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TSTool Documentation To locate time series in memory, TSTool generally looks through the list of time series, searching backwards from the current command being processed. Alternatively, the TSLi st parameter for the command will be used if available. It is possible to use the same identifier more than once in a command file while allowing localized processing of each time series; however, this may lead to confusion and should be avoided. In the above example, the time series identified by 08235350. USGS . Streamf low. Month— HydroBase is read twice, once to be acted on by the Add O command, and once with no manipulation (e.g., to compare the "before" and "after "). During processing, extra time series can accumulate and will be available for output. Use the Free ( ) command to free time series that are no longer needed. This removes the time series from memory. See also the DeselectTimeSeries ( ) and SelectTimeSeries ( ) commands. Output commands also may use the TSLi st parameter to indicate which time series are to be output. 5. After processing the time series, a list of available time series that are in memory are listed in the GUI. One or more of these time series can be selected and viewed using the Results menu or analyzed using the Tools menu (also right click on time series listed in the results menu at the bottom of the main window). Time series can also be saved in some of recognized input type formats using the File... Save... Time Series As menus. If running in batch mode using the - commands option, all of the above steps occur in sequence and the GUI interfaces are not displayed. Old command files should be updated to reflect the new processing sequence. Processing the example shown above results in three time series in memory: A time series identified by 08235350. USGS . Streamf low. Month, containing the sum of the two time series. A time series identified by 08236000. USGS . Streamf low. Month, containing the input to the Add() command. A time series also identified by 0 82 3 53 5 0. USGS . Streamf low. Month, containing the original data from the time series that is added to. This contains the original data because a time series identifier by itself in a command list will cause the time series to be read. These time series can be graphed or saved in an output file. 2.5 Using Time Series Aliases The previous sections discussed time series identifiers and processing time series. The concept of a time series alias was described as a "shortcut" when identifying a time series. Aliases are useful when creating more complicated lists of commands, where using full time series identifiers become cumbersome. Aliases are typically assigned when creating new time series using the following command syntax: TS Alias = SomeCommandThatCreatesATimeSeries () SomeCommandThatCreatesTimeSeries (Alias = "some pattern ") Most supported time series input types do not inherently use aliases (an exception is the DateValue format, which will initialize a time series' alias if the input DateValue file specifies the information). Instead, time series typically are identified by the location part of the time series identifier (e.g., a station identifier). Although time series can use aliases to simplify processing, the location part of the identifier will generally be used when outputting time series to files or databases. 29 Introduction - 9