Abstract

Winter design dry-bulb temperatures at 99% and 97.5% frequency levels were developed and analysed by multiple regression and spatial correlations developed using as regressors altitude, latitude and longitude. Winter design dry-bulb temperatures were negatively related to altitude and latitude. Latitude was the most influential regressor on the winter design dry-bulb temperature distributions. Summer design dry- and wet-bulb temperatures, and wet-bulb depressions at 1%, 2.5% and 5% frequency levels were also developed and analysed by multiple regression and spatial correlations were developed using as regressors altitude, latitude and longitude. Altitude was the only statistically significant influential regressor on the summer design dry-bulb temperature distributions. Latitude was the most influential regressor on the summer design wet-bulb temperature distributions. Altitude was the only statistically significant influential regressor on the summer design wet-bulb depression distributions. Spatial correlations and distributions of prevailing wind speeds, mean daily ranges, and median of annual extreme temperatures were developed and mapped.

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