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<br />( <br /> <br />The basic information used in this analysis was the rawinsonde data <br />at 6-hour inter~als during experimental events (these soundings give <br />the vertical distribution of temperature, moisture, and wind), 6-hour <br />precipitation tiotals summed from 2 hours before the sounding to <br />4 hours after the sounding, descriptions of the individual mountain <br />barriers and se!eding networks, and tabulations indicating when the <br />seeding generat!ors were on and off. If at least one generator was <br />on during the p'eriod' 1 hour before the start of a 6-hour block to <br />1 hour before t~e end of the block, the period was considered seeded. <br />Carryover cont~ination was not considered in this analysis. <br /> <br />~ <br /> <br />I <br />Some of the pro!jects had sounding data at intervals more frequent <br />than the 6-hou~ interval used in the analysis. Some projects had <br />other kinds of :data, such as in-cloud measurements and radar obser- <br />vations. Although not used in the analysis itself, these data pro- <br />vided insight useful in interpreting results from the statistical <br />. ! <br />analysis. ! <br /> <br />, <br /> <br />An important p~rt of the analysis was to identify where the effects <br />of seeding occtirred as well as the magnitude of the "effect. Therefore, <br />the precipi tatilon gages were grouped in similar regions in relation to <br />the mountain barrier. The crest group included those gages in the <br />primary target :area of the individual proj ects, generally those along <br />and on either slide of the ridge crest. Other groups of gages were <br />considered as upwind or downwind. <br />I <br />, <br /> <br />II. Analysis Procedures <br />! <br />, <br /> <br />This st~dy con~idered 10 meteorological variables that depend on the <br />shape and size ;of the mountain barrier and on the characteristics of <br />the clouds. The variables were grouped into four major physical cat- <br />egories: (1) the atmospheric mixing available to carry seeding mate- <br />rial to the apBropriate portion of the cloud, (2) the water available <br />for conversion :to precipitation, (3) the natural nuclei available to <br />start the prec~pitation process, and ,(4) the time available for nucle- <br />ation, growth, :and fallout of the precipitation. <br /> <br />,. <br /> <br />, <br />Using these va~iables, stratifications were performed by project and <br />groups of proj~cts to determine seed/no-seed ratios and statistical <br />probabilities, !which suggest whether seeding caused a change in pre- <br />cipitation. A !nonparametric statistical test (Wilcoxon two-sample) <br />was used becau~e it required no predeterm~ned assumptions about the <br />distribution of the data. Each of the variables was stratified to <br />optimize posidve and negative seeding effects. Some single-variable <br />stratification~ showed clear demarcation of seeding effects for one <br />project but corlflicting results for another project. For other proj- <br />ects, the same Istratification was completely uninformative. <br /> <br />I, <br />I' <br /> <br />5 <br />