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<br />I <br />I <br />. <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />t <br />t <br />t <br />t <br />t <br />t <br />t <br />. <br />t <br />t <br />t <br />t <br />t <br />t <br />t <br />. <br />. <br />. <br />. <br />I <br />I <br />I <br />I <br />I <br /> <br />The linear regression equation developed from the hislOrical relationship between the <br />control and target groups, including McClure Pass as a target site. is as follows: <br /> <br />Yc= 1.12* Xo - 0.99 <br /> <br />(I) <br /> <br />where Yc is the calculated average target precipitation (inches) and Xo is the average observed <br />control precipitation (inches) for the December-March period. This regression equation has a <br />correlation coefficient (r value) orO.87. <br /> <br />Similarly. the regression equation when ~1cClure Pass is excluded from the target group <br />is as follov.'s: <br /> <br />Yc~ 1.\3' Xo- 1.81 <br /> <br />(2) <br /> <br />The r-value (correlation) for equation (2) is 0.83. <br /> <br />4.1 A Precipitation Evaluation Results <br /> <br />When the observed average control precipitation (7.14 inches) for the December, 2003 <br />through March. 2004 period was insened in equation (l). the most probable average target area <br />precipitation was calculated to be 6.98 inches for all target sites (including McClure Pass). The <br />actual observed average precipitation for the six gages in the target group was 7.16 inches. <br />slightly more than that predicted. <br /> <br />The seeding effect (SE) can be expressed as the ratio (R) of the average observed target <br />area precipitation to the average calculated target area precipitation. such that. <br /> <br />SE ~ R ~ Yo/Yc <br /> <br />(3) <br /> <br />~o <br />