glm-metrics

name	glm-metrics
description	How to calculate and save GLM performance metrics (RMSE) to metrics.json. Use this whenever the user asks for RMSE checks or final model evaluation.

GLM Performance Metrics

Metrics to Compute

Calculate the following metrics to evaluate the model performance:

1. overall_rmse: Total RMSE across all matched depth/time pairs.
2. annual_deep_rmse: RMSE for depths >= 13 m.
3. summer_deep_rmse: RMSE for months June-September, depths >= 13 m.
4. overall_n_pairs: Number of total matches.
5. annual_deep_n_pairs: Number of deep matches.
6. summer_deep_n_pairs: Number of summer deep matches.

Requirements

• Data: Match /root/field_temp_oxy.csv with simulation output /root/output/output.nc.
• Matching method: Exact datetime + rounded-depth merge.
• Do NOT use nearest-time matching, interpolation, or alternative binning.

Output

Save the metrics as a JSON file at /root/metrics.json with keys named exactly as above.