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<br />10 <br /> <br />I <br />I <br />I <br />I <br />I <br />I <br />'I <br />I <br />I <br />I <br />I <br />I, <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />. difficult in the Sierra Nevada. Deshler and Reynolds (1990) presented a case study in which the <br />effects of aerial seeding were followed for over 90 min and 100 km. These direct detection <br />physical experiments have been encouraging. However, too few have been conducted to <br />demonstrate how often storm conditions permit the seeding hypothesis to operate, or how much <br />additional snowfall might result from routine seeding. Moreover, the technology exists to design <br />improved direct detection experiments to better determine appropriate seeding rates and <br />approaches for given cloud conditions. <br /> <br />Improvements in numerical modeling of winter orographic clouds have significantly aided the <br />understanding of airllow and microphysical processes (Young, 1974; Cotton et al., 1986; <br />Bruintjes et al., 1992). Incorporating observations from a particular mountain region into a <br />numerical model adapted for that region can markedly increase understanding of the key <br />processes involved and how seeding influences them. Numerical model simulations can be run <br />with each set of intensive observations to continually improve experimental design, and to test <br />and improve the model. The use of state-of-the-art models with comprehensive observations <br />from direct detection seeding experiments is expected to provide the most rapid progress <br />possible toward demonstrating a scientifically sound weather modification technology. <br /> <br />3. GENERAL APPROACH TO THE PROPOSED PROGRAM <br /> <br />This section presents cloud seeding fundamentals and the general hypothesis by which seeding <br />is expected to enhance snowfall. An overview of the proposed experimental program is <br />presented, and the results of the experimental site selection process are described (and <br />presented in detail in app. A). <br /> <br />3.1 Fundamentals of Winter Orographic Storms and Cloud Seeding <br /> <br />Winter storms over the Basin's mountains vary from simple orographic to orographically <br />enhanced. As described by Rangno (1986), orographic storms are "cloud systems that form <br />solely as the result of air rising over terrain, which are seen as quasi-stationary clouds of <br />variable coverage on satellite imagery." Rangno refers to orographically enhanced storms as <br />"long-lived cloud systems associated with fronts and troughs that are trackable on satellite <br />imagery prior to impinging on mountain barriers." Most significant precipitation-producing <br />storms are orographically enhanced where the uplift caused by the mountains produces <br />condensate in the lowest kilometer or so above the terrain during passage of synoptic <br />(large-scale) storm systems. <br /> <br />The degree to which the barrier-enhanced SLW is converted to snowfall partially depends on <br />the natural ice particle concentration, which, in turn, is related to cloud depth. Shallow clouds <br />with wann top temperatures (above about -20 OC) generally appear to be the most suitable for <br />seeding (e.g., Grant and Elliott, 1974; Dennis, 1980) because they tend to have limited ice <br />crystal concentrations. Thick clouds with cold tops produce abundant ice crystals that may <br />settle through and largely convert the orographically enhanced SLW to snowfall. However, <br />wide variability in ice crystal concentration exists at a given temperature in some clouds <br />because of variations in available ice nuclei and secondary crystal production processes (Hallett <br />and Mossop, 1974). Sometimes, even a high concentration of natural ice particles cannot <br />convert all of the SLW to snowfall because of strong cross~barrier winds which produce <br />abundant liquid water. <br />