Post-Process Time History Statistics


Generate Statistics from a Probabilistic Time History


The purpose of this model is to generate probabilistic time histories and then post process a time history statistic. A Submodel ("Generate_Histories") runs for 100 days and 500 realizations to generate 500 individual time histories (Flow_Rate). The 99th percentile value of all the 500 realizations at each time step is exported from the submodel as a single time series ("Flow_Rate_99"). The value for each day of the 100 days in the time series is entered into a 100-row vector ("Vector_Peak_Flows"). The vector must have as many rows as there are time steps to be captured from the time series. The mean of all the 99% flow values is captured in the Expression element "Mean_Of_Flows".


Making Better Decisions In An Uncertain World