Effect of Data Sampling Time Resolution on Probability Distribution of Elapsed Time Between Rainfallsby James W. Ellerbroek, Wilson & Co, Colorado Springs, United States,
Ben Chie Yen, (F.ASCE), Wilson & Co, Colorado Springs, United States,
Robert Riggins, (F.ASCE), Wilson & Co, Colorado Springs, United States,
Abstract: The elapsed time between rainfalls is useful information in statistical forecasting of rainfall and runoff. The probability density function (pdf) of the elapsed time can be determined through statistical analysis of rainfall data. It has been proposed that the data sampling time interval could affect the statistical analysis and, thus, affect the elapsed time pdf. In this study this effect is investigated by analyzing the break-point, continuous rainfall data of an ARS Experimental Watershed near Coshocton, Ohio. The result indicates that the sampling time resolution has a minor effect on the rainfall elapsed time pdf, provided the elapsed time is more than two or three times the time resolution.
Subject Headings: Probability | Probability distribution | Rainfall | Rainfall-runoff relationships | Hydrologic data | Data processing | Rain water | Data analysis | Watersheds | Runoff | North America | Arkansas | Ohio | United States
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