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<br />There are 12 different possible cloud types for detennination by the SFM, including "clear" and <br />"unknown" as two of the classifications. The other 10 types are stratus, stratocumulus, <br />cumulus, nimbostratus, altocumulus, altostratus, cirrostratus, cirrus, cirrocumulus, and <br />cumulonimbUs. Cloud type is selected for a particular layer according to the lapse rate of <br />equivalent potential temperature and layer average temperature. No adjustments were made <br />to this process in the adaptation for Arizona. <br /> <br />Modeling results <br /> <br />Adaptation of the SFM included alteration of the input routines to iteratively handle 80undings <br />that had been interpolated for processing by the LSPM (Local-Scale Orographic PrElcipitation <br />Model). Once the model was operable, parameter settings were detennined by fitting the 1987 <br />CLW measurements through trial model runs with CVR soundings. The CLW values employed <br />were the usual 7-h means used in the previous regressions. The CVR soundings used were <br />those that properly matched the CLW values. <br /> <br />Given in table 2(a) are MLR results obtained with SFM estimates as one of the independent <br />variables. Prior to MLR application, the model was individually applied to CVR, INW, and TUS <br />soundings. With SFM estimates on CVR soundings and INW 750-mb wind speed as <br />independent variables, a multiple correlation of 0.72 was obtained. As a single independent <br />variable, the model estimates from CVR soundings yielded a correlation value of 0.59. The 0.59 <br />value was also obtained with the independent variables SFM estimates on TUS soundings and <br />INW 750-mb wind speed, as indicated in table 2(b). The multiple correlation was slightly lower <br />with the variables, model estimates from INW soundings, and INW 750-mb wind speed. The <br />correlation was 0.49 with only the model estimates from TUS as the independent variable. <br /> <br />Table 2. - Multiple regression results with SFM estimates as an independent <br />variable and HJ CLW as the dependent variable1. <br /> <br />Independent <br />variables <br /> <br />Multiple <br />correlation <br /> <br />Root mean <br />Adjusted R2 squared error <br /> <br />(a) <br /> <br />XI: S-F model results on CVR soundings <br />X2: INW 750-mb wind speed <br /> <br />0.72 0.52 0.040 <br />Regression equation: Y' = -0.0211+0.1419X1+0.OO44X2 <br /> <br />(b) <br /> <br />XI: S-F model results on TUS soundings <br />X2: INW 750-mb wind speed <br /> <br />0.59 0.35 0.045 <br />Regression equation: Y' = -0.0098+0.149OX1+O.0037X2 <br /> <br />lDependent variable - the HJ CLW estimate is defined in table 1. <br /> <br />SUMMARY AND DISCUSSION <br /> <br />The primary purpose of task 1 of this study was to determine a method or mE!thods for <br />estimation of CL W content in winter clouds on the Mogollon Rim. The technique had to be <br />applicable to historical sounding data for estimation of CL W during that period. The rationale <br /> <br />15 <br />