Sampling a Continuous Loop of Historic Time Series Data
Description
This model demonstrates the
time series shifting options to make the most of historic data in Monte Carlo simulations. Each realization samples a time series in the order it is given but starting on the same day within a random year of the time series. After starting each realization in this fashion, if the simulation reaches the end of the time series, the simulation "wraps" around to access the beginning of the time series. In water resources, this kind of sampling is known as the indexed sequential method.
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See Also
Other general GoldSim models
Other Water Resources models
