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<br />Background <br /> <br />Since the weather is constantly <br />changing, measuring the effects of <br />cloud seeding is difficult. Even the <br />long-term average is not conslant <br />because there are normally "dry" <br />and "wet" decades - it is normal <br />fOf the weather to be abnormal! <br />The hypothesis of the weather <br />modification experiment is thaI <br />cloud seeding will produce a <br />change in nalural precipitation of 10 <br />10 25 percent. Natural variations in <br />precipitation, however, range from <br />50 to 300 percent of the long-term <br />average. Therefore, the difficulty in <br /> <br />assessing the effectiveness 01 cloud <br />seeding lies in separating it from <br />lhese widely ranging nalural varia- <br />tions. <br />Depending upon the size of the <br />seeding ellee! and gi'Jen OUf current <br />difficulty in measuring hail, statis~ <br />tical studies of these variations have <br />indicated 30 or more years of <br />seeding would be necessary to be <br />confident of a 25 percent suppres- <br />sion effect. <br />How then should one evaluate <br />cloud seeding? The past decade <br />of seeding has indicated the need <br /> <br />Summer rainfall <br />1979.1983 1974.1978 <br /> <br />- -.......... <br />."20'1._""""" 0,,20'10__ <br /> <br /> <br /> <br />. <br />. <br />. <br />. <br />~ <br />; <br />. <br />, <br /> <br />'" <br /> <br />Weather patterns vary widely, as illustrated in comparing averages for these <br />five-year periods, making assessment of seeding effects difficult. <br /> <br />for emphasis on measurements, <br />physical observations and experi. <br />ments in controlled conditions to <br />track down what is, or is not, hap- <br />pening inside the clouds following <br />seeding. <br />The precipitation process chain <br />was developed to tie the observa- <br />tions together in an orderly fashion <br />so thtlt knowledge gained in one <br />"link" could be used to study adja. <br />cent "links." In past evaluations, <br />researchers tried to bypass under- <br />standing the complex processes in. <br />volved and use statistical inferences <br />to jump from one end of the chain <br />10 the other. Now the researchers <br />have found thaI, in addition to <br />understanding each "link," they <br />must know how the links are related <br />and how changes produced by <br />seeding in one "link" affect the <br />next one. <br /> <br />, <br />. <br />g. <br />l'll0l10 <br />" . <br />, E <br />~ . <br />-~ <br />~~ <br />e~ <br />" <br /> <br />I ~ Cloud seeding ~ <br /> <br /> <br />III. IIl.JI l.d.u.hlll..1I ...luJ .Il <br /> <br />.... <br /> <br />,... <br /> <br />19BO <br /> <br />Annual haiJ insurance losses. as a percentage of hail insurance purchased within the central Alberta experimental <br />region, further indicate the wide variability of weather patterns before. as well as since. cloud seeding began. <br />