Generating Continuous Rainfall Time Series with High Temporal Resolution by Using a Stochastic Rainfall Generator with a Copula and Modified Huff Rainfall Curves

In this study, a stochastic rainfall generator was developed to create continuous time series with high temporal resolution of 10 min. The rainfall-generation process involved Monte Carlo simulation for stochastically generating parameters such as quantity, duration, inter-event time, and type. A bivariate copula used preserve the correlation between quantity duration in generated series. modified Huff curve method overcome drawbacks type classification by using conventional method. number discarded events lower than Moreover, includes new that better represents relatively uniform pattern. reproduce Yilan River Basin Taiwan. statistical indices were close those observed results obtained indicated necessity suitability proposed Overall, can suitably