cxcscmu/skilllearnbench/glm-calibrator

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Calibrate GLM by adjusting key parameters to minimize RMSE. Use this skill when you need to iteratively tune model parameters to meet performance thresholds.

Install

npx vskill@latest install cxcscmu/skilllearnbench/glm-calibrator

SKILL.md

GLM Calibrator Skill

Calibration Strategy

  1. Baseline Run: Start with the original glm3.nml parameters.
  2. Sensitivity Analysis: Understand how Kw, coef_mix_hyp, wind_factor, lw_factor, and ch affect simulation results (e.g., Kw affects deep temperatures).
  3. Iteration Loop:
  • Adjust one or more parameters within the allowed ranges.
  • Run the simulation using glm-runner.
  • Evaluate performance using glm-evaluator.
  • Repeat until all three RMSE checks are satisfied:
  • overall_rmse < 1.60
  • annual_deep_rmse < 1.55
  • summer_deep_rmse < 1.70
  1. Parameter Ranges:
  • Kw: [0.1, 0.5]
  • coef_mix_hyp: [0.3, 0.7]
  • wind_factor: [0.7, 1.3]
  • lw_factor: [0.7, 1.3]
  • ch: [0.0005, 0.002]

Key Calibration Targets

  • Kw: Light extinction coefficient (higher Kw leads to cooler deep waters).
  • wind_factor: Scaling factor for wind speed (affects surface mixing).
  • coef_mix_hyp: Scaling factor for hypolimnetic mixing.
  • lw_factor: Scaling factor for longwave radiation.
  • ch: Bulk transfer coefficient for sensible heat.

Security

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  • Model reviewPassed

Quality evaluation

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Source

Popularity

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