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<br />.. <br />64 <br /> <br />- <br /> <br />Journal of the American Statistical Association, March 1979 <br /> <br />2. Evaluation of Differences in Average Precipitation in "he Ten-hour Period before the Scheduled Start <br />of Seeding for Seeded and Not-Seeded E-days8 <br /> <br /> I Inches of rain per period <br /> % Periods with rain Inches of min per wet period (wet or dry) . <br /> % % % <br /> S NS change pb S Ne- change P S NS change P <br /> " <br />Near-downwind 29 32 -10 0.88 0.136 0.1:m +13 0.81 0.039 0.038 +1 0.98 <br />Far-downwind 39 47 -16 0.57 0.074 0.0!~1 -18 0.60 0.029 0.043 +32 0.40 <br />Near-upwind 21 32 -33 0.33 0.251 0.H8 +41 0.48 0.054 0.057 -5 0.93 <br />Far-upwind 27 49 -45 0.04 0.079 0.1:~0 -39 0.27 0.021 0.063 -67 0.03 <br />Near-left 29 38 -25 0.40 0.101 0.1'.5 -30 0.39 0.029 0.055 -48 0.20 "- <br />Far-left 52 45 +16 0.60 0.041 0.2:!1 -82 0.00 0.021 0.099 -79 0.00 <br />Near-right 20 34 -42 0.15 0.199 0.0~r5 +166 0.06 0.039 0.025 +54 0.50 , <br />Far-right 25 43 -41 0.10 0.068 0.1()3 -34 0.40 0.017 0.044 -61 0.09 <br />. Reproduced from Lovasich et al. (1971), p. 2646. Relates to Project Whitetop. <br />· Calculeted P-values (lwo-slded). <br /> <br />. <br /> <br />selected because it contained most of the SINS rainfall <br />differences occurring during the fourteen (fifteen) hours <br />following scheduled start of seeding. The well-known <br />phenomenon of persistence in meteorological variables <br />leads us to expect this partition also to contain most of <br />the rain differences for the ten hours immediately prior <br />to seeding. Moreover, relatively few of the location cells <br />show "significant" P values; these are scattered through <br />the three nonindependent rain statistics and presumably <br />could not have been specified in advance-thus are sub- <br />ject to the -problems of multiplicity (Tukey 1977). <br />Finally, to accept these conclusions makes it impossible <br />to accept the logical and coherent physical picture of <br />Whitetop results set forth in an earlier paragraph. <br />This is an example of a case in which some statisticians <br />and some meteorologists, starting from the same point, <br />have reached different conclusions because of their <br />differing points of view. It is unfortunate that this issue <br />has for so long remained unresolved. It illustrates the <br />crucial role played by the judgments of specialists. But <br />when a field is so small that it attracts only a handful of <br />specialists, their views sometimes can take on an aura <br />of unchallengeable authority that can be disadvantageous <br />to the scienc~. We have witnessed this more than once in <br />weather modification. <br />Whitetop was undertaken as a definitive experiment. <br />AB it turned out, it should be regarded more as an ex- <br />ploratory experiment-one raising more questions than <br />it answered. From'the standpoint of establishing knowl- <br />edge about cloud seeding, it should be repeated.. But this <br />seems improbable because of the ethical issues raised in <br />repeating an experiment that gave evidence for rainfall <br />decreases in a region where summer rain usually is barely <br />sufficient. This situation is reminiscent of the recent <br />article by Tukey (1977) discussing parallel concerns <br />about clinical trials in medicine. <br /> <br />4. OTHER PROJECTS <br /> <br />4.1 Climax I and Climax II <br /> <br />We now turn our attention to a few other projects <br />selected to illustrate some of the seeding studies that have <br /> <br /> <br />been carried out. The first of these are three projects <br />inte:nded' to increase the amount of snow released from <br />winter storms crossing the mountains of Colorado. The <br />first two, Climax I and Climax II, were carried out in the <br />vicinity of Climax, Colorado, by Colorado State Uni- <br />vernity Professor Lewis Grant (Grant and Mielke 1967; <br />Grant, ChaplX'll, and Mielke 1968; Mielke, Grant, and <br />Chll~ppellI971). These experiments used a target/control <br />arefL design, Experimental units were 24-hour periods <br />which were independently forecast to produce at least <br />0.01 inch of precipitation at Leadville, Colorado, 15 miles <br />from the target. Seeding was carried out from ground- <br />based generators located upwind of the target. Both <br />projjects employed restricted randomization to ensure <br />that large blocks (20-40) would have equal numbers of <br />seeded and not-seeded experimental units. <br />Climax I, conducted from 1960 through 1965, gave an <br />overall increase in snow but with weak statistical support. <br />Post-factum partitioning of the data suggested that snow <br />increases had come mainly on days with upslope winds <br />and 500 millibar temperatures warmer than about <br />-2:30C. Snowfall decreases from seeding were suggested <br />whe:n the 500 mb temperatures were colder than about <br />- 2'70C. Since the 500 mb level was identified with the <br />toP!! of the clouds, the - 270C temperature was considered <br />to be the temperature of adequate natural nucleation, <br />beyond which seeding resulted in overseededconditions. <br />Seeding results were interpret~d against a simple pre- <br />cipitation growth model. <br />R.ecognizing the risks of conclusions drawn from retro- <br />spe(:tive partitions, Professor Grant repeated the experi- <br />melllt for another five years. With minor exceptions, the <br />second experiment (Climax II) confirmed the results of <br />the first, but with stronger statistical significance. <br /> <br />4.2 San Juan Project <br /> <br />On the basis of the Climax experiments, and others not <br />summarized here, the Department of Interior, Bureau of <br />Reclamation designed a project to demonstrate the <br />feasibility of winter snow enhancement on western moun- <br />tains through seeding during periods of suitable upslope <br />