Reliable Verification Methods in Hail Prevention
AbstractHail prevention effects are very difficult to verify in non-randomized experiments. Randomization techniques of historical precipitation data, as proposed by Gabriel, Hsu, 1980, are very useful and desirable but only rarely apply because they lack the homogeneous long period data sets. Physically meaningful parameters of simple cases such as global kinetic energy, maximum and mean size of hailstones, coverage of affected area, radar signatures of treated and untreated cells as time function, are proposed as variables to be examined. The preliminary results will show mainly the methodology. The small number of cases were characterized by decreasing energy and maximum size of hailstones in both the target and control area.
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