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<br />4 <br /> <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />With the development of the CSU dynamic (controlled expansion) <br /> <br /> <br />cloud chamber (DCC) some of the severe limitations of the laboratory <br /> <br /> <br />study of ice nuclei have been removed or ameliorated. No substrate is <br /> <br /> <br />needed to capture or support the ice nucleating particles (as for <br /> <br />membrane filters). Gradients in temperature and supersaturation are <br /> <br /> <br />controlled so that conditions in the chamber are nearly uniform, unlike <br /> <br />condi tions in static or laminar flow chambers. Furthermore, cloud <br /> <br /> <br />formation rates are comparable with those in many natural clouds, and <br /> <br />cloud condensation temperatures and pressures can be controlled over <br /> <br />most of the atmospheric range. The different environmental paths by <br /> <br />which nuclei arrive at a certain point in a cloud can also be simulated <br /> <br />in the cloud chamber. As will be discussed, cooling rates and <br /> <br />particulars of the ice crystal detection system introduce some <br /> <br /> <br />complexities, but these are surmountable. All of the factors affecting <br /> <br />nucleation can be measured and independently controlled in cloud <br /> <br /> <br />chamber experiments and in theoretically based computer model <br /> <br /> <br />simulations. Experiments of this type have not been done before. <br /> <br />1.2 Objectives of Research <br /> <br />The general objectives of this research program were to design a <br /> <br />series of experiments to study the ice forming processes of artificial <br /> <br />ice nuclei under a variety of well-defined cloud environmental <br /> <br />conditions (equivalent to conditions in atmospheric clouds) in the <br /> <br />laboratory; to compare results of these laboratory experiments with the <br /> <br />best descriptions currently available for use in numerical cloud <br /> <br />models; to provide experimentally determined descriptions of ice <br /> <br />formation which can be incorporated in conceptual and quantitative <br />