Documentation

mf6adj is a Python package for adjoint sensitivity analysis with MODFLOW 6.

Contents:

• Installing mf6adj
  • Install from PyPI
  • Install from conda-forge
  • Install from GitHub
  • Developer install from a local clone
• Using mf6adj
  • Locating MODFLOW 6
  • Defining performance measures
  • Solving the forward model and adjoint
  • Reading the sensitivity results
  • Complete minimal example
• Example Notebooks
  • mf6adj demonstration using the synthetic dewatering example
  • mf6adj demonstration using the San Pedro model
  • mf6adj demonstration using the structured Freyberg model
  • mf6adj demonstration using a simple box model
  • mf6adj demonstration using the Zaidel water table problem
• API reference
  • mf6adj classes and helper functions