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F) <br />and an improved estimate of precipitation increase expected from operational seeding. <br />Other work tasks of the design phase will entail contracting. Contracting work may include site <br />surveying, modeling, equipment acquisition, equipment installation /removal and maintenance, some <br />t <br />environmental compliance studies, and field study data and seeding result evaluation. Contracts will vary <br />in work details but all must clearly spell out work items, supervision, work site requirements, and <br />equipment provision. Reclamation must provide guidance to program components and participation in <br />study analyses when appropriate. <br />3.3. Cloud Modeling Studies <br />Numerical modeling of winter orographic clouds has significantly improved in the past 20 years and <br />faster computers have facilitated improvements. These conditions have led to increases in the <br />' <br />understanding of cloud airflow and microphysical processes (Young, 1974; Cotton et al., 1986; Bruintjes <br />et al., 1992). High resolution three - dimensional modeling can now assist the study of winter cloud <br />precipitation processes for areas such as the Headwaters Region. A few results of the RAMS model's <br />simulation of several storm days of the 1998 and 1999 winters in the Headwaters Region are given in <br />section 4.6.1. Modeling with a sophisticated model such as RAMS is needed to assist the design process <br />for the Headwaters Region. Model runs should include simulation of effects of cloud seeding for <br />comparison with nonseeded model results and field measurements. Comparisons of modeling results <br />with field measurements are needed to study model deficiencies and possibly improve the model. <br />Routine application of a model during the operational seeding phase will assist with weather and cloud <br />forecasting, operations planning, and the provision of covariate information for the evaluation process. <br />Modeling can help assess when atmospheric conditions are suitable for cloud seeding in the Headwaters <br />Region. This information will assist design phase studies and possibly provide valuable information for <br />locations where equipment is not installed. <br />The availability of affordable, powerful computer workstations will allow use of sophisticated models for ' <br />cloud seeding targeting decisions. Processes of particular interest that will be tested in a model include <br />the three - dimensional airflow and associated transport and diffusion of ground - released seeding agents, <br />and the growth and fallout of precipitation particles. The model should be tested for determining likely <br />seeding release points for individual storms. Different cloud treatment strategies should be tested through <br />modeling and as possible in seeding trials. <br />3.4. Cloud Seeding Hypotheses <br />A conceptual operational seeding model specific for the Headwaters Region will emerge from the design ' <br />phase. Specific component hypotheses that are appropriate for the conceptual seeding model will be <br />generated. The design phase will seek answers for each hypothesis. The following presents loosely <br />stated examples of hypotheses that may apply to the Headwaters Region. Properly constructed <br />hypotheses will be developed upon completion of design studies. The seeding hypotheses given here are <br />based on knowledge gained in the COSE experiments ( Rauber et al., 1986; Rauber and Grant, 1986; <br />Rauber, 1987), the Bridger Range Experiment (Super, 1974; Super and Heimbach, 1983), the more recent <br />Grand Mesa experiments (Super et al., 1986; Holroyd et al., 1988; Super and Boe, 1988), and recent <br />Wasatch Plateau, Utah experiments (Super, 1999; Super and Holroyd, 1994; Super, 1995; Super; 1996; <br />Super and Holroyd, 1997; Holroyd and Super, 1998; Holroyd et al., 1995). , <br />The seeding hypotheses are based on dealing with orographically- enhanced supercooled winter clouds <br />over the Park Range, using ground -based high - elevation propane dispensers and /or AgI generators. <br />10 <br />