Author(s)

T. Montefmale, C. Rafanelli & P. Ferrari

Abstract

Hailstones are usually sized measuring the dents produced on a panel hit by hail. At this time the impressed panels are processed manually by operators. Then the minor axis of each dent is assigned to an equivalent diameter class. This is a low and tedious work also comporting undesirable effects as reading random errors and classification of hailstone diameter in a few classes only. The goals of this paper are the change of error type from random to systematic one, the data quality improvement analyzing not only the minimum dent diame- ter but perimeter, area, maximum & Feret diameters and shape factor also. Fi- nally the automatic upgrade of hail data base and the lowering of processing costs. The better data quality allows to overcome th

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