This project aims to improve seasonal water supply forecasts on the Upper Rio Grande River basin and, in doing so, help to minimize the substantial costs associated with erroneous forecasts and related sub-optimal allocations of water for surface irrigation, groundwater recharge and endangered specifies management. Erroneous seasonal water supply forecasts in the Upper Rio Grande River basin have a profound impact on water management, agricultural production and economic vitality.
The specific goals of this project are to:
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Develop state-of the art precipitation and snowpack monitoring products through the use of experimental radar, surface observations and land data assimilation systems
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Improve the spatial and elevational distribution of snowfall, snowpack and meteorological forcing terms used in hydrological prediction models
3.Conduct real-time streamflow prediction experiments using current operational and state-of-the-art physics-based hydrological models
- Demonstrate operational snowpack and streamflow forecasting impacts through dissemination real-time observational and model-based monitoring and prediction products to, and coordination with, local, state and federal water prediction and water management partners
FY2013This project aims to improve seasonal water supply forecasts on the Upper Rio Grande River basin and, in doing so, help to minimize the substantial costs associated with erroneous forecasts and related sub-optimal allocations of water for surface irrigation, groundwater recharge and endangered specifies management. Erroneous seasonal water supply forecasts in the Upper Rio Grande River basin have a profound impact on water management, agricultural production and economic vitality.
The specific goals of this project are to:
-
Develop state-of the art precipitation and snowpack monitoring products through the use of experimental radar, surface observations and land data assimilation systems
-
Improve the spatial and elevational distribution of snowfall, snowpack and meteorological forcing terms used in hydrological prediction models
3.Conduct real-time streamflow prediction experiments using current operational and state-of-the-art physics-based hydrological models
- Demonstrate operational snowpack and streamflow forecasting impacts through dissemination real-time observational and model-based monitoring and prediction products to, and coordination with, local, state and federal water prediction and water management partners
