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<br />I <br />I <br />I <br />I <br />1 <br />I <br />1 <br />I <br />I <br />I <br />I <br />1 <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />The seeding contractor will provide the CSU team with information on their cloud <br />seeding operations, including locations of generators used and seeding rates. The CSU <br />team proposes to evaluate simulated non-seeded vs. seeded precipitation accumulations <br />on monthly and seasonal time scales. For more rigorous statistical evaluation of <br />simulated precipitation by RAMS, CSU will apply Multivariate Randomized Block <br />Permutation (MRBP) analysis for a selected one-month period. This evaluation is <br />important to determine if the model-forecast skill is sufficient to discriminate seeding <br />responses. CSU then plans to perform Lagrangian transport and diffusion calculations of <br />seeding materials on selected days to determine the extent to which ground-based <br />generated seeding material is entering the supercooled clouds. <br /> <br />Modeling studies in the past have been limited to single case studies or used very <br />simplified models (i.e. parcel models). In this proposal we intend to perform daily <br />forecasts or simulations throughout a winter season. Post analysis for each forecast <br />period will include model simulations of transport and diffusion of seeding material, its <br />activation if and when it enters clouds, the effect of the seeding on explicitly represented <br />precipitation processes, and then sedimentation of precipitation to the ground. This <br />should provide a unique physical evaluation of the effects of seeding supercooled <br />orographic clouds in Colorado. <br /> <br />The main deliverables include: (1) real-time forecasts of winds and natural (non-seeded) <br />precipitation to aid in seeding operation decision-making; (2) post analysis of simulated <br />seeding effects on monthly and seasonal accumulated precipitation; (3) evaluations of <br />transport and dispersion of seeding material for selected weather regimes; and (4) <br />rigorous statistical evaluations of model performance in predicting natural vs. seeded <br />orographic precipitation for a selected month. This will benefit the program by providing <br />a physical evaluation of the seeding operations, which should help determine if the <br />seeding operations have a cost-effective benefit. <br /> <br />In addition to the basic research study proposal we have added the option to extend the <br />evaluations of model performance using MRBP statistics from one month to five months <br />of winter seeding operations. Funding of this option would increase the confidence in the <br />evaluation of the model's performance. <br /> <br />Although it is not included in our proposal, we urge the Reclamation to find support for <br />the construction of a new continuous-flow diffusion chamber (CFDC) for measuring ice <br />nuclei concentrations. The CFDC is important for the proposed modeling studies since <br />background concentrations of ice nuclei are required. It also can provide further evidence <br />that the seeding material is getting into the regions of the target clouds. This device can <br />also be used to support other cloud seeding programs funded by the Weather Damage <br />Modification Program. <br /> <br />11-4 <br />