Calibration and validation scaffold for EPA SWMM. Use when an agent needs to (1) compare simulated vs observed flow, (2) evaluate candidate parameter sets, (3) rank explicit candidates by an objective, (4) run a bounded random / LHS / adaptive search for the best-fitting parameters, (5) run a publication-grade SCE-UA calibration with KGE as the primary objective and (r, alpha, beta) decomposition
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SWMM Calibration / Validation (MVP scaffold)
What this skill provides
A practical calibration scaffold around the existing SWMM runner workflow.
A strict calibration boundary: calibration and validation require observed data. Without observed flow, depth, soil-moisture, or volume data, use swmm-uncertainty for prior uncertainty propagation instead of calling the run calibrated.
Observed-flow ingestion from delimited text files (.csv, .tsv, .dat, whitespace-separated text).
[Description truncada. Veja o README completo no GitHub.]
