Uncertainty of rainfall characteristics with minimum inter-event time definition for a raingauge station in Johor, Malaysia

Monte Carlo simulation (MCS) is a process of replicating the real world based on specified distributional properties. It is a statistical sampling method often utilised to perform risk and uncertainty analysis. In this study 10,000 MCS trials were used to determine the uncertainties for rainfall duration, depth, intensity and storm separation time for a rainfall station in Johor, Southern Malaysia. Simulation results from the study indicate that the mean and standard deviation values of rainfall depth, rainfall duration and rainfall separation time increased as the minimum inter-event time (MIT) increases from 2 hrs to 24 hrs. Similarly, the most likely ranges and most likely percentages also increased as the MIT increased. However, these values were found to remain almost within a constant value for rainfall intensity until an MIT value of 12 hr is reached after which a decline was observed.