Claude Skills · Coding

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 o...

★ 25 Synced 2 hours ago View SKILL.md

At a glance

Coding Manual install Python Actively maintained

This skill is for Coding and helps you calibrate swmm model parameters, validate swmm simulation outputs, and compare observed vs simulated flow data.

Install git clone --depth 1 https://github.com/Zhonghao1995/agentic-swmm-workflow cp -r agentic-swmm-workflow/skills/swmm-calibration ~/.claude/skills/swmm-calibration
Can use Not declared by the author

Setup, runtime and requirements describe Zhonghao1995/agentic-swmm-workflow, the repo this skill ships in.

SwmmHydrologic ModelingParameter OptimizationEpaBayesian CalibrationKge

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View the repo
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