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Work with Upper Colorado reservoir managers to improve the relevance, use, and value of climate informationTeam members: Andrea Ray, Robert Webb, Roger Pulwarty, Shaleen Jain, Gary Bates, Martyn Clark, Andy BarrettPotential use of climate information to improve annual reservoir operating plans.In the Upper Colorado River basin, user studies have focused on the potential use of climate information to improve annual reservoir operating plans. In contrast to the frequently used sector focus, this project uses a problem-oriented approach to identify issues that are sensitive to climate variability, and to examine the decision processes that are associated with these issues (see figure-above). Reservoir managers in the Interior West are currently faced with providing water for new uses (e.g., in-stream flows, recreation) while still meeting the needs of traditional rights holders and uses (irrigation, hydropower). Several legal mandates could require changes in water distribution unless another way is found to meet an increasing number of multiple uses. Better use of climate information represents one tool that may enable reservoir managers to meet these new uses while minimizing conflicts. Three main early insights emerged from this work.
Joint integrated hydrological monitoring and diagnosisWe are collaborating with water managers in the Upper Colorado River system to develop and sustain near real-time monitoring of snowpack, stream flow, weather, and their statistics in the Interior West. Check out the following links to see preliminary examples of such efforts for the Yampa.
We are currently expanding and refining such efforts based on the emerging synthesis (from user interactions) on decision processes and calendars for consumptive and non-consumptive water usage in our study region. Experimental hydrologic prediction systemWe are collaborating with the Colorado Basin River Forecast Center to provide experimental short-term streamflow forecasts for basins in the Upper Colorado River in Spring 2003. Stay tuned for experimental forecasts. |
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