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TSTool Documentation <br />The time series manipulation features of TSTool facilitate using variations of an input time series for <br />analysis. For example, a time series may be read and manipulated to produce several variants, which are <br />then written for use in a model or analysis. The TS Al ias = Copy O command could be used to <br />create copies of the original time series. An alternative is to use the TS Al ias = <br />NewTimeSeries () command to create anew time series (specifying a location part of the time series <br />identifier that is suitable for output), and then use the Set FromTS O command to copy all or part of the <br />original time series into the new time series. These two commands therefore allow one time series to be <br />read and copied into new time series, each of which has a new location in the time series identifier. Other <br />commands also allow aliases to be assigned as time series are created. <br />If specified, time series aliases are generally output in the legends of graphs and other data products. <br />2.6 Time Series Ensembles <br />A time series ensemble is a group of related, typically overlapping, time series. Ensembles can be used to <br />manage related scenarios (e.g., input and results of model scenarios) or as a way of shifting a historical <br />time series so that years overlap. Many commands operate on a list of time series by using the parameters <br />TSList= EnsemblelD and Ensemble ID= "Some lD ". Statistics time series can be derived from <br />ensembles, for example to calculate the average condition over time (although care must be taken in <br />whether this can be interpreted as a time series of related values, for use as input to a process). Ensembles <br />are assigned unique identifiers and are displayed at the bottom of the TSTool main window in a separate <br />results tab. The following figure illustrates an ensemble of annual time series created from a long <br />historical time series. <br />Introduction - 10 30 <br />