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<br />SUMMARY AND RECOMMENDATIONS <br /> <br />WY 200S <br /> <br />The summer precipitation in WY 2004 was lower than average, resulting in drier soil conditions at the <br />beginning of WY 2005. (Relatively dry soil moisture conditions were also recorded at the Upper San <br />Juan and Upper Rio Grande SNOTEL stations at the beginning of WY 2005). WY 2005 was <br />characterized by a large snowpack but also by a late melt-out (see Figure 4-1). The SWE change of 5A <br />inches in June is much higher than in other years. Melt OcculTing this late in the year can be subject to <br />significant evapotranspiration. Our estimates indicate that approximately 3.85 inches of the June <br />snowmelt were lost to AET. Additional snowmelt was likely lost to moisten dry soils that resulted from <br />the previous dry summer. The sum of these effects is evident in the low ROC value of 0.58. In addition, <br />the April-September precipitation was below average in WY 2005. Overall, a combination of a larger soil <br />moisture deficit, late snowmelt, and below-average summer precipitation appear to have resulted in lower <br />seasonal runoff volumes than were forecasted. <br /> <br />WY 2007 <br /> <br />The initial soil moisture for WY 2007 was wet based on above-average precipitation in July-October <br />2006. (Relatively wet soil moisture conditions were also recorded at the Upper San Juan and Upper Rio <br />Grande SNOTEL stations between October and December 2007). The snowpack began to melt relatively <br />early, with a one-inch SWE change in March and most of the remaining snowmelt occuning in May, <br />months that have considerably less ET-demand than June. WY 2007 had the smallest losses from <br />sublimation, particularly in April and May. Much like WY 2006, WY 2007 had very high precipitation <br />from April to September of almost 16 inches. Overall, a combination of wet soil moisture, early <br />snowmelt, low sublimation losses, and large amounts of summer precipitation appear to have caused <br />higher seasonal runoff volumes than predicted. <br /> <br />WY 200S <br /> <br />WY 2008 started with wet soil moisture conditions based on above average precIpItation during the <br />preceding summer. Large precipitation totals were also recorded from December to February 2008. The <br />large snowpack accumulation is comparable to WY 2005 but is melting out earlier (see Figure 4-1). The <br />sublimation losses are the highest of the available years, particularly in April. The runoff in WY 2008 has <br />been less than that recorded in WY 2005 despite more snowpack. However, nearly II inches of SWE <br />change occuned in May that should cause streamflow to be higher than average in June. The 4 inches of <br />SWE remaining on the ground on June 1st are expected to melt during that month and will likely be <br />subject to significant evapotranspiration. The Climate Prediction Center (CPC) is forecasting average <br />precipitation over the next three months (CPC 2008). As of the end of May 2008, temperature forecasts <br />are average for June 2008 but above average over the next three months. The net impact of lower runoff <br />in April and May, large May snowmelt, and average summer precipitation should be a water supply for <br />WY 2008 that is similar to WY 2005. <br /> <br />5. Summary and Recommendations <br /> <br />The work performed during this project indicates that the SNODAS data products have the potential to <br />add value to the snowpack assessments and water supply forecasts in the Upper Rio Grande basin. The <br />SNODAS SWE estimates were consistent with SNOTEL gages in the area as judged by the magnitude of <br />snow accumulation across the years examined and the snow accumulation and ablation patterns. Unlike <br />point observations, the SNODAS provides spatially continuous estimates of snowpack characteristics. <br />The SNODAS data products were useful in conjunction with SNOTEL information to characterize the <br />areal extent of snow cover and melt out patterns across the years and project area. The surface <br />sublimation and condensation product from SNODAS shows potential for predicting snow losses that do <br /> <br />8 <br /> <br />~Riverside Technology, inc. <br />