A Climatic Model for the Prediction of Percentile Statistics for Ambient Temperature

Abstract The probability density function (pdf) for ambient temperature is predicted from daily maximum and daily minimum temperature and sunshine, data by means of a climatic model. The shape of each half of the pdf is characterized by a single parameter which can he used directly for the prediction of percentile statistics. The predicted probability density functions are compared with measurements for Alice Springs and Melbourne, Australia.