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The six rainfall-runoff models can be configured based on: (i) a delineation of the catchment into smaller lumped sub-catchments; or (ii) a lumped catchment scale. Inputs are explicit for each sub-catchment, allowing representation of the heterogeneity in catchments at the sub-catchment scale. Variations in land use, rainfall, evapotranspiration, etc. are lumped at the sub-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 - more information is available via /wiki/spaces/SD37/pages/25598103Enhanced analysis - SRG). 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 descriptive statistics that can be used to assess the quality of model calibration and simulation results. (Abridged from Welsh, et al, 2013.)
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