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<br />As inputs, the model requires, as a minimum. <br />estimates of the vertical profiles of wind, temperature, <br />and humidity at the upwind edges of the geographical <br />area of interest. When available from sources such as <br />the LFM or NGM numerical models, estimates of the <br />large-scale vertical motion can be inserted in the <br />precipitation model. <br /> <br />T]1e model produces precipitation estimates <br />integrated over desired time periods at each grid point <br />of a selected grid array. For estimates at other <br />locations of interest, such as sites where gauges are <br />located, an interpolation scheme utilizing surrounding <br />grid point values is employed. Integrated volume <br />precipitation for designated watersheds, for periods of <br />choice, is also produced by the model. With <br />regression techniques, volume precipitation can be <br />employed to estimate monthly or seasonal streamflow <br />(e.g., Medina, 1981). <br /> <br />The basic precipitation formula for the model <br />(Rhea, 1977) is given as: <br /> <br />R = ~ ft fPz diJ. w dp tit (1) <br />pwg 0 PI dz <br /> <br />where <br />R <br />E <br /> <br />Precipitation amount (em) <br />Precipitation efficiency (dimensionless) <br />Vertical motion (em S-I) <br />= Density of water (1 g cm-3) <br />Gravitational acceleration (em S-2) <br /> <br />w <br />P.. <br />g <br /> <br />diJ. <br />dz <br /> <br />fPz <br />PI <br /> <br />Specific humidity change with <br />height (em-I) <br /> <br />Pressure depth of saturated air column <br />(g cm-1 S-2) <br /> <br />f~ <br /> <br />Duration of the process (s) <br /> <br />Figure 1 is a representation of the two. <br />dimensional flow across a barrier as given by Rhea <br />(1977). <br /> <br />N_ ~l Vz,qz,Qz <br />~}} vVI'I,qq""QQ.. \llP2 <br />vo.qo,Qo 6PI <br />Zz <br />llPo Z. <br /> <br /> <br />Zo <br />Xo <br /> <br />XI <br /> <br />X2 <br /> <br />Fig. 1. Symbolic two-dimensional flow across a barrier <br />(from Rhea, 1977). <br /> <br />The formula for computation of precipitation <br />rate - along grid interval .:1x is: <br />'1.1+1 <br /> <br />:- EV,.:1P, <br />('/'/+1)' = pwg.:1x (Q/+.:1C/,/.I)/ <br /> <br />(2) <br /> <br />where <br />1 <br />V <br />J1P = <br />Q: <br />J1C1,1+1 = <br />E <br />PO' <br /> <br />Computational layer in question <br />Horizontal wind speed in the x direction <br />at the upwind edge of the grid <br />Pressure thickness of the inflowing layer <br />at the upwind edge of the grid <br />Cloud water content (mixing ratio) of <br />liquid or solid at grid point I <br />Additional condensation (or <br />evaporation) due to vertical <br />displacement between points I and 1+ 1. <br />Precipitation efficiency <br />Density of water <br /> <br />3. <br /> <br />MODEL ADAPTATION <br /> <br />A previously noted, the model requires <br />36 topographic grids, one for each 100 wind direction <br />class. Figures 2 and 3 are contoured presentations of <br />the 10-km model topography for the 27(1' grids for the <br />Mogollon Rim of Arizona and the Delaware River <br />watershed. <br /> <br /> <br />19 <br />17 <br />16 <br />,J <br />" <br />9 <br />7 <br />6 <br />J <br /> <br />Fig. 2. Model topography for the Mogollon Rim area <br />of Arizona (contours in feet). <br />