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<br />The numerical targeting model used in the Fixed Target Experiment was adapted for use in <br />ground seeding using Gaussian plume approximations. Output from this model showed the <br />plume position and dimensions along with predicted fallout of seeded crystals. This <br />information could then be compared to both aerial and ground sampling of silver. A review <br />of all 18 cases showed that only 4 of the 12 seeded eases had both good directional targeting <br />and predicted fallout of the seeding effects in the target area. The poor results were caused <br />mainly by warm ridgetop temperatures (>-5 OC), and winds blowing parallel to the barrier <br />carrying most of the seeding material to the north of the target (fig. 3.7). These results were <br />not surprising because previous winters had shown infrequent occurrences of temperatures <br />cold enough to provide rapid nucleation of the AgI, and a barrier parallel wind in the low <br />levels had been documented since the first year of SCPP. <br /> <br />The poor targeting results predicted by the model were substantiated by the silver in'snow <br />analyses. Of the 1681 snow samples collected and analyzed for silver, less than 10 pet had <br />silver above background levels (4 parts per trillion). Two locations that exceeded this average <br />were the northern end of the target area near Killgvale and the southern end of PG&E's <br />target area, where between 25 and 30 pet of the samples showed silver above background. <br /> <br />Aerial tracking of ice nuclei from the seeding generators showed that nuclei were moving <br />vertically up and in the general direction predicted by the targeting model. The results <br />showed the horizontal spread to be about 150 and the rate of rise about 30 em s-l. These <br />results are consistent with those reported by Holroyd et al. (1988) and Super and Heimbach <br />(1988) for AgI released from elevated locations over various mountain ranges in the <br />intermountain west. <br /> <br />3.4 General Conclusions <br /> <br />The extensive physical observations taken during the 10-yr SCPP program have improved <br />our understanding of winter mountain clouds over the Sierra Nevada. A better <br />understanding now exists of the temporal and spatial distribution of SLW, as well as the <br />quantities and temperatures of SLW potentially available for conversion to snow by seeding. <br />In general, SLW is highly variable both in space and time, occurs in rather low <br />concentrations, within a kilometer of the highest terrain, and at relatively warm supercooled <br />temperatures. The highest concentrations of SLW occur after frontal passage in shallow <br />orographic clouds with weak embedded convection. SLW exists for several hundred hours <br />per winter season even in years of well below normal precipitation. Radiometer data suggest <br />that many more hours of SLW occur than hours of precipitation. Mountaintop icing data <br />suggest that a portion of this SLW is above crest height because on average, only two-thirds <br />of the hours of precipitation have icing occurring at crest height. <br /> <br />If both upwind and downwind soundings are used as input, the numerical targeting model <br />developed on SCPP can provide useful predictions of the locations of both aerial and ground <br />seeding necessary to target a given location. This ability was verified by real-time application <br />of the model in the conduct of SCPP seeding trials. <br /> <br />Although direct observations of the complete link in the physical chain of effects from release <br />of the seeding agent to precipitation at the ground were limited, several general conclusions <br />can be made. Aerial seeding from one aircraft fills only a small portion of the necessary cloud <br />volume to sufficiently impact a target area of several hundred square kilometers. One <br />seedline may affect precipitation at the surface for only 10 min even after 45 min of travel <br /> <br />15 <br />