This note describes the use of multiple regression techniques for estimating long-term climatic averages of mean monthly air temperature from elevation, latitude, and distance from the coast. It is shown for 22 climate stations in southeast-ern New South Wales that for mean maximum temperature the regression accounts for over 89 per cent of the variance in each month, and the estimates of monthly means of the diurnal temperature range account for over 8S per cent of the variance in each month. Equations derived for southeastern New South Wales have been used to obtain detailed information on the spatial distribution of long-term averages of monthly mean maximum and minimum air temperatures for an area on the lower south coast. Good general agreement is shown to exist between estimated and observed values.
Johnson et al. (Tue,) studied this question.