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swmm-calibration

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 reported, or (6) run a DREAM-ZS Bayesian calibration producing a posterior over parameters with Gelman-Rubin convergence checks. Dedicated sensitivity-analysis methods (OAT, Morris, Sobol') now live on the `swmm-uncertainty` skill.

skills/swmm-calibration/SKILL.md

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# SWMM Calibration / Validation

Part of [Agentic SWMM](https://github.com/Zhonghao1995/agentic-swmm-workflow) — install the project first for the executable toolchain (aiswmm CLI, SWMM solver, MCP servers).


## CLI verb: aiswmm calibrate (real engine)

Since ADR-0005 the top-level verb drives this skill's SCE-UA engine directly:

```
aiswmm calibrate --inp model.inp --observed-csv observed.csv \
  --patch-map examples/calibration/patch_map.json \
  --run-id calib_001 --total-iters 200 \
  --param pct_imperv_s1=20,70 --run-dir runs/agent/calib_001 --progress