective events data mining weather forecast