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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.
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.
| All Time | Past Year | Past 30 Days | |
|---|---|---|---|
| Abstract Views | 0 | 0 | 0 |
| Full Text Views | 272 | 191 | 21 |
| PDF Downloads | 32 | 15 | 1 |
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