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Comment: Edit through the REST API

To run a scenario, do the following:

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  • Click Select Analysis Type on the Simulation toolbar to set the appropriate type of analysis. Depending on the scenario, Source offers several options for analysing your model data, including:
    • Flow calibration analysis, which calibrates a set of rainfall-runoff and flow routing model parameter values so that output from the model is representative of an observed data set;
    • Run w/Warm Up, which seeds the model with the available historical data and prepares for forecasting. This is enabled in River Operations scenarios only;
    • Single analysis, which simulates the river performance for a single set of conditions (as opposed to an iterative analysis which considers several possible outcomes); or
    • Stochastic analysis, which is used to generate flow replicates from stochastically generated rainfall inputs when dealing with stochastic climate data. See also Incorporating uncertainty into climate variability.
  • Click Configure on the Simulation toolbar to select the required time frame for the scenario to run. The resulting window depends on the type of analysis you chose in the previous step. 
    If you chose:
    • Flow Calibration analysis, the Calibration Wizard opens. Refer to Calibration Wizard for catchments;
    • Run w/Warm Up, the Run w/Warm Up window opens when you run an Operations scenario;
    • Single analysis, the Single Analysis window opens (Figure 1). If constituents have been configured in the scenario, the Constituents tab will be enabled where you can choose to run constituents over a selected date range or over the entire time range (using the Restrict checkbox shown in Figure 2)
    • Stochastic analysis, the Stochastic Analysis Tool opens.

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Figure 6. Specifying run configuration settings


Figure 7. Customising run configuration settings

Model run times

Generally, the larger or more complex the model, the longer it will take to run. There are several user-configurable options in Source that you can use to increase performance (ie. reduce scenario run times) by ensuring only necessary functions and features are enabled during a model run. For example, you can reduce the number of recorded parameters (see below), or reduce the modelling period by choosing appropriate start and end dates when configuring your model (Figure 1).  Other options include running various model components in parallel, these options can be enabled when configuring the model (Figure 1) and from within the Scenario Options dialog (Edit » Scenario Options). See Improving Performance for more information.

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