What problem does it solve? Running MODFLOW groundwater simulations requires operational expertise scattered across documentation and practice: consistent unit handling, correct package assembly, convergence troubleshooting, and binary output parsing. This Skill packages that expertise so an agent can construct, execute, validate, and debug FloPy/MODFLOW groundwater models without silent unit or indexing errors. ## Core Features & Use Cases - End-to-end modeling pipeline: Seven staged procedures covering DEM-to-grid construction, soil-to-aquifer property conversion, forcing/boundary preparation, model assembly, execution, output analysis, and calibration, backed by 5 validated command-line tools. - Diagnostic recovery system: 21 symptom-diagnosis-remedy triplets covering known failure modes such as unit mismatches (mm/day vs m/day recharge), zero-based indexing errors, binary precision mismatches, and convergence failures. - Validation against published standards: Hydraulic head output is judged against cited RMSE bands (marker2015), with a machine-readable dag.yaml defining every output's units, rank, and observability. - Use Case: Ask the agent to build a steady-state MODFLOW 6 model from a DEM and recharge data; it runs preflight checks, converts inputs to consistent units, executes the real mf6 binary, and parses heads and water budgets into CSV and plots. ## Quick Start Run python preflight_check.py in this directory, then ask the agent to build and run a MODFLOW 6 groundwater model from your DEM and forcing data.
