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<br />45 <br /> <br /> SPRING <br /> . <br />f------:- <br /> ~I . . <br /> <br />40 <br /> <br />w <br />u <br />z 35 <br />w <br />0:: <br />0:: <br />::> <br />u <br />u <br />o <br /> <br />30 <br /> <br />25 <br /> <br />LL <br />0 20 <br />>- <br />u 1 5 <br />z <br />w <br />::> 1 0 <br />0 <br />w <br />0:: <br />LL 5 <br /> <br />o <br />o <br /> <br />1 0 <br /> <br />35 40 <br />CLASS <br /> <br />45 50 <br />( IN) <br /> <br />5 :, <br /> <br />60 <br /> <br />5 <br /> <br />15 20 25 30 <br />PRECIPITATION <br /> <br />25 38 51 64 76 <br />PRECIPITATION <br /> <br />89102114127140152 <br />CLASS (CM) <br /> <br />o <br /> <br />1 3 <br /> <br />Figure ll.-Distribution of spring precipitation by 12.7 cm (5 in) class. <br /> <br />In an attempt to develop such a correlation, precipitation amounts for fall, winter, and spring <br />were regressed in various combinations over the 76 years of record, Three different combinations <br />were available: fall-winter, fall-spring, and winter-spring, Resulting correlation coefficients are <br />shown in table 9. <br />It was hoped that at least some characteristics of the fall precipitation pattern would have a <br />significant correlation with winter and spring precipitation amounts. Table 9 shows this was not <br />the case. All coefficients were very low. The fall and winter relationship was slightly negative- <br />suggesting that an increase in fall precipitation tends to precede a decrease in winter precipitation. <br />However, the correlation was so low that any conclusions of dependence are questionable, A <br />correlation using the natural logarithms of seasonal precipitation was also considered. Although <br />an increase in the correlation occurred, part B, table 9 shows these values to be very low also. <br />A relationship between fall and the other seasons' precipitation may exist, but the indications <br />for dependence are pOOL In view of the low correlations, an assumption of independence may be <br />valid. Using this assumption, an optimal method for deciding whether and when to seed clouds <br />was developed and will be discussed in the subsection entitled, "Precipitation Type (Simulation)." <br />Although this method is optimal only if precipitation is independent from one time period to the <br />next, simulation studies have shown it to be highly effective when applied to the precipitation data <br />of the last 76 years. Therefore, even if precipitation amounts do show some dependence from one <br />time period to the next, the correlations are so small that the assumption of independence proves <br />to be a good working hypothesis. <br /> <br />1-17 <br />