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<br />The Moroccan weather modification program (Al Ghait) has been <br />designed to increase the winter snowpack over the Atlas Mountains by <br />cloud seeding. To improve the program's efficiency, the Rhea winter <br />orographic precipitation model, which is a 2-D (in the x-z plane) <br />steady-state multilayer model, is being adapted to the Atlas Mountains <br />to meet the following objectives: a) forecast orographic precipitation, <br />b) estimate streamflow (for eventual use in the statistical evaluation), <br />c) evaluate cloud seeding effects on the precipitation (after calibra- <br />tion of the efficiency factor), and d) determine the ability of the <br />model to diagnose the magnitude of the orographic effects on winter <br />precipitation. Also, preliminary sensitivity tests on some of the model <br />parameters have been accomplished (Sec. 2.7). <br />Indeed, since the project started in 1984, several Moroccan~) have <br />come to the United States to learn more about cloud physics and dynamics <br />and therefore contribute more effectively to the success of Al Ghait. <br />The subject of this thesis is part of this training. <br />1.2 8ackqround <br />In this study, we will try to meet the above mentioned objectives <br />using routinely available upper air soundings from 8eni Mellal (Fig. <br />1-1) and a fine mesh topographic grid (Fig. 1-2) as computational <br />input. <br />The total orographic precipitation (RT) can be considered as a sum <br />of three components, namely: <br />a. the orographic (or forced lifting) precipitation component <br />(Ro), <br />b. the convective precipitation component (Rc), and <br /> <br />2 <br /> <br />I <br />I <br />I <br />I <br />I <br />,. <br />I <br />J <br />I <br />I <br />I <br />I <br />t <br />I <br />, <br />I <br />I <br />1 <br />I <br />