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Two techniques for processing input time series data are available:
- Observed catchment runoff depth - SRG, which includes a model for baseflow separation, and
- Observed catchment surface runoff depth - SRG, which assumes all the data is surface runoff (i.e. no baseflow separation)
The following six rainfall-runoff models are available:
- Australian Water Balance Model (AWBM) - SRG
- GR4J - SRG
- IHACRES Classic The - SRG
- Sacramento - SRG (the Sacramento modelSimHyd and SimHyd )
- SIMHYD - SRG and SIMHYD with routing - SRG
- SMARG - SRG
- PERFECT GWlag - SRG
The six rainfall-runoff models can be configured based on: (i) a delineation of the catchment into smaller sub-catchments; or (ii) a lumped catchment scale. Inputs are spatially explicit, allowing representation of the heterogeneity in sub-catchments for land use, rainfall, evapotranspiration, etc; the generated runoff is lumped at the catchment scale. The models can be calibrated using observed climate and streamflow data in gauged catchments using a combination of objective functions and optimisation methods (the framework includes four optimisation methods and four pre-defined objective functions). The calibrated models can be used to simulate runoff from ungauged catchments using a suitable regionalisation method; alternatively, it may be possible to estimate parameter values from other studies or from the literature. Model inputs and outputs can be displayed as time series or spatial and temporal plots to assist with quality assurance. The framework also provides a number of test statistics that can be used to determine the quality of model calibration and simulation results. (After Welsh, et al, 2013.)
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