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Folders: ROOT > ScienceBase Catalog > LC MAP - Landscape Conservation Management and Analysis Portal > Southern Rockies Landscape Conservation Cooperative > SRLCC Research Projects > SRLCC Projects Awarded in Fiscal Year 2013 > Improving Seasonal Water Supply Predictions and Water Management in the Upper Rio Grande River Basin through use of Enhanced Observations of Snowfall, Snowpack and Physics-Based Modeling Systems > Documents ( Show all descendants )

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_ScienceBase Catalog
__LC MAP - Landscape Conservation Management and Analysis Portal
___Southern Rockies Landscape Conservation Cooperative
____SRLCC Research Projects
_____SRLCC Projects Awarded in Fiscal Year 2013
______Improving Seasonal Water Supply Predictions and Water Management in the Upper Rio Grande River Basin through use of Enhanced Observations of Snowfall, Snowpack and Physics-Based Modeling Systems
_______Documents
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This project brings existing, operationally ready technology to bear on the very real problem of seasonal streamflow prediction and water resources management under Inter-state compact constraints. As discussed below the technology is cost-effective compared to other research platforms and provides many ancillary benefits to other applications such as flash flood prediction in complex terrain and runoff processes in fire-burned landscapes.
This reports summarizes work and key findings to date from the Upper RIO Grande Basin SNOwfall Measurement and streamFLOW (RIO-SNO-FLOW) Forecasting Improvement Project conducted from Jan. 1, 2014 through Dec. 31, 2015. The project area was centered over the upper mainstem Rio Grande and Conejos River basins in southern Colorado. This report is organized into 7 chapters that detail the major elements of the project including; a Project Description, NOAA Gap-filling Radar, NASA Airborne Snow Observatory, In-Situ Ground Observations, Distributed Hydrologic Modeling, and Community Engagement. While several follow-on activities are still in progress, a number of conclusions and recommendations have emerged from the...