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the Rio Grande Basin". This project was a small extension of the larger CWCB funded effort that has <br />been ongoing for the last four years. In the main Project we are in Phase III that links SNODAS to an <br />experimental distributed hydrologic model for comparisons of products and streamflow forecasts to those <br />of the Colorado Basin River Forecast Center. <br />SNODAS model outputs offer several benefits over SNOTEL observations including spatially continuous <br />estimates of snow cover characteristics as well as estimates of transport processes like snowmelt and <br />sublimation that affect whether snow ablation is available for runoff. Simply put the CWCB was working <br />with RTI to provide the Division of Water Resources with weekly tools and data to track the monthly <br />NRCS Basin Outlook reports that serve as the official water supply forecasts. <br />RTi collected and processed SNODAS, streamflow, natural flow, forecasts, SNOTEL and climate data for <br />the Rio Grande Basin and provided weekly GIS mapping and spreadsheets of SNOTEL and SNODAS <br />data for May and June 2008. RTi also performed a limited investigation of the NRCS seasonal water <br />supply forecasts for the Rio Delco forecast point. <br />The investigation of NRCS official water supply forecasts focused on WY 2005 and 2007 due to the high <br />and low discrepancies between the forecasts and observed runoff values. The summary from this project <br />is that the surface sublimation and condensation product from SNODAS shows potential for predicting <br />snow losses that do not translate into streamflow. A monthly water balance analysis indicated that four <br />variables may contribute between actual and forecasted seasonal runoff volumes: soil moisture, summer <br />precipitation, snowmelt timing and sublimation. <br />Recommendations from the RTi report are to continue processing he SNODAS data and produce weekly <br />data for WY 2009 melt season that include SWE and sublimation information; develop the water balance <br />spreadsheet into an extra forecasting tool, implement a hydrologic model that has soil moisture <br />accounting, graph SNODAS SWE by elevation band to show changes in snow distribution over time, and <br />utilize SNODAS data to identify gaps in existing monitoring networks. At the completion of the project <br />it was agreed by the DWR, CWCB, NRCS, and RTi that SNODAS data does provide value added to <br />SNOTEL data and the existing water supply forecasts. For copies of this report search the WRIC or <br />contact Michelle Garrison or Joe Busto on CWCB staff. The graphic is an example of the weekly <br />product that was a GIS map provided to the DWR staff that delineated the sub basins, calculated <br />snowpack snow water equivalent at a point in time in a sub basin above a forecast point and provided the <br />SWE change from the previous week. (Tom Browning) <br />18 <br />