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<br />. <br /> <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />flank of the storm cells (Farley et aI., 2004a, Farley and Orville, 1999), in agreement with <br />recent observations (Thompson and List, 1999). <br /> <br />The NRC report quoted results from Smith et al. (1997) showing a 45% decrease <br />in crop damage due to hail suppression in a nonrandomized operational project, but cast <br />doubt on the results with some unpublished analysis using ratios. Further examination of <br />Fig,2,1 in the NRC report suggests that the analyst picked a starting point that would <br />bolster his point. In addition, the use of ratios in precipitation records requires extreme <br />care. Normally a scientist being corrected or challenged on a conclusion is afforded the <br />opportunity to respond, That such an opportunity was not offered here suggests a <br />possible negative bias on the part of the NRC committee, although we realize that NRC <br />panels do not normally invite comments and responses, <br /> <br />Other evidence exists indicating decreased hail damage during hail suppression <br />efforts. Mesinger and Mesinger (1992) examined 40 years of operational hail <br />suppression data in eastern Yugoslavia. After attempting to remove the effects of <br />climatic fluctuations during the period, they estimated that the hail suppression projects <br />reduced the frequency of hail between 15 and 20%. Rudolph et al. (1994) reported on <br />results from a randomized crossover hail suppression experiment conducted in northern <br />Greece during 1984-1988, Data were collected on 37 days from a total of 196 hailpads <br />spaced an average 4.5 km apart, Hailstone size distributions showed clear evidence of <br />beneficial treatment effects, Aircraft seeding using silver iodide (AgI) generators and <br />flares, primarily on flanking feeder cells, was employed. Target hailpad counts (impacts) <br />ranged from 38% to 100% less than control counts in all 12 size categories, with an <br />average reduction of 55%, On an annual basis, P-values ranged from 0.002 to 0.02. <br />Dessens (1998) in a long running operational program using AgI ground generators and <br />hailpads in southern France found a 42% decrease in hailstone number using target- <br />control analyses. <br /> <br />As in most research on operational programs in cloud seeding there are problems <br />oftargeting the seeding agent. Chemical tracers are a key to determining the extent to <br />which a target area is covered. Linkletter and Warburton (1977) found that during the <br />NHRE the AgI was broadly dispersed when weak, poorly organized storms were seeded, <br />but that the seeding agent was confined to only limited regions of the more vigorous <br />storms that had well-defined internal circulation patterns, In the 18 storms seeded in <br />1973 and 1974 only 50% of the 1973 storms and 70% of the 1974 storms had "seeding" <br />silver above background concentrations, Based upon theoretical predictions, less than <br />10% of the storms had enough silver to represent a significant seeding effect. Further <br />analysis of four storms in NHRE (Warburton et aI., 1982) revealed that the seeding <br />results appeared to fall into three categories; those where the AgI concentration was <br />relatively constant over a wide range of precipitation amounts; those where the <br />precipitation amounts were small and independent of silver contents; and those where <br />there is a positive correlation between silver concentration and precipitation amount. In <br />the cases with positive correlation, the seeding was associated with a precipitation <br />increase of about 1.7 mm depth of water per square meter. <br /> <br />13 <br />