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<br />dating in semi-arid western America is a climatic one. This controlling <br />factor turns out to be precipitation -- soil moisture -- water. In essence <br />then, although I admit this is an over-simplification, the tree will put <br />down a thick ring in a year of ample moisture and a thin ring in a year of <br />drought. <br /> <br />******* <br /> <br />A PHYSICAL BASIS FOR DEPENDABLE ANNUAL <br />STREAMFLOW FORECASTS <br />Dr. Irving P. Krick, President <br />Irving P. Krick Associates, Inc. <br />Denver, Colorado <br /> <br />The large variations observed in seasonal and monthly distribution <br />of the annual runoff in most river basinll poses a major problem in the <br />operation of hydroelectric power systems, flood control, and irrigation. <br />For example, in projecting firm power capabilities for a year ahead, most <br />power producers consider rule curves based upon a low water year and upon <br />the median water year. Some improvement on this procedure has recently <br />been achieved by the use of a combination of historical streamflow correl- <br />ations and antecedent conditions for the determination of an initial point on <br />the "dependable" streamflow projection at the time of each forecast. Then <br />the critical water year curve is used to project from this point. <br /> <br />Unfortunately, such a procedure still tends to minimize the total <br />inflow forecast at the outset of each water year and to fix the shape of the <br />streamflow curve from month to month. In the Columbia River Basin, for <br />example, it invariably leads to a forecast of sharp streamflow reductions <br />in winter to conform to the critical year (1936-37) characteristics. The <br />low flows during the winter period in that year were related to a rare weath- <br />er sequence and therefore one of infrequent occurrence. Thus the estima- <br />tion of firm power capabilities, based upon this unusual characteristic in <br />the 1937 winter, greatly minimizes the flexibility of power system operation <br />in the area during most years. <br /> <br />As the season progresses streamflow estimates for various river <br />basins are issued monthly by a number of agencies. Current flow data are <br />projected on the basis of snow survey information and the use of normal <br />precipitation for the balance of the season. All manner of correlations <br />have been developed in order to produce streamflow probabilities within <br />various ranges, but all of them suffer from the same limitation--an inad- <br />equate knowledge of the actual sequence of precipitation and temperatures <br />which will be responsible for streamflow during the course of a water year. <br /> <br />This paper outlines procedures for forecasting the Ilequence of pre- <br /> <br />- 14 - <br /> <br />