The setup used in the example is a river network including a Branch1 connected to a Branch2 approximately midway (reused from example1). The two upper bounds are discharge bounds and the downstream boundary is a water level boundary. Besides receiving water from the upstream boundaries the river network also receives water from Catchment1 and Catchment2. Branch1 receives inflow as distributed lateral inflow from Catchment1 upstream the connection point and Branch2 receives distributed lateral inflow from Catchment2. Both catchments are NAM catchments. See the setup for details.
The objective of the example is to calibrate the model with respect to the NAM parameters, given timeseries of discharge measured at three different locations in the river network. We start with a sensitivity analysis to determine the most important parameters to be included in the calibration. This part is included as Example2\Test2-Autocal.auc.
After this the actual calibration is made using parameter optimisation on the parameters depicted from the sensitivity analysis. This part is included as Example2\Test2-Optimisation.auc.
The measured discharge timeseries are artificial in the way that they are produced prior to the calibration by running the model with a set of NAM parameters.
The setup for generation of the artificial measurements is included in the subfolder named Measurements.
Sensitivity Analysis, RR Parameters
Parameter Optimisation, RR Parameters
Scenario runs