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<br />CHAPTER II <br /> <br />.. <br /> <br />THE NUMERICAL MODEL <br /> <br />The Numerical Framework <br /> <br />Any researcher beginning a numerical simulation of a fluid flow field must <br /> <br />first make a determination as to whether his model framework will be Lagrangian or <br /> <br />Eulerian. Since computers are discrete state devices, the fluid continium must be <br /> <br />approximated as a series of discrete states or locations. One can choose to define <br /> <br />one or more Lagrangian "parcelsll and then track these parcels through time IJnd <br /> <br />space as discrete entities within the cloud envrionment or define an Eulerian grid <br /> <br />of observation points and determine the flux of relevant quantities past each of <br /> <br />these points as functions of time. <br /> <br />Most early one-dimensional cumulus models as typified by the work of <br /> <br />Weinstein and Davis (1968) and Simpson (1969) were single parcel Lagrangian or <br />I <br />"bubblell models. An imaginary "parcel" of air was given an impulse and allowedl <br /> <br />to rise buoyantly throughout an atmospheric sounding until its vertical motion <br /> <br />ceased at cloud top. More sophisticated versions of these models allowed the <br /> <br />parcel to dilute itself by mixing with its environment and to transfer such quantitiJs <br />I <br /> <br />as temperature, pressure, water content, etc., between parcel and environment. I <br />I <br />More recently, attempts have been made by Danielson (1972) and Young (1975) to! <br />I <br />I <br />I <br />4 I <br />I <br />I <br />I <br />