Calibration is the process of changing the parameters or coefficients of a model or functions within a model so that it will produce outputs consistent with measured values of the process being modeled. In this webinar, you will see various techniques used to help calibrate your models. One of which uses GoldSim's built-in optimization functionality to automatically adjust model parameters to achieve the best calibration. We will also look at sensitivity analysis as a way to more efficiently calibrate a model.
Below is a video recording of the webinar presentation:
For additional tools that might help you with calibrating your model, please see the following examples in our library:
- Root Mean Square Error (RMSE)
- Model Calibration Using Optimization
- Gauss Newton Model Fitting
- Calibrate a Snowmelt Runoff Model
- Australian Water Balance Model (AWBM)
Download the presentation and model files:
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