Abstract
From literature five methods for the detection of summer hail have been selected. These five different methods have been tested on severe weather events in the Netherlands that occurred during the summer of 1999. The general trends in the scoring parameters of the detection methods as a function of the warning threshold are rather similar, but there are substantial quantitative differences. Using a simple model, the effects of missing ground truth data on the scoring parameters of the detection methods has been described qualitatively. It is concluded that, of all hail detection methods considered, the method of Waldvogel performs best and is suited best for display of the “probability of hail”.
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