| { |
| "model_name": "WoFS-StormCal", |
| "model_type": "wofsstormcal", |
| "architectures": ["WoFSStormCal"], |
| "framework": "PyTorch", |
| "domain": "meteorology", |
| "task": "storm-object-multilabel-severe-hazard-probability", |
| "license": "Apache-2.0", |
| "implementation": { |
| "entry_point": "model/wofsstormcal.py", |
| "train_script": "scripts/train.py", |
| "inference_script": "scripts/inference.py", |
| "evaluation_script": "scripts/result.py", |
| "synthetic_data_script": "scripts/fake_data.py" |
| }, |
| "architecture": { |
| "family": "elastic-net logistic regression with isotonic calibration", |
| "input_shape": ["N", 113], |
| "output_shape": ["N", 3], |
| "feature_groups": {"amplitude": 30, "spatial": 76, "object_property": 7}, |
| "hazards": ["tornado", "hail", "wind"], |
| "lead_groups": ["first_hour", "second_hour"] |
| }, |
| "paper_model": { |
| "families": ["random_forest", "xgboost", "elastic_net_logistic_regression"], |
| "probability_calibration": "isotonic regression", |
| "cross_validation_folds": 5 |
| }, |
| "forecast_metadata": { |
| "ensemble_members": 18, |
| "grid_spacing_km": 3, |
| "forecast_window_minutes": 30, |
| "forecast_interval_minutes": 5, |
| "first_hour_start_minutes": [0, 60], |
| "second_hour_start_minutes": [65, 120] |
| }, |
| "data": {"protocol": "wofs_storm_object_113_v1", "format": "NPZ"}, |
| "configuration_sources": [ |
| "conf/config.yaml", |
| "model/wofsstormcal.py", |
| "scripts/fake_data.py", |
| "scripts/train.py", |
| "scripts/inference.py", |
| "scripts/result.py" |
| ] |
| } |
|
|
