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<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 />aerosol generators closer to the target areas and potentially reducing the uncertainties <br />related to transport and dispersion. <br /> <br />Seeding through propane release at elevations near 0 EC may enable or improve the <br />treatment of warmer cloud cases and present advantages of greater simplicity of <br />operation and maintenance, lessened uncertainty of transport and dispersion, and <br />decreased likelihood of extra-area effects. <br /> <br />A.3.1.2 <br /> <br />Remote and in situ sensing <br /> <br />It will be essential to ensure that there are sufficient remote sensing and in situ systems <br />available to prepare for the optimum locations of ground-based or airborne seeding <br />equipment in relation to the occurrence of supercooled liquid water and its real time <br />development over the orographic barriers within the watershed as well as for choosing <br />optimum times for seeding during winter storm passages over the watershed. <br /> <br />A.3.1.3 <br /> <br />Trace chemical facilities <br /> <br />It will be essential to ensure that adequate trace chemical laboratories are available for <br />analyzing the snowfall for silver, indium, cesium and other tracer materials used in these <br />augmentation studies. Snowpack core profiling methods, when used in conjunction with <br />normal snow gauges, enable time-related precipitation increments to be identified and <br />directly related to the seeding processes. <br /> <br />A.3.1.4 <br /> <br />Modeling within the experiment <br /> <br />Appropriate mesoscale models will be employed to provide wind flow patterns and <br />predictions of precipitation fallout for comparison with actual observed values and to <br />improve the likelihood of achieving statistically significant results in the shortest time. <br /> <br />A.3.1.5 <br /> <br />Statistical analysis methods <br /> <br />Because of the opportunity to shift the design of this 'Watershed Experiment" to the use <br />of physical and chemical assessment methods and to continue to satisfy the <br />requirement of unbiased randomization, there is now a special need for new statistical <br />approaches enabling comparisons to be made between those portions of the snowpack <br />which have been impacted by the seeding and those which have not. For example, can <br />snow samples that contain no seeding material be considered as a "no-seed" <br />comparison set? <br /> <br />Statistical methodology that incorporates consideration of variation of effects in time and <br />area needs additional exploration. <br /> <br />A.3.1.6 <br /> <br />Water needs <br /> <br />'Watershed Experiments" should be conducted in areas where Water Resources are a <br />crucial issue. Beyond the actual seeding experiment, investigations could include <br />ground water recharge of aquifers and relationships between precipitation amounts and <br />stream flow. <br /> <br />6 <br />