Laserfiche WebLink
<br />f <br /> <br />The basic information used in this analysis was the rawinsonde data <br />at 6-hour intervals during exp,erimental events (these soundings give <br />the vertical distribution of t1emperature, moisture, and wind), 6-hour <br />precipitation totals summed from 2 hours before the sounding to <br />4 hours after the sounding, descriptions of the individual mountain <br />barriers and seeding networks, and tabulations indicating when the <br />seeding generators were on and off. If at least one generator was <br />on during the period'l hour before the start of a 6-hour block to <br />1 hour before the end of the block, the period was considered seeded. <br />Carryover contamination was not considered in this analysis. <br /> <br />Some of the projects had sounding data at intervals more frequent <br />than the 6-hour 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 />analysis. <br /> <br />An important part of the analysis was to identify where the effects <br />of seeding occurred as well as the magnitude of the "effect. Therefore, <br />the precipitation gages were glr:'ouped in similar regions in relation to <br />the mountain ba'rrier. The crest group included those gages in the <br />primary target area of the individual projects, generally those along <br />and on either side of the ridgfe crest. Other groups of gages were <br />considered as upwind or downwind. <br /> <br />II. Analysis Procedures <br /> <br />This st~dy considered 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 werle grouped into four major physical cat- <br />egories: (1) the atmospheric mixing available to carry seeding mate- <br />rial to the appropriate portion of the cloud, (2) the water available <br />for conversion to precipitation, (3) the natural nuclei available to <br />start the precipitation process, and ,(4) the time available for nucle- <br />ation, growth, and fallout of the precipitation. <br /> <br />Using these variables, stratifications were performed by project and <br />groups of projects to determinle seed/no-seed ratios and statistical <br />probabilities, which suggest mlether seeding caused a change in pre- <br />cipitation. A nonparametric statistical test (Wilcoxon two-sample) <br />was used because it required no predeterm~ned assumptions about the <br />distribution of the data. Each of the variables was stratified to <br />optimize positive and negative seeding effects. Some single-variable <br />stratifications showed clear d,emarcation of seeding effects for one <br />project but conflicting results for another project. For other proj- <br />ects, the same stratification '~as completely uninformative. <br /> <br />5 <br />