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WSP04263
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Last modified
1/26/2010 12:54:33 PM
Creation date
10/12/2006 12:14:50 AM
Metadata
Fields
Template:
Water Supply Protection
File Number
8507
Description
Rio Grande Project
State
CO
Basin
Rio Grande
Date
1/1/1957
Title
Symposium on Problems of the Upper Rio Grande
Water Supply Pro - Doc Type
Report/Study
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<br /> I 01 <br />" ~" <br /> , <br /> b-. <br /> , <br />g <br /> 0_ <br /> o~ <br /> , <br /> I I 0"'~ <br /> ! I, iRIO GRANDE AT OTOWr BRIDGE <br /> I APRIL I SNOW COVER ONLY <br /> 0.. , <br /> !05.3 0"'7 I I 1 <br /> 1 , <br /> I ! I <br /> 0;-1 , <br /> ! <br /> "" I <br /> <br />year with a relatively low weighting for this month. <br />Rainfall during subsequent months is also weighted <br />and the sum total of the weighted rainfall data at a <br />number of stations is used as an index to runoff for <br />each forecast date. Monthly forecasts are made from <br />January through May, Errors in forecasts become <br />less as the season progresses. <br />The other forecast method is based on seasonal <br />snow accumulation in the high mountains, plus a <br />correction for soil moisture. Fall precipitation <br />(August, September, and October) is generally used as <br />an index of soil moisture conditions under the snoW. <br /> <br />On the Rio Grande, for example, this fall precip- <br />itation factor improves accuracy of forecasts very <br />materially. On Figure 1 (below), a relationship is <br />shown between an April 1 snow-cover index and the <br />subsequent April-September runoff for the Rio Grande <br />at Otowi Bridge gaging station. This is for the <br />years 1940-53, Figure 2 shows the relationship for <br />the same station using snow-cover plus a correction <br />based on fall precipitation. The improvement in <br />forecast accuracy is obvious. The effect of the <br />condition of mountain soils under the snow is a major <br />factor in how much water comes out of a given snoW. <br />pack. <br />We are now experimenting with electrical soil <br />moisture units in an attempt to get a direct index of <br />soil moisture in the mountains. These are called <br />Colman Units and were developed by E. A. Colman, <br /> <br />- <br />. <br />. <br />< <br /> <br />. <br />w <br />o <br />~ <br /> <br />$ <br />'00 <br /> <br />Forest and Range Experiment Station, U. S. Forest <br />Service, Berkeley, California. We now have six of <br />these stations on the Rio Grande, but none with more <br />than two years' of record, We hope they will provide <br />us with a tool for improving forecasts. Using fall <br />precipitation as an index of mountain soil moisture <br />under the snow does not work so well on most water. <br />sheds as it does on the Rio Grande. <br />Numerical forecasts of streamflow for annual and <br />seasonal periods published in "Water Supply Fore- <br />casts for the Western United States," by the U. S. <br />Weather Bureau, and in the basin HSnow Reports," <br />published by the Soil Conservation Service, now are <br />coordinated between the two agencies. If forecasts <br />from other reliable sources are known their opinions <br />are refl~cted in these published forecasts. <br />Finally, 1 want to emphasize that the suow survey <br />and water supply forecasts are a cooperative effort <br />between numerOUS Federal, state, and private or. <br />ganizations concerned with water. Among these are <br />the Bureau of Reclamation, Corps of Engineers, <br />U. S. Forest Service, National Park Service, State <br />Engineers, Agricultural Experiment Stations, and <br />several power and irrigation companies. The role of <br />the Soil Conservation Service is to coordinate the <br />snow survey program, make many of the actual field <br />measurements, and to provide data for snow-cover to <br />anyone interested. Forecasts are prepared prin- <br />cipally for irrigation planning for use by Soil Con- <br />servation and Irrigation Districts. <br /> <br />. <br /> <br />" <br /> <br />~ <br /> <br />~< <br /> <br />~" <br />r <br />, <br /> <br />~.~ <br />~~. <br /> <br />j,:;. <br /> <br />F~ <br />~'.: <br /> <br />-'. <br />:.~ <br />" <br /> <br />C." <br /> <br />[, <br /><;. <br />~~: <br /> <br />!~. <br />~ <br />~ -': <br />~ <br /> <br />-;. <br />~ <br />~:~ <br /> <br />~~" <br />," <br /> <br />$00 <br /> <br />7()O !loo /lot) .oco 1$00 1700 <br />DISCHAAGE 1000 AC.I"T APRIL-SEPT. <br /> <br />"DO <br /> <br />JOO <br /> <br />_0 <br /> <br />Figure 1. Relationship Between April 1 Snow-Cover Index and Sub- <br />sequent April-September Discharge of Rio Grande at Otowi Bridge <br />Station. <br /> <br />4 <br /> <br />,"' ' ,.. ~ ; t'*' <br />0~)~J-'.lJ <br />
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