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<br />'The results in table l(c) suggest that local-sounding lower-level relative humidity, such as from <br />CVR, when combined with INW lower-level wind speed, can yield useful estimates of the HJ <br />CLW as measured by the vertically-pointing radiometer. The variance explained was 61 <br />percent, a noticeable amount particularly for CLW, a complex and highly variable cloud <br />feature. The application of this analysis process on local and INW sounding data, to estimate <br />CLW, should be useful to cloud seeding studies particularly when used in combination with <br />other sensor cloud measurements. <br /> <br />Because the CVR data set is limited to the winter of 1987, MLR application to sounding data <br />Bolely from INW and TUS was pursued. Given in table 1 are the results obtained with a <br />number of independent variable candidates where, as previously, HJ CLW is the dependent <br />variable. A best multiple cOITelation coefficient of 0.67 was obtained with the mean ofTUS 700- <br />Imd 750-mb relative humidity and INW 750-mb wind speed. The variance explained by the <br />more remote sounding data is lower at 45 versus 61 percent when CVR data was included. The <br />MLR establishes the coefficients by which estimates of HJ CLW can be developed with <br />soundings of the 10-winter data set. <br /> <br />'rhough the INW-TUS MLR equation represented effects of relative humidity and wind speed, <br />some temperature profile effects on HJ CLW may have been absent and might have improved <br />results if included. Although some incorporating expression could be developed through a <br />selection and testing process, an alternative and more sophisticated approach was the <br />a.daptation and application of an existing operational model that estimates CLW. This avenue <br />was pursued with expectations that such a model could lead to improved estimates. <br /> <br />Table 1. - Multiple regression results with sounding derived relative humidities (RH) and <br />wind speeds (WS) as independent variables and HJ CLW as the dependent variable!. <br /> <br />Independent <br />variables <br /> <br />Multiple <br />correlation <br /> <br />Adjusted R2 <br /> <br />Root mean <br />squared error <br /> <br />(a) <br /> <br />Xl: Mean ofCVR 700- and 750-mb RH <br />Xz: Mean ofCVR 700- and 750-mb WS <br /> <br />0.67 0.44 0.043 <br />Regression equation: Y' = -0.0654+0.1306XI+0.0033Xz <br /> <br />(b) <br /> <br />XI: Mean of CVR 700- and 750-mb RH <br />Xz: INW 750-mb WS <br /> <br />0.79 0.61 0.037 <br />Regression equation: Y' = -0.0753+0.1375XI+0.0043Xz <br /> <br />(c) <br /> <br />Xl: Mean ofTUS 700- and 750-mb RH <br />Xz: INW 750-mb WS <br /> <br />0.67 0.45 0.043 <br />Regression equation: Y' = 0.0512+0.1262XI+0.0039Xz <br /> <br />1 Dependent variable - a HJ CLW estimate cOnsists of the mean for 7 hours that are centered on the <br />sounding time. <br /> <br />12 <br />