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Weather Modification
Title
A Model of Hygroscopic Seeding in Cumulus Clouds
Date
12/12/1978
Weather Modification - Doc Type
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<br />1758 <br /> <br />JOURNAL OF APPLIED METEOROLOGY <br /> <br />VOLUME 17 <br /> <br />A Model of Hygroscopic Seeding in Cumulus Clouds <br /> <br />GERARD E. KLAZURA AND CLEMENT J. TODD <br /> <br />Bureau of Reclamation, Denver, CO 80225 <br />(Manuscript received 15 August 1977, in final form 31 July 1978) <br /> <br />ABSTRACT <br /> <br />A systematic modeling exploration has been conducted to map the growth and trajectory of hygroscop- <br />ically initiated precipitation particles. The model used is a one-dimensional, steady-state, condensation- <br />coalescence model with adiabatic cloud water content. Drop breakup and freezing were simulated but <br />competition among precipitation particles was not considered. Sizes of initial, hygroscopic seeds varied <br />from 5 to 4OO,um in diameter, updraft speed ranged from I to 25 m s-', and cloud base temperature varied <br />from 0 to 200C. The 23 July 1970 salt seeding case reported by Biswas and Dennis was also analyzed using <br />the model. <br />The numerical simulations reveal several complex interactions: 1) For slow updrafts, the larger hygro- <br />scopic seeds travel through a lower trajectory and sweep out less water than small, hygroscopic seeds <br />which are also more apt to grow large enough to break up and create additional large precipitation particles. <br />2) For fast updrafts, the larger hygroscopic seeds grow into precipitation and stand a better chance of <br />breaking up and initiating a Langmuir chain reaction, while the small hygroscopic particles are carried <br />up to the cirrus level and are lost before they reach precipitation size. 3) For very strong updrafts only <br />large hygroscopic seeds will have a chance to convert to precipitation, and in this situation hail is produced. <br />4) Hygroscopic seeding produces a greater water yield from warmer based clouds. <br /> <br />1. Introduction <br /> <br />Because there are many interacting factors which <br />determine the characteristics of a cloud and how it <br />produces precipitation, gt:neralizations must be made <br />carefully. The purpose of this study has been to <br />produce a generalization which necessarily is based <br />upon a simplified set of assumptions. Any less re- <br />strictive set of assumptions would have caused the <br />computational requirements to increase dramatically <br />. and increase the complexity of the interpretation. The. <br />factors chosen for this study are well suited for com- <br />puter rather than intuitive exploration in that they <br />require a large number of integration steps. However, <br />the interpretation of the output was designed to be <br />adjusted by conceptual reasoning for making judg- <br />ments about precipitation processes and management <br />of precipitation in real clouds. <br />Observation of the growth of a single hydrometeor <br />under the influence of different cloud characteristics <br />can lead to a good first estimate from which some <br />general conclusions can be drawn. This observation <br />has been simulated through the use of a simple cloud <br />precipitation model which has in turn been used to <br />explore the opportunity for producing artificially <br />initiated precipitation (using hygroscopic seeding <br />material) when the natural mechanisms are too slow <br />to be effective. <br />Similar modeling investigations have been carried <br />out by Takeuchi (1975) and Rokicki and Young <br /> <br />(1978) using one-dimensional, steady-state, parcel <br />microphysical models. Results of the present investi- <br />gation will be compared with findings of these two <br />works. <br /> <br />2. Single hydrometeor condensation-coalescence <br />model <br /> <br />This study uses a one-dimensional condensation- <br />coalescence model that follows the growth of a single <br />precipitation particle in a specified cloud environ- <br />ment. It is a steady-state version of the feeder cloud <br />model described by Musil (1970). Both the dry and <br />wet hail growth equations were utilized as applicable <br />[see Eqs. (A6) and (A 10) , Musil (1970)]. A con- <br />densation subroutine was added to the model [see <br />Eq. (1), Chien and Mack (1966)]. The details of the <br />model including derivations of growth equations and <br />references and equations used for such items as ter- <br />minal velocities of precipitation particles, collection <br />efficiencies, ventilation coefficients, air viscosity, dif- <br />fusivity and conductivity are discussed by Musil (1970). <br />The processes simulated are as follows: non-com- <br />peting hygroscopic particles are released in the updraft <br />region beneath the cloud and grow by condensation <br />until they penetrate the cloud base. Then both con- <br />densation and coalescence occur until the particle has <br />grown to a 100 J.lm diameter,' at which point growth <br /> <br />1 Unless otherwise noted, all sizes refer to diameter. <br />
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