Calibration is the process
of adjusting parameter values until the model simulation matches field observations.
Why Calibrate?
What types of parameters are estimated and what types
of observations are used?
How do you evaluate the quality of the calibration?
What concerns should I keep in mind
when evaluating the data for calibration of a steady state model?
What causes residuals?
What are some examples of issues arise when
calibrating models?
What is automated calibration?
Return to the main page and proceed to the exercises.