What problem does it solve? Setting up and running CE-QUAL-W2, the USACE 2D laterally-averaged reservoir model, requires labor-intensive bathymetry digitization, fixed-width Fortran input files, and unit conversions where silent errors (like cloud cover in the wrong scale) corrupt results without any warning. This Skill encodes that operational expertise into validated tools and diagnostic triplets so an agent can run real simulations reliably. ## Core Features & Use Cases - 14-stage pipeline: 16 Python tools covering bathymetry grid generation, branch topology, meteorological and inflow forcing conversion, outflow configuration, control file assembly, execution, output parsing, calibration, and CaMa-Flood coupling. - 25 diagnostic triplets: Symptom-to-remedy mappings for known failure modes, including 14 silent errors such as cloud cover in tenths (0-10), dewpoint conversion from vapor pressure, and 8-character fixed-width control file fields. - Use Case: Model thermal stratification and selective withdrawal in an elongated reservoir like Danjiangkou (80 km long, two branches) where a 1D lake model cannot resolve longitudinal gradients, then route dam releases downstream into CaMa-Flood. ## Quick Start Ask the agent to run the preflight check and then build an idealized CE-QUAL-W2 reservoir grid, convert forcing data, generate the control file, and execute the w2 binary for your chosen reservoir and period.