Statistical Inference of Cloud Thickness from NOAA IV Scanning Radiometer Data.
UTAH UNIV SALT LAKE CITY DEPT OF METEOROLOGY
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A statistical correlation between cloud thickness and brightness is shown by regression analyses using the least square method. Cloud thickness are obtained from two sources pilot reports and the Three-Dimensional Nephanalysis 3DNEPH program for cases of single stratus and strato-cumulus layers. Brightness values are obtained from the NOAA IV satellite scanning radiometer. Regression analyses are performed on both thickness data sources used in conjunction with the scanning radiometer data. The results are shown by the regression curve relating pilot report thicknesses and brightness accounting for 66 R sq 0.66 of the variance between the variables, and the regression curve relating 3DNEPH thicknesses and brightness accounting for 46 R sq 0.46 of the variance between the variables. Moreover, in view of the effect of cloud compositions on the cloud brightness, regression analyses are performed on both thickness data sources excluding those cases whose origin is an unstable maritime tropical air mass. Results of these regression analyses reveal increases in the correlation between cloud thickness and brightness with 88 and 55 of the variances accounted for pilot reports and 3DNEPH program data sources, respectively. Author