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<br />C',) <br />,'":) <br />w <br />c;> <br />l'\:l <br />C.il <br /> <br />15 <br /> <br />The ARS (Agricultural Research Service) in Fort <br /> <br />Collins, Colorado, supplied additional information that <br /> <br />was required to compute the optimum evapotranspiration <br /> <br />of the crops in the study area. They supplied solar <br /> <br />radiation data that were observed near Akron, Colorado, <br /> <br />for linear regression with solar radiation data that <br /> <br />Were, computed using the relation reported by Jensen and <br /> <br />Haise6 with percent sunshine observed at Pueblo, <br /> <br />Colorado, and the latitude at Akron. The regression, <br /> <br />which consisted of average daily values for 22 consecu- <br /> <br />tive months, had a correlation coefficient of 0.991 and <br /> <br />a standard error of estimate of 15.5 langleys per day. <br /> <br />Solar radiation data for use in the study were computed <br /> <br />using the relation from Jensen and Haise with Pueblo's <br /> <br />percent sunshine and the latitude at Lamar, and the <br /> <br />regression equation was applied to the results. The <br /> <br />mean daily air temperatures that were used in the com- <br /> <br />putations are the averages of mean daily air tempera- <br /> <br />tures measured at John Martin Dam, Lamar, and Holly <br /> <br />during the month and published in USWB (U. S. Weather <br /> <br />Bureau) records. In addition, the equations that are <br /> <br />needed for the determinations of the crop coefficients <br />