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<br />003182 <br /> <br />The CREST will consist of physical and statistical investigations concurrently conducted at two <br />sites in the Basin. Recommended sites are the Grand Mesa of west-central Colorado and the <br />Wasatch Plateau of central Utah. Final site selection will be made only after appropriate <br />National Environmental Policy Act and public involvement processes are completed. These two <br />mountainous areas typifY many mountains in the Upper Colorado Basin, and have <br />characteristics that make them especially suitable for experimentation. Their lack of isolated <br />peaks allows low-level aircraft sampling during storms, which is essential for monitoring cloud <br />responses to seeding. Both areas have highways and trails that provide access to ground <br />instrwnentation sites needed for direct observations (e.g., snowfall measurements) and remote <br />sensing (e.g., radar monitoring). In addition, these areas have been operationally seeded in <br />recent winters with support from local water user groups. Recent scientific investigations have <br />been conducted in each area which documented the frequent existence of apparently seedable <br />clouds. <br /> <br />The CREST will be conducted in two phases with associated transferability studies. Phase I will <br />concentrate on collecting physical evidence to demonstrate that seeding can increase snowfall <br />during portions of many winter stonns. Phase II will concentrate on collecting the statistical <br />and physical evidence necessary to quantify the seasonal snowpack increases and resulting <br />streamflow. Transferability studies will assist, after completion of the CREST, in transferring <br />the results from the two experimental areas throughout the Basin. <br /> <br />I <br /> <br />Phase I will consist of a series of "direct detection" experiments that use new instrwnentation to <br />monitor key links in the chain of physical events from the release of seeding material to <br />precipitation reaching the ground. Each direct detection experiment will be brief (4-6 h) and will <br />target a small well-instrwnented area. A combination of direct and remote sensing approaches <br />will observe the transport and dispersion of the seeding agents and resulting ice crystals, and <br />will follow resulting snowfall to the surface. Supporting measurements will document the <br />seeding methods and atmospheric conditions for which seeding is effective and those for which <br />it is ineffective. <br /> <br />Starting in Phase I and continuing throughout the program, a sophisticated, physically based <br />numerical model will be used in conjunction with the observations to investigate mountain <br />airflow and cloud and precipitation processes. The combination of comprehensive physical <br />observations from the seeding experiments, and state-of-the-art numerical modeling, will <br />provide rapid progress in understanding seeding responses for a wide range of storm conditions. <br /> <br />Phase II, a statistical seeding experiment for each experimental area, will be carried out during <br />the final four winters. Its design will be based upon results obtained from the direct detection <br />seeding experiments and numerical modeling. The purpose of the statistical experiments will be <br />to document the magnitude of seasonal snowfall increases from seeding a large target area. A <br />major physical monitoring effort will continue throughout Phase II to ensure that the statistical <br />experiments are properly designed and conducted. <br /> <br />Special observations and numerical modeling simulations will be accomplished for six other <br />mountain regions in the Basin during the CREST. These investigations will concentrate on the <br />availability of SLW-the "raw material" needed for seeding to be effective, and on proper <br />targeting of seeding material to convert excess supercooled liquid water into snowfalL The <br />results of this work will expedite transfer of cloud seeding technology throughout the Basin. <br /> <br />xw <br />