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Last modified
7/28/2009 2:38:10 PM
Creation date
4/16/2008 11:07:50 AM
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Weather Modification
Title
Thermodynamic Features Affecting Convective Cloud Growth and Dynamic Seeding: A Comparitive Summary of HIPLEX Soundings 1975-1977
Date
7/1/1981
Weather Modification - Doc Type
Report
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<br />related to convective cloud development on the High Plains. Previous <br /> <br />studies by Hirsch (1971) showed that the GPCM-diagnosed cloud tops and <br />radar echo tops had a correlation coefficient of 0.82 (sample of 40 cases). <br />Similar studies by Simpson and Wiggert (1971) showed that their model <br /> <br />also had reasonably good correlations. Appendix 1.1 provides more <br /> <br />detailed information regarding model vs. aircraft verification analyses. <br /> <br />e. Predicted Convective Intensity vs. Observed Cloud Types <br /> <br />Model analyses of conditions on days having satellite observations of <br /> <br />clear, cumulus, cumulus congestus, and cumulonimbus at the three primary <br /> <br />HIPLEX sites (MLS, GLD, BGS) were compared. These subjective visual <br />cl assifi cations of satell ite photos showed that many of the model.. <br /> <br />diagnosed lapse rates, moisture, and cloud properties varied in a manner <br /> <br />consistent with the increasing intensity of the four cloud types. These <br />variations agreed with theoretical expectations. Table 4 presents a set <br />of these cases where convective cloud sample statistics of cloud-top areas <br />were derived from digital satellite observations (Reynolds et a.l., 1978) <br />from 1976 and 1977 HIPLEX field seasons. The digital imagery were analyzed <br />using a man-computer interactive video display system (ADVISAR)1J which <br /> <br />permitted the manual selection of appropriate clouds and elimination of <br /> <br />contamination problems of cirrus and nonconvective clouds. These cases <br /> <br />were selected and analyzed independently from the subjective photographic <br />interpretation of the four cloud types. In this sample of 49 days, <br />multiple regression analyses were performed to determine linear relation- <br />ships between model-analyzed thermodynamic variables and cloud properties, <br /> <br />1/ All Digital Video Imaging System for Atmospheric Research at Colorado <br />State University. <br /> <br />17 <br />
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