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<br />- 70 - <br /> <br />Mountains, and to predict the effects which changes in the concentrations of <br />ice particles (which may be accomplished, for example, by artificial seeding) <br />will have on the trajectories of precipitation particles and the distribution <br />of snowfall on the ground. <br />The trajectory of a cloud or precipitation particle can be determined if <br />at each point in space the terminal fall speed of the particle and the <br />magnitude and direction of the wind field is known. The latter is predicted <br />by the airflow model previously described. In this section we present the <br />equations which are used to determine the rates of increase in the masses and <br />the fall speeds of ice particles. The particles are assumed to grow by <br />diffusion from the vapor phase and by collecting supercooled cloud droplets <br />(riming). Growth by aggregation with other ice particles is not considered at <br />this time. <br />3.3.l Growth by Diffusion from the Vapor Phase <br />The rate of increase in the mass M of an ice particle due to deposition <br />from the vapor phase is given by <br /> <br />dM <br />dt = 4'1\'CGSi <br /> <br />(3.64) <br /> <br />where, C is the electrostatic capacity of the ice particle, S. the <br />1 <br />supersaturation of the air relative to ice and <br /> <br />Dpv <br />G = - (1 + <br />Ps <br /> <br />DL2 M <br />Pv 0 <br />RT2t( <br /> <br />(3.65) <br /> <br />-1 <br />) <br /> <br />where, D is the diffusion coefficient of water vapor in air, L the latent heat <br /> <br /> <br />of deposition, pv and Ps the densities of water vapor and ice respectively, <br /> <br />) <br /> <br />I-- <br />I <br />l- <br />I- <br />l- <br />I- <br />l- <br />I- <br />I. <br />l- <br />I- <br />l- <br />I- <br />l- <br />I- <br />t <br />l <br />I~ <br />l <br />