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<br />520 <br /> <br />sion was reached after only one season of physical studies by <br />the University of Washington B-23 aircraft during the <br />drought year of 1976/77 (Rango et aI., 1977). <br />A decision was made in 1981 that a randomized "explora- <br />tory" (Flueck, 1982) experiment would be initiated on cellu- <br />lar convection. This experiment, sometimes called SCPP-l, <br />was to go on while research continued on other cloud types to <br />serve as the basis for additional randomized experiments. A <br />design for a floating-target experiment was begun in the <br />summer of 1981 (Bureau of Reclamation, 1983). After pre- <br />liminary trials during the winter of 1981/82, the floating- <br />target experiment began officially in 1982/83. <br />The floating-target experiment was designed to investigate <br />the effects of airborne delivery of dry-ice pellets or AgI pyro- <br />technics to convective clouds over a large portion of the <br />American- Truckee- Tahoe river basins. Clouds are treated <br />along 37-km lines oriented parallel to the Sierra Nevada. The <br />seeding rate is now set at 0.4 kg' m -I for CO2 or one 20-gm <br />flare per 10 seconds of flight time. A classification run is <br />made by the cloud-physics aircraft prior to seeding to deter- <br />mine the relative seedability of the clouds. The clouds are <br />classified A, B, or C, with A surmised to be the most seedable <br />and C the least seedable. Each experimental unit lasts 30 <br />minutes. The basic seeding hypothesis includes the creation <br />of more ice crystals in cloud, formation of more precipitation <br />particles, and changes in radar characteristics. Increases in <br />the amount and coverage of precipitation on the ground from <br />this experiment are expected to be negligible. This expecta- <br />tion is due to the analysis of both aircraft and radar data <br />from nonrandomized seeding experiments showing that, for <br />30-minute treatment periods, any additional precipitation <br />falling would be below the level of detectability of the SCPP <br />precipitation gauges. Primary seeding-response variables <br />used in the statistical analysis range from ice-crystal concen- <br />trations soon after seeding (three minutes) to changes in the <br />radar-echo coverage. The ability to distinguish seed from no- <br />seed cases is greatest from a few minutes to tens .of minutes <br />after seeding, but decreases as the associated precipitation <br />approaches the ground. <br />Because of suspended operations, lack of adequate cloud <br />conditions, and changes in seeding priorities, only three ran- <br />domized events in the floating-target experiment have been <br />performed over the last two years. Nevertheless, results from <br />calibration trials and these randomized events indicate that <br />seeding signatures in these convective clouds are detectable <br />by both aircraft instruments and radar (Huggins and Rodi, <br />1985). Many of these clouds have lifetimes too short for de- <br />veloping additional precipitation from seeding. This is <br />mainly due to the mixing of dry air into the cloud as it tries to <br />grow in the post-storm environment. Some cumulus clouds <br />last long enough to develop augmented precipitation from <br />seeding but it is difficult to predict which of the many clouds <br />that form will in fact do so. The impact of these results on <br />future convective cloud studies will be discussed in a later <br />section. <br /> <br />b. Fixed-target experiment <br /> <br />Calibration seeding trials have been conducted on the more- <br />stable orographic clouds also. In some cases seeding signa- <br />tures were detected by the cloud-physics aircraft (Stewart <br /> <br />Vol. 67, No.5, May 1986 <br /> <br />. r, p <br /> <br />~~ ::<~~ <br />6~ <br />j <br />~ "::'! ,'"!:'--- - ; I I I <br /> <br />o 30 60 90 120 <br />Distance (km) <br /> <br />FIG. 6. Schematic mass-flow channels shown normal to barrier <br />as produced by the GUIDE model flow routine. Upwind sounding is <br />extrapolated through these channels. Under stable conditions, crest <br />of flow shown to slope back aloft and blocked flow is shown as dead <br />layer. <br /> <br />jSeeding Curtain <br /> <br />1 km <br /> <br /> <br />t <br /> <br />c: <br />o <br />i <br />> <br />CD <br />iii <br /> <br />Distance ~ <br /> <br />FIG. 7. Symbolic depiction of trajectories resulting from simul- <br />taneous initiation (from six levels) of six packets of crystals where <br />each packet contains several crystals which evolve with differing time- <br />dependent fall-speed functions. <br /> <br />and Marwitz, 1982) and possibly by the GML, indicating <br />that precipitation at the ground might also have been <br />affected. <br />A randomized fixed-target experiment to test effects of <br />aerial seeding on orographic clouds was initiated in 1984/85. <br />The fixed target has been set up near the upper reaches of the <br />ARB (Fig. 3, top). Within this target are 11 precipitation <br />gauges along with the Kingvale site, where both remote-sens- <br />ing and direct-observation platforms (GML) are operated to <br />quantify the effects of seeding. The Auburn forecast office <br />also has access to the four remote PROBE (Portable Remote <br />Observation of the Environment) weather stations, whose <br />data are telemetered via GOES (Geostationery Operational <br />