What problem does it solve? Configuring and running the SHAW (Simultaneous Heat and Water) Fortran model correctly requires deep knowledge of its free-format input files, unit conventions, and freeze-thaw parameterization; this Skill packages that operational expertise so an agent can prepare inputs, execute the real binary, validate outputs, and recover from known failures without substituting approximations. ## Core Features & Use Cases - Seven-stage pipeline: site file generation from HWSD soil data, weather conversion from CMFD/MSWX/NASA POWER, plant canopy and snow/residue configuration, initial condition setup, execution, output parsing, and VIC coupling via 13 documented tools. - Diagnostic recovery: 33 symptom-diagnosis-remedy triplets covering known failure modes such as MTSTEP mismatches, solar radiation unit errors, and the BPAR=30 freeze-thaw trap. - Validated outputs: soil temperature profiles (headline variable), liquid/total water content, frost and snow depth, and energy balance, graded against cited NSE/RMSE conventions with benchmark results from Canadian boreal and prairie sites. - Use Case: Simulate one year of hourly soil temperature and frost depth at a boreal forest flux tower site, then validate the modeled profiles against observed soil temperature sensors at six depths. ## Quick Start Run python preflight_check.py in this KI directory to verify the SHAW binary, Python environment, and required data before starting any simulation.
