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<br />model-diaqnosed cloud growth and observed cloud growth and rainfall. Due to <br />this success, the model-derived dynamic seedability was used as a criterion <br />for declaration of experimental days in the Florida Area Cumulus Experiments <br />(Simpson and Woodley, 1975). Other studies of dynamic seedability usinq <br />similar one-dimensional, steady-state models have been made by Weinstein <br />(1972a) and Cotton and Boulanqer (1975). Dennis et al. (1975) combined <br />field and model experimental results from a project in the Hiah Plains of <br />South Dakota to determine the potential for dynamic and static seeding. <br />Their results showed that the correlation between modeled natural cloud-top <br />height and maximum echo-top height was 0.89, significant at the I-percent <br />level. The model used by Dennis et al. was used in this report to descr.ibe <br />the frequency of dynamic seeding opportunities on the High Plains from <br />Montana to Texas. <br /> <br />In this report the term "dynamic modification potential" (DMP) refers to the <br />model analysis of potential for cloud qrowth due to dynamic seeding. DMP is <br />defined as the difference in cloud-top height between the modified and natural <br />cloud tops predicted ry the model (modified top height-natural top heiqht). <br />It is measured in kilometers. <br /> <br />4. Model Sensitivity and Qualifications <br /> <br />a. Model Application <br /> <br />One-dimensional, steady-state parcel models provide an objective analysis <br />of basic thermodynamic features which affect the potential for convective <br />cloud growth. The models quantitize the manual analysis of positive area <br />above the CCl (convective condensation level) found on a thermodynamic <br /> <br />7 <br />