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<br />was that in a future effort, estimated CLW values could then be used with corresponding <br />precipitation data to estimate PE in winter storms on the Mogollon Rim. Meaningful cloud <br />Eifficiency estimates would be quite useful in the determination of cloud seeding suitability. <br /> <br />1rhe availability of radiometer measurements of CLW at HJ for a major portion of January <br />through March 1987, along with companion soundings from CVR, and an available 10-winter <br />sounding record for DRA, INW, and TUS that included the 1987 period, set the stage for this <br />study. Two approaches were used, one more statistical in nature and the other involving the <br />application of a one-dimensional model that estimates CLW content. Scatterplots were <br />developed between sounding variables for the various sites and between sounding variables and <br />HJ CLW measurements. The latter's estimate found best related to the sounding information <br />was a 7-h mean centered on the sounding hour. <br /> <br />.With the exception of temperature, no apparent linear (or other) relationship was indicated in <br />the scatterplots of DRA sounding variables and like information from the other sounding sites. <br />A strong linear relationship was evident for temperature between the various other sounding <br />sites. Weaker, but noticeable, linear relationships between sites were evident at 750 and 700 <br />mb in relative humidity, wind direction, and wind speed. For these two levels, the HJ CLW was <br />linearly related to particularly the INW 750-mb wind speed. <br /> <br />Indications of linear relationships with HJ CLW suggested MLR as an approach to relate the <br />sounding information to CLW and develop forecasting equations. From a number of <br />independent variables (HJ CLW the dependent variable), stepwise regression yielded a <br />multiple correlation of 0.78 with the mean of CVR 700- and 750-mb relative humidity and a <br />second independent variable, INW 750-mb wind speed, suggesting that local sounding <br />information can yield useful estimates of CLW on the Mogollon Rim. This finding should be <br />useful in the conduct offuture experiments and perhaps operational seeding. With TUS relative <br />humidity and INW wind speed as independent variables, the multiple correlation decreased to <br />0.67, but still a significant and useful result. In an attempt to improve on this figure, a <br />one-dimensional model was acquired that could use soundings as input to develop estimates of <br />CLW content. <br /> <br />The Smith-Feddes model was selected, obtained, reconfigured, and adapted for application to <br />the Mogollon Rim. Essentially, the model calculates the adiabatic CLW. Adjustments are made <br />to the adiabatic values, depending upon estimated cloud type, with the use of empirical curves <br />developed from aircraft data. Once configured, the model is easily applied on micro- or <br />mini-computers. <br /> <br />F'or comparison with measurements, the model-estimated maximum LWC was employed for <br />each sounding. Comparison with HJ CLW measurements (7-h means) produced a correlation of <br />0.49 when TUS soundings were employed. Running with INW soundings resulted in a <br />somewhat lower value apparently caused by dynamic effects produced by the Mogollon Rim. <br />When the INW 750-mb wind speed was introduced as a second independent variable in MLR, <br />the multiple correlation was 0.59, short of the 0.67 obtained with the more statistical approach. <br />The less than desirable performance by the model may be caused, in part, by improper cloud <br />typing and entrainment adjustments for the Mogollon Rim. Resources did not allow the <br />illlvestigation of the sensitivity ofthese model features. <br /> <br />16 <br />