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<br />to confinn microphysical changes in seeded clouds over the Bridger Range that presumably increased <br />snowfall (no surface obselVations were made in the limited 4-week study). Super and Boe (1988b) <br />showed evidence of precipitation changes at aircraft sampling levels and on the surface during a 2-month <br />study period over the Grand Mesa, Colorado. Deshler etal. (1990) demonstrated seeding induced <br />microphysical changes at aircraft levels in about 35 percent of 36 experiments conducted over a <br />three-winter period. Following seeding effects to the ground proved difficult in the Sierra Nevada, <br />partially because of. the impracticality of low-level aircraft sampling over the rugged mountains. <br />Moreover, ice multiplication or enhancement (processes whereby crystal concentrations far exceed ice <br />nucleus concentration such as described by Hallett and Mossop, 1974) is common in maritime clouds over <br />the Sierra Nevada, resulting in large ice crystal concentrations which can mask seeding effects. However, <br />the final Sierra Nevada experiments demonstrated microphysical effects at the surface after the targeting <br />scheme was improved with additional obselVations. Deshler and Reynolds (1990) presented a case study <br />in which the effects of aerial seeding were followed for over 90 min and 100 kIn. <br /> <br />While encouraging, the above physical experiments have been too few to demonstrate how often stonn <br />conditions pennit the seeding hypothesis to operate, or how much additional snowfall might result from <br />routine seeding. However, the need is clear to conduct a series of comprehensive physical seeding <br />experiments, capable of monitoring all key processes from release of seeding material to precipitation on <br />the ground. Both understanding and instrumentation are now adequate for this task. The remainder of <br />this section will be concerned with the design of comprehensive physi<;al seeding experiments for the <br />Sevier River Basin, Only after such experiments are conducted and fully analyzed will it make sense to <br />design a statistical experiment intended to document multi winter seeding effectiveness over a large area. <br /> <br />4.2 Factors Important In Planning Comprehensive Physical Cloud Seeding experiments <br /> <br />A design plan for comprehensive seeding experiments was recently completed for the Mogollon Rim of <br />Arizona (Super et al., 1991). It reviewed several physical cloud seeding experiments conducted over the <br />past two decades, and evaluated the factors affecting the success of these experiments, A number of <br />lessons became apparent in reviewing the various physical experiments, some of which succeeded and <br />some of which did not. The following discussion reviews those lessons extracted from the noted report. <br /> <br />First, and not surprising, it is much simpler to document seeding effects leading to snowfall on the surface <br />from nonprecipitating clouds than from clouds where nature is already somewhat efficient. The seeding <br />signal can be unambiguous for clouds with low natural IPC as illustrated by Super and Boe (1988b). <br /> <br />Nonprecipitating or lightly precipitating periods with at least moderate SL W available are common in Utah <br />winter stonns. Radar, SLW, and precipitation rate obselVations over the Wasatch Plateau in early 1991 <br />demonstrated a number of stonn periods, often lasting hours, with little natural snowfall and abundant <br />SLW. Huggins and Sassen (1990) showed very light snowfall rates and significant SLW amounts during <br />a stonn in which physical seeding experiments were attempted. <br /> <br />It is, of course, important to demonstrate whether seeding can produce physical evidence of enhanced <br />snowfall when some natural snowfall is occurring but excess SLW still exists. Hobbs (1975b) showed <br />evidence of snowfall increases during naturally light snowfall. Similar documentation at aircraft levels <br />was given by Super and Heimbach (1988). <br /> <br />It will likely be increasing difficult to demonstrate that seeding enhances snowfall as natural precipitation <br />rates increase. When nature becomes very efficient, seeding cannot increase the snowfall because all <br />available SLW is already converted to ice, Fortunately, many Utah stonns are probably similar to the <br /> <br />34 <br />