09:00 - 13:00
S1: Highly parameterized inversion
• Why do we need regularisation
• Subspace regularisation – singular value decomposition
• Tikhonov regularization
• Measurement and regularization objective functions
• Pilot points as a spatial parameterization device
• Optimal pilot point emplacement
• Pilot points and geostatistical regularization
• Covariance matrices as a regularization device
• Saving model runs with SVD-Assist
• Parameter identifiability
• The resolution matrix
S2: Calibration of groundwater models – some practicalities
• Steps to ensuring good finite-difference derivatives
• Detecting problematical finite-difference derivatives
• PEST groundwater utilities
• The PLPROC utility
• Defense against model defects
• Incorporating temporal and spatial differences into the objective function