GLM Setup and Configuration
SkillFiles & storageRunning the General Lake Model (GLM) and understanding its NML configuration file format.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the GLM Setup and Configuration skill
What this skill tells your AI
The instructions your AI receives, as published by cxcscmu/skilllearnbench in skills/b1-one-shot-claude-opus-4-6/temperature-simulation/glm-setup/SKILL.md and read by ahel’s review.
Running GLM
GLM is run from the directory containing glm3.nml:
cd /path/to/sim && glm
Key NML Sections
&glm_setup: Layer configuration&light: Light attenuation (Kw= light extinction coefficient)&mixing: Mixing parameters (coef_mix_hyp= hypolimnetic mixing)&meteorology: Met forcing adjustments (wind_factor,sw_factor,lw_factor,cd,ce,ch)&time: Simulation period (start,stop,dt)&output: Output directory and file naming&init_profiles: Initial temperature/salinity profiles&morphometry: Lake bathymetry&inflow/&outflow: Hydrological boundary conditions
Output
- NetCDF file at
<out_dir>/<out_fn>.nc - Contains variables:
temp(temperature),salt, etc. - Dimensions: time × depth (layers vary per timestep)
zvariable gives height above bottom; convert to depth = lake_depth - z
NML Editing
Fortran namelist format. Parameters are key = value pairs within §ion ... / blocks.
Signals
- GitHub stars
- 83
- Forks
- 5
- Last commit
- Jul 2026
Advanced
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glm-setup- Source
- github.com/cxcscmu/skilllearnbench