Individual skill

evo-glm-simulation

Run the General Lake Model (GLM v3) for Lake Mendota — edit glm3.nml, execute the GLM binary, parse NetCDF output (depth = z_surface - z_layer), match to field observations, compute RMSE, and iteratively calibrate Kw, sw_factor, wind_factor, coef_mix_hyp to achieve RMSE < 2°C.

tasks-evolved/glm-lake-mendota/environment/skills/evo-glm-simulation/SKILL.md

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Sep 10, 2026
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# evo-glm-simulation

End-to-end workflow for running and calibrating GLM for Lake Mendota.

## Directory contract
- `/root/glm3.nml` — namelist (working dir is `/root/`)
- `/root/bcs/*.csv` — meteo, inflow (yahara, pheasant), outflow
- `/root/field_temp_oxy.csv` — field obs (columns: datetime, depth, temp, OXY_oxy)
- `/root/output/output.nc` — required output

## Usage

```python
import sys