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Last modified
7/28/2009 2:27:42 PM
Creation date
10/1/2006 2:12:32 PM
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Template:
Weather Modification
Applicant
Western Weather Consultants
Project Name
Vail Pass
Date
11/1/1984
Weather Modification - Doc Type
Application
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<br />Appendix to Question No. 11 <br /> <br />F"r~U''''' <br /> <br />"t('f! P~<!{l4c<;; <br />C",...,...S.-; b, <br /> <br />Lf "Tt.o::. r...../'~.h (..{ S"........ E.....l...,.c~,..,_-.-..;... <br />L~<- L.;. ,-.)~;~Le.:.K.~r 19"7-Y <br /> <br />The comput~tions of increas~s due to seeding ~ere examined <br />to see if the augmented amount tended to be reratively laq,c when the <br />natural snowlal1 was large, or conversely, This set of data is sho~n 1n <br />Figure 14(a). Although lil1l1ted in size, the s311lple indicates that there <br />1, a positive relationshlp. The natural snowfall snd amounts produced by <br />.~edLnC bave a linear cor(relation of 0.6. The increases were also cQlllputed <br />.5 a percentage of the natural snowfall. Flgure 14(b) shows that this pcr- <br />centa&e'1s not dependent on natural snowfall. Therefore. the same percent- <br />.~e 500_ au~entation may be used in both low and hi~h years of natural <br />ano....ta 11 , <br /> <br />We may SUllunarize the discussion of snowfall augmentation <br /> <br />as follows: <br /> <br />(1) The IIlOst probable increase in snowfall at elevations <br />above 8000 it that Can be realized by sccding is in <br />the range from IlpproxilllOl.tely 20 to 25 percent, as <br />an average figure for the basin OVer a period of at <br />least several years, In our judgment the chance <br />that subsequent, long.term data will sbow that this <br />figure is less than 10 percent or greater 'than 3S <br />percent Is less than one in ten. This assumes that <br />state of the art cloud seeding 15 done in an optlaal <br />aanner. If it is not done optimally then the percent <br />increase in snowfall will be less. <br /> <br />(2) The increases are produced ~inly by changing hours <br />in which little snowfall 'QuId have occurred <br />naturally into hours of slgnilic:lnt snowfall. As <br />a result, the days with relatively lar~e amounts or <br />snow (e.g., amounts greater than One half inch of <br />water equivalent) w111 be olle and a h3.1f to twice as <br />frequent (see Figure 11). <br /> <br />(3) The proportional increase in snowfall produced by <br />$eedin~ ~ill be the same whether the season 1s wet <br />or dry. <br /> <br />(4) The kernel of the effect of seeding is that it will <br />make the Snowfall amounts of the target area simiiar <br />to the natural snowfall that exists at elevations <br />500 to 1000 It higher in the mountains. <br /> <br />As a simple but reasonably accurate rule for computlng <br />!ugmented seasonal sno_fall, one may apply percentage increases to the <br />~~~.~nal snowhll overages. HO\loever. the percentage inCreOlses that <br />should be applied to the different localities are not well known at this <br />time. In the light of dlscussions with Professor Grant and our computa- <br />tions given earlier, we selected the percentage increases shown in <br />Fii;ure i5 liS the IllOst prObable esltmates. These percentage Increases <br />Were then applled to the seasonal snowfall of FIgure 7 to obtain the <br />average snowfall (water equivalent) that would be produced by seeding <br />methods that can be implemented within the next five YC8rs (F'lgure 16). <br />This map. and the two that follow, were used cxtcnslvely in the study to <br />estimate hydrologi.c confH t10ns and the et'fects on ecological, social, and <br />econOmiC systems; theretore. they arc c;"ttrcllIely important. <br />
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