Studies on frequency distributions of ambient temperature available in the literature are limited and are developed assuming that the distributions are symmetric about its average value. The present article examines the suitability of a new parameter, $T¯aˆ$, and a variable, $Taˆ$ to depict generalized distributions. $T¯aˆ$ is a normalized monthly average daily ambient temperature, while $Taˆ$ is a normalized daily ambient temperature. They comprise maximum and minimum ambient temperatures (Ta,max and Ta,min), in addition to monthly average daily ambient temperature, a, and daily ambient temperature, Ta. Correlations have been developed to predict Ta,max and Ta,min needed, in the absence of data. The distributions, developed in terms of $Taˆ$ and $T¯aˆ$ have been suitably represented and tested over 269 locations, latitudes ranging from 8°N to 64°N. The daily ambient temperature values have been predicted within a %rms difference and standard deviations of 0.43% (when Ta’s are in K) and 1.19 K with the expressions developed in the present study.

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