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<br />- <br /> <br />at each fallout step downwind. An example of this display <br />is shown in Figure 3.3 for a computer simulation of dry ice <br />seeding over Mt. Union (near Prescott). The Verde River is <br />situated at a downwind distance of 50 km, while the Mogollon <br />Rim is at 100 krn. The solid line beginning at a height of <br />230 mb represents the seeding plume, the downwind movement <br />of which was computed in 600-sec. time steps. Dashed lines <br />represent the fallout of artifically-nucleated ice crystals. <br />Upon intercepting the ground, the precipitation rate (R) is <br />computed and tabulated below the figure. By comparing figures <br />such as these for different seeding strategies (such as ground- <br />based seeding locations, seeding agents, and aircraft seeding <br />heights), a seeding program can be designed to optimize expected <br />seeding effects in a given location. <br /> <br />(Note: the aerial, dry ice seeding simulations discussed <br />below used the nucleation efficiency of Fukuta (1971). A <br />recent paper by Horn et al., (1982) suggests that the nucleation <br />efficiency may be as much as 100 times greater. Thus, until <br />better resolved, the dry ice seeding simulations should be <br />considered tentative.) <br /> <br />Figure 3.4 shows four locations in the Salt and Verde <br />River drainages that were modeled. These locations are represen- <br />tative of seeding the Verde River drainage (PRESWIN), the <br />lower and middle Salt River drainage (SALTRVR), and the upper <br />Salt River drainage (BALDY). In the preceding sections, it <br /> <br />~-10 <br />