Model Calibration
Calibration is the process of modifying the input parameters to a groundwater model until the output from the model matches an observed set of data. GMS includes a suite of tools to assist in the process of calibrating a groundwater model to point and/or flux observations. When a computed solution is imported to GMS, the point and flux residual errors are plotted on a set of calibration targets and a variety of plots can be generated showing overall calibration statistics. Most of the calibration tools can be used with any of the models in GMS.
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Automated parameter estimation is supported in GMS for MODFLOW simulations using PEST. This is sometimes called an "inverse model". The basic process for inverse modeling is:
- Build a base model with MODFLOW
- Input observed data (point or flux data)
- Indicate the model input parameters that the inverse model can adjust to make the model match the observations.
- Let the inverse model run - it will adjust input parameters and run the MODFLOW simulation repeatedly until the best match betweeen computed data and observed data is obtained.
For more detailed information on the Model Calibration in GMS visit the following links:
http://www.xmswiki.com/xms/GMS:Model_Calibrationhttp://www.xmswiki.com/xms/GMS:Automated_Parameter_Estimation
http://www.xmswiki.com/xms/GMS:Pilot_Points
http://www.xmswiki.com/xms/GMS:Parameter_Dialog