Input data is specific to the component models that you use, but typically consists of climate, topography, land use, rainfall, and management practices. Examples of these are provided in Tables 1 and 2.
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| Base layers and data | Common data formats | Description and use | |
|---|---|---|---|
| Digital Elevation Model (DEM) | Grid | A pit-filled DEM is used to compute the sub-catchment boundaries and node-link networks. Source can automatically generate sub-catchment boundaries according to a user-specified minimum drainage area (stream threshold) and flow gauging station positions. Selecting a small minimum sub-catchment area value will generate a large number of sub-catchments. This will increase the size of the project and run-time. | |
| Sub-catchment map | Grid | A sub-catchment map can be used in place of a DEM. This defines the sub-catchment boundaries within Source. You then need to draw the node-link network for the catchment. | |
| Functional Unit (FU) map | Grid | A functional unit (FU) map divides the sub-catchment into areas of similar hydrological behaviour or response (eg. land use). Source uses FU maps to assign functional unit areas. The FU map needs to have the same projection and resolution as the DEM or sub-catchment map (but it can have different extents, provided the FU map at least covers the extent of the sub-catchment defined by the modeller. | |
| Gauging station nodes | Point | Optionally, a shape file or ASCII text file that lists the gauging station coordinates, and an identifier such as gauge name or number that is used to define gauging station nodes. The coordinates of the gauges need to be in the same proejction as the DEM or sub-catchment map.
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| Rainfall and PET data | Grid or time series | Rainfall and potential evapotranspiration (PET) time series are used as inputs to the rainfall-runoff models. The most commonly-used files are SILO daily rainfall-runoff and PET ASCII grids. Using a daily ASCII grid format allows you to update the rainfall data at a later stage and re-run the model. Table 39 shows the format of the input data required. If local data is available, you can also attach your own rainfall data files to rainfall runoff models for each FU within a sub-catchment. | |
| Point source data (if storages are to be modelled) | Time series | Outflow and/or constituent data. The time series needs to have the same time-step, an should be run for at least the same duration, as the climate or flow inputs to the model. | |
| Storage details (if storages are to be modelled) | Time series | Includes coordinates, maximum storage volume, depth/surface area volume relationship, observed inflow and outflow data, losses, extractions, release rules, dam specifications, gates, valves, etc. | |
| Stream network layer (optional) | Polyline |
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| USLE (Universal Soil Loss Equation) and/or gully density layers (optional) | Grid | Can be used to spatially vary EMC/DWC values in the constituent generation process (use the Scale EMCs and DWCs with the Hazard Map constituent generation method available through the Spatial data pre-processor plugin). The layers need to have the same projection and resolution as the DEM or sub-catchmetn map (but can have different extents). |
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The TIME framework (used by Source) uses a subset of the ISO-8601 standard. The central part of this subset is the use of the format string:
yyyy-MM-ddTHH:mm:ss
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Dates should comply with the ISO 8601 standard where possible but more compact formats will be read if unambiguous. For example:
the dates 24/01/2000 (Australian) and 01/24/2000 (USA) are unambiguous; but
the date 2/01/2000 is ambiguous and depends on the local culture settings of the host machine.
The TIME framework will always write dates in the following format and it is recommended that you follow the same format and use zero padding within dates. For example, "2000-01-02" is preferred over "2000-1-1" to avoid ambiguity:
yyyy-MM-dd
Annual data can often be entered by omitting a day number and using month number "01" (eg 01/1995, 01/1996, 01/1997).
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Possible problems with time-steps
Incorrectly-formatted date and/or time entries will result in errors if Source is unable to interpret your data file (eg. LoadDataFileIOException). You may also need to check your data if you use an ambiguous date format.
There are two known problems where a time step may be incorrectly detected:
- When reading a file on a computer with US settings, because of the mm/dd/yyyy date format. This may happen if the whole of a daily time series covers less than 13 days, or less than 12 months for a monthly time series; or
- When reading a file which has years in two digit format (eg. 30/01/99) instead of four digit format (eg. 30/01/1999). An error will occur if your time series has the two-digit years 29 and 30. In this case 29 is read in as 2029, and 30 is read in as 1930. Note that data exported from Excel in *.csv format will be saved with the displayed date.
Both problems can be avoided by using the recommended ISO 8601 format to prevent ambiguity.
Predicted or calculated data
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