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- Build and run a catchments scenario;
- Develop river operator scenarios to support day-to-day operations;
- Input data in several ways, including with the Function manager or the Climate data Import tool;
- Use additional analysis tools and plugins; and
Run and analyse the results using either the command line
or the user interface only now.Jira Legacy showSummary false server JIRA serverId c4ca6e0f-9f42-3d1a-879c-870abe699ab1 key RM-20489
Restrictions on functionality are detailed below:
- Limited Node palette (i.e. not all nodes are available)
- Limited to 20 Nodes & Catchments in total (excluding confluence nodes)
- Simple Function editor
- Simple Calibration tool (limited to 1 objective function and 1 calibration engine)
- Plug-in capabilities but specific Plugins will be available separately via the Plugin Store
- Basic IT/Installation support included
- Some scenario management tools are not available (such as Import/Copy Scenario Functionality, Scenario Diff tool and Scenario Input Sets)
- Some edit tools such as Feature Table and Tabular Editor
- User Logs (Note: it is not Log Reporter) are no available
- NetLP optimisation is not available
- GN1D groundwater flux model are not available
- Constituents and Water Quality models (i.e., Constituents generation, Constituents filters, Routing and Storages) are not available
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In the user guide, content that is not available in Source (public version) is identified on the relevant pages. |
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Full Function Editor (limited functionality)
Only Modelled variable is available in Source (public version). Most types of variables including Pattern variable, Time series variable, Piecewise linear variable , Bilinear variable and Context variable are not available in Source (public version).
- Pattern variable - creates a dataset of repeating time-dependent values (eg. daily or monthly pattern). Value used is based on the current simulation date and time;
- Time series variable - uses a time series data source as input. Value used is based on the current simulation date and time;
- Piecewise linear variable - creates a lookup table that interpolates a Y value based on an X value.
- Bilinear variable - similar to a piecewise linear variable, but allows you to look up and interpolate between values in two dimensions;
- Context variable - for applying the same function in a number of locations that use modelled variables.
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