## Abstract The effect of global warming (represented by general circulation model monthly rainfall predictions) on the daily rainfall distribution is investigated using a mixed Gamma distribution to estimate the change of rainfall quantiles. A mixed distribution is used to overcome the limitation
REPRESENTATION OF DAILY RAINFALL DISTRIBUTIONS USING NORMALIZED RAINFALL CURVES
β Scribed by JOLLIFFE, IAN T.; HOPE, PETER B.
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 379 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0899-8418
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β¦ Synopsis
For daily rainfall the normalized rainfall curve (NRC) provides a plot of the cumulative percentage of rain days 6 ) against the cumulative percentage of rain amount (x). It is not immediately clear whether the equations that have been widely used to represent the relationship between x and y correspond to a valid probability distribution for daily rainfall amounts. We show that such distributions exist, but that they are truncated, i.e. not all positive values of rainfall have non-zero probability. In practice, the truncation may not be too important, but the form of the equations relating x and y is also determined for a number of wellknown probability distributions that are not truncated. The fit of the corresponding NRCs to some published rainfall data is examined.
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