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"format_version": "aiweather_station_patch_v2",
"model": "IMPROVER-AIFS",
"model_type": "statistical-weather-postprocessing",
"architectures": ["ImproverAIFS"],
"framework": "PyTorch",
"domain": "atmosphere",
"task": "deterministic-to-probabilistic-weather-postprocessing",
"implementation": {
"entry_point": "model/improver_aifs.py",
"train_script": "scripts/train.py",
"inference_script": "scripts/inference.py",
"evaluation_script": "scripts/result.py",
"synthetic_data_script": "scripts/fake_data.py"
},
"paper": {"arxiv": "2504.12672", "doi": "10.1175/AIES-D-25-0037.1", "method": "Bureau of Meteorology IMPROVER applied to ECMWF deterministic AIFS"},
"scientific_dimensions": {
"forecast_dates": ["2024-03-01", "2024-07-23"],
"conceptual_date_range": ["2024-03-01", "2024-07-23"],
"initialization_utc": "1200",
"history_days": 30,
"lead_hours": [0, 240, 1],
"stations": 569,
"sources": ["AIFS", "HRES", "ENS"],
"variables": ["temperature", "dewpoint", "10 m wind speed"],
"threshold_counts": [61, 47, 49],
"probability_bins": 7,
"valid_time_folds": 2,
"blend_knots": 11,
"station_neighborhood": [3, 3]
},
"target_grid_adapter": {"projection": "Albers", "nx": null, "ny": null, "status": "not_public_do_not_infer"}
}
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