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<br />APRIL 1990 <br /> <br />DESHLER, REYNOLDS AND HUGGINS <br /> <br />327 <br /> <br />1986 was the first conducted after the OTM had been <br />updated to use soundings at both the base and crest of <br />the barrier for its windfield calculations, instead of only <br />one sounding at the base of the barrier. In these two <br />cases both OTM calculations and intermediate obser- <br />vations by aircraft and radar allowed precise timing of <br />seeding effects to KGV. <br /> <br />I' <br /> <br />5. Summary and conclusions <br /> <br />Experiments have been conducted over several win- <br />ter seasons in the central Sierra Nevada of California <br />to directly m~asure the chain of physical events that <br />result from seeding clouds by aircraft. A trajectory <br />model, that continually evolved during the course of <br />these experiments, was used to position the seeder air- <br />craft such that seeded snow crystals were likely to fall <br />at a fixed site where intensive surface observations were <br />collected. Clouds were selected for seeding based on <br />the amount and temporal duration of supercooled liq- <br />uid water. Several years of survey measurements in- <br />dicated that post-frontal stratus and stratocumulus that <br />form due to orography were the optimum clouds. Of <br />a total of 36 experiments, the complete chain of events <br />expected from seeding was documented by all mea- <br />surement platforms on only two occasions, and even <br />these results are not unequivocal. To illustrate the re- <br />sults from these experiments these two case studies, <br />and an overview of all experiments, have been pre- <br />sented. <br />The goal of measuring the chain of physical events <br />resulting from seeding was only marginally accom- <br />plished. A general result from these experiments is that <br />it is difficult to consistently measure effects from seed- <br />ing clouds. The research aircraft detected seeding effects <br />in only 35 percent of the seedlines sampled. Facilities <br />used for measurements below the aircraft altitude were <br />even less successful. The success rate of the radar was <br />4 percent; however, this was anticipated since seeding <br />effects would only be apparent in non echoing clouds <br />because of the small particles produced by seeding. <br />Seeding effects at the surface were only detected in light <br />precipitation, and were difficult to separate from the <br />background because of the small precipitation increases <br />and short time period for effects. Even with a highly <br />sensitive continuous recording device, the aspirated <br />2D-C, and an optimistic view towards the data, seeding <br />effects were measured in only 17 percent of the seed- <br />lines. Precipitation network data was not adequate to <br />resolve seeding effects even with gauges sensitive to 0.1 <br />mm in 5 min. For 12 of the fixed-target experiments <br />data were available from all measurement platforms, <br />and seeded precipitation was predicted to arrive at the <br />fixed target. In only the two cases presented here was <br />the complete chain of events considered documented; <br />however, three out of the last six seeded cases of the <br />3-year experiment provided the best results. This could <br />be just a matter of circumstance, or it could be a re- <br /> <br />flection of increased expertise by the field personnel as <br />the various measurement platforms were more skill- <br />fully applied. <br />A variety of reasons contributed to the poor success <br />at measuring seeding effects. The liquid water content <br />in the target clouds was generally less than 0.1 g m -3 <br />and variable along the seedline, thus limiting the mag- <br />nitude of seeding effects. High natural particle concen- <br />trations in the clouds masked seeding effects from the <br />aircraft. Seeding effects were most easily observed in <br />clouds with low concentrations of natural ice and rel- <br />atively high concentrations ofliquid water. The logistics <br />of coordinating the various measurement platforms in <br />shallow clouds over a mountain barrier was difficult <br />and sometimes led to long delays in initiating seeding. <br />Thus, some optimum periods for conducting seeding <br />were missed. <br />Even though the chain of events resulting from <br />seeding was completely measured on only two days, <br />the effects of seeding were similar on these two occa- <br />sions and provide some insight into the effects that <br />seeding may produce. Key results from the two case <br />studies were: 1) Seeding produced small (< 1 mm) <br />graupel that reached the surface after about 40 min. <br />2) Seedlines dispersed at 1 m s -I, leading to increases <br />in snowfall at the fixed surface target which lasted for <br />< 10 min. 3) Precipitation rate increases attributable <br />to seeding were at most 0.1 to 1.0 mm h -1.4) On radar <br />seeding produced increases in areal coverage of 1-10 <br />dBZ echoes. 5) The operational targeting model, using <br />upwind and barrier crest soundings, was adequate in <br />positioning the seeder aircraft so that seeded precipi- <br />tation fell at the surface target. 6) The targeting model <br />estimates of seedline advection were consistent with <br />seeding effects observed in the radar and surface mi- <br />crophysical measurements. 7) Seedline advection cal- <br />culations, based on aircraft measured winds, were con- <br />sistent with seeding effects identified in the aircraft data. <br />8) Seeding at -60C with a 3 percent solution of AgI <br />NH4I NH4Cl04 produced ICC > 100 L -1.9) Seeding <br />with a line source of AgI and a vertical curtain of CO2 <br />on different days produced nearly identical results at <br />the surface. <br />From these experiments several points pertinent to <br />cloud seeding operations are worth mentioning. One <br />problem limiting the amount of additional water that <br />can be obtained from seeding is the difficulty of treating <br />a large volume of cloud (Hill 1980b). Measurements <br />here suggest that seedlines disperse at 1-2 m s -I, and <br />that seeded precipitation falls out after 40-50 min. For <br />a 37 km long seedline that amounts to treating 100 <br />km 2. Achieving fairly continuous coverage along the <br />direction of seedline advection requires seedlines to be <br />no longer than 37 km, yet treatable cloud may extend <br />for hundreds of kilometers along the barrier. Additional <br />coverage can only be achieved by using more than one <br />seeder aircraft per seeding mission. <br />Another point worth highlighting is the similarity of <br />