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<br />.. <br /> <br />i <br /> <br />some in the descending airflow on the lee side of the barrier. Ice particle growth time becomes a key <br />con~ern to the design phase of the cloud seeding project. For seeding to be effective in orographic <br />clouds, there must be excess SL W that nature is not converting to snowfall, or is converting to snowfall <br />too slowly to grow and reach the ground. The excess SL W is one "raw material" needed for seeding to <br />enhance snowfall. The cloud schematic shows silver iodide (Agl) release near the bottom of the SL W on <br />the windward side of the barrier. The released Agl creates ice particles in the SL W that will grow to <br />sizes large enough to survive descent to the surface. <br /> <br />An alternative mode of seeding the SLW zone is the release of propane in the bottom portion of the SLW <br />to create ice particles by a process known as homogeneous nucleation (discussed in appendix A, chapter <br />3). Laboratory and field measurements have shown that large numbers of ice particles (10ll to 1012 ice <br />particles per gram of released propane) can be produced with propane release. An important advantage <br />of propane use over Agl is that large numbers of ice particles can be created at temperatures as warm as <br />-0.5 oC, a feature of importance in the Headwaters Region where cloud SL W is sometimes present at <br />between -0.5 and.,6 oC, temperatures too warm for Agl seeding. <br /> <br />The project design phase will develop procedures and equipment for the automatic determining of cloud <br />seedability, and the relay of commands to seeding equipment to initiate cloud seeding when appropriate. <br />Reynolds (1989, 1991, 1992, 1996), a former Reclamation scientist, first used automated, radio- <br />controlled, liquid propane dispensers for seeding winter orographic clouds in California. Super et al. <br />(1995) used dispensers in a totally automated system that released liquid propane only when SL W was <br />detected. A data logger opened and closed a value controlling propane flow according to whether SL W <br />cloud was detected by a commercial icing detector. Propane flow rate and temperature within the <br />expanding propane plume were monitored for system status that was routinely relayed via radio to a <br />central location. <br /> <br />The cloud seeding process described above is known as the "static mode" of seeding (Dennis, 1980). <br />Observations of Park Range winter clouds point to the "static mode" as appropriate most often for that <br />area. The "static mode" of cloud seeding (as opposed to the "dynamic mode" where the objective is to <br />invigorate clouds to process more water through latent heat release from converting water droplets to ice <br />particles by seeding in large amounts), seeks to increase the cloud precipitation efficiency. Cotton and <br />Pielke (1995) states that physical and cloud seeding studies suggest, "there exists a much more limited <br />window of opportunity for precipitation enhancement by the static-mode of cloud seeding than was <br />originally thought," and that the "window of opportunity for cloud seeding appears to be limited to: <br /> <br />1) clouds which are relatively cold-based and continental; <br />2) clouds having top temperatures in the range - I 0 oC to -25 oC; <br />3) a time scale limited by the availability of significant supercooled water before depletion by <br />entrainment and natural precipitation processes." <br /> <br />Park Range observations (Rauber et aI., 1986; Rauber and Grant, 1986; Rauber, 1987) indicate the first <br />two conditions are frequently met by Park Range winter clouds. The time scale limitation presents a <br />challenge to the program design phase. Time limitations will vary according to storm phase and <br />character, location along the barrier, barrier characteristics, and moisture variation within cloud and the <br />approaching air mass. Cloud conditions will vary substantially in time and space. Cotton and Pielke <br />(1995) state that field personnel must be skillful in selecting suitable clouds for treatment. Use of a <br />properly scaled automatic cloud seeding process that uses current local measurements to assess <br />seedability is expected to produce proper treatment timing. <br /> <br />7 <br />