Chapter
Apr 26, 2012
The Probability Distribution of Daily Rainfall in the United States
Publication: World Environmental and Water Resources Congress 2008: Ahupua'A
Abstract
Choosing a probability distribution to represent the precipitation depth at various durations has long been a topic of interest in hydrology. Early study into the distribution of wet-day daily rainfall has identified the 2-parameter Gamma (G2) distribution as the most likely candidate distribution based on traditional goodness of fit tests. This paper uses probability plot correlation coefficient test statistics and L-moment diagrams to examine the complete series and wet-day series of daily precipitation records at 237 U.S. stations. The analysis indicates that the Pearson Type-III (P3) distribution fits the full record of daily precipitation data remarkably well, while the Kappa (KAP) distribution best describes the observed distribution of wet-day daily rainfall. We also show that the G2 distribution performs poorly in comparison to either the P3 or KAP distributions.
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© 2008 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Climates
- Data analysis
- Distribution functions
- Engineering fundamentals
- Environmental engineering
- Hydrologic engineering
- Hydrology
- Mathematical functions
- Mathematics
- Meteorology
- Methodology (by type)
- Precipitation
- Probability
- Probability distribution
- Rainfall
- Rainfall duration
- Research methods (by type)
- Stochastic processes
- Water and water resources
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Dept. of Civil and Environmental. Engineering, Tufts Univ., Medford, MA 02155. E-mail: [email protected]
Dept. of Civil and Environmental Engineering, Tufts Univ., Medford, MA 02155. E-mail: [email protected]
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