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WMOD00263 (2)
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Last modified
7/28/2009 2:29:00 PM
Creation date
1/17/2007 2:20:14 PM
Metadata
Fields
Template:
Weather Modification
Applicant
CWCB
Sponsor Name
USBR
Project Name
Response to RFP
Title
Numerical Simulations of Snowpack Augmentation for Drought Mitigation Studies in the Colorado Rocky Mountains
Prepared For
USBR
Prepared By
Joe Busto, CWCB
Date
8/20/2003
Weather Modification - Doc Type
Application
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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 />
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