Relationships Between Integrated Atmospheric Moisture and Surface Weather

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  • 1 Techniques Development Laboratory, Weather Bureau, ESSA, Silver Spring, Md.
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Abstract

Linear regression equations are presented which relate the natural logarithm of total precipitable water in the atmospheric column below 500 mb to surface dew point, sky cover and weather at 1200 GMT over the eastern and central United States and southern Canada. About 86% of the yearly variance is explained by these three variables. Lowest cloud height, sea-level pressure, surface temperature, surface wind, station elevation, latitude and longitude do not add appreciably to this reduction of variance. Stratification by month, region, or both, while increasing the reduction of variance slightly, does not appear to be necessary for this particular geographic area.

Abstract

Linear regression equations are presented which relate the natural logarithm of total precipitable water in the atmospheric column below 500 mb to surface dew point, sky cover and weather at 1200 GMT over the eastern and central United States and southern Canada. About 86% of the yearly variance is explained by these three variables. Lowest cloud height, sea-level pressure, surface temperature, surface wind, station elevation, latitude and longitude do not add appreciably to this reduction of variance. Stratification by month, region, or both, while increasing the reduction of variance slightly, does not appear to be necessary for this particular geographic area.

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