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<br />midway from the HAS to t~e TAR on the west edge <br />ofthe plateau top, GTR near the TAR, and GSO I <br />km due south (crosswind) of GTR. These three are <br />referred to as the "core" gauges, located within 2 km <br />or less of one another. The downwind gauge GDN <br />had a P-value of 0.09, somewhat suggestive of <br />seeding effectiveness, but not meeting the 0,05 <br />criterion, These test results. from the entire EU <br /> <br />population, provide a strong statistical suggestion that <br />propane seeding increased the "seasonal" 3.5 month <br />experimental period snowfall on the windward slope <br />and upwind portion of the plateau top. The "sc~eding <br />signal" is less obvious at the gauge furthest <br />downwind which had a lower likelihood of routinely <br />being under the seeding plume because of variations <br />in wind direction. <br /> <br />Table I. Summary for all available 98 EUs with no partitioning: <br />47 pairs, 50 seeded and 48 nonseeded EUs. <br /> <br /> Pooled Re- <br /> Target - randomized I-tailed 95% <br />Target GNO Sample I-tailed Confidence <br />Gauge Correlation MDR P-value Interval <br />GSC 0.85 1.22 0.06 1.02 - OCJ <br />GTR 0.88 1.22 0.04 1.04 - OCJ <br />GSO 0.89 1.23 0,03 1.06 - OCJ <br />GDN 0.84 1.21 0.09 0.98 - OCJ <br /> <br />Whereas a significance test can imply there is a <br />seeding effect, confidence intervals can quantify the <br />possible range of effect which seeding may cause. <br />Rerandomization, the repetitive simulation of the <br />experiment using the same data but with different <br />random seeding decisions, was required for the <br />derivation of P-values and confidence limits shown in <br />Table I. The same set of 1000 rerandomized MDRs <br />used to derive the P-values Was applied to estimation <br />of confidence limits. For example, a test of <br />significance using a = 0.05 might estimate from the <br />MDR that treatment provided an additional 10% <br />SWE. The upper limit of the confidence interval for <br />the I-tailed application, which assumes seeding can <br />increase but not decrease snowfall, cannot be <br />specified. Hence, upper limits in the tables are given <br />by the "00" symbol meaning infinity. The lower <br />limits for the core gauges in Table 1 range from 1.02 <br />to 1.06 corresponding to minimum precipitation <br />increases of2, 4 and 6%, respectively. The lower <br />limit for gauge GDN is 0.98 meaning that it is <br />possible that decreased precipitation could have <br />resulted there, but by no more than 2%. That gauge <br />also has the highest P-value(lowest significance). <br />All the confidence interval values are valid at the <br />95% level. It is reiterated that these are minimum <br />possible values and actual increases may be <br />substantially higher. The sample MDRs range <br />between 1.21 and 1.23 implying about 22% more <br />precipitation for the seeded EUs than for the <br />nonseeded control EUs for the entire available <br />sample population of98 EUs with no partitioning. <br /> <br />Partitioning <br /> <br />Applying statistical tests to EU groups which meet <br />one or more meteorological criteria can give insight <br />to the credence of physical hypotheses. This is <br />termed "partitioning" or "stratification." The most <br />obvious and physically reasonable partitioning of the <br />available EUs was by HAS wind direction. No real <br />seeding effect can exist if the wind did not transport <br />the seeding plume over the target gauges. <br />Considerable prior plume tracing with tracer gas and <br />AgI was conducted with the same HAS seeding site, <br />primary intended target, TAR, and its associated <br />gauge, GTR. These earlier data sets were analyzed in <br />detail for this experiment. They showed that plumes <br />released at the HAS when winds there were from <br />about 170 to 270 deg routinely reached the <br />GTR/T AR area with typical 2 km across-the-wind <br />plume widths by that downwind distance. Plumes <br />released when HAS winds had any northerly <br />component did not target that area but were <br />transported further south. The obvious wind partition <br />was for HAS median wind directions of 270 d€:g true <br />or less, as the lowest EU value was 169 deg, <br /> <br />This wind direction partition provided a total of 32 <br />pairs, and a total of35 seeded plus 34 nonseeded or <br />69 EUs. The target-control correlations of Table: 2 <br />are almost as high as those of Table l. Strongly <br />suggestive P-values of 0.03 and 0,05 are shown in <br />Table 2 for gauges GSO and GTR, respectively. <br />Downwind gauge GDN had a respectable 0.06 and <br /> <br />7 <br /> <br />._J~""L. <br />