config.json

{
  "model_name": "UnetDif",
  "model_type": "unetdif",
  "architectures": ["UnetDif"],
  "framework": "PyTorch",
  "domain": "atmosphere",
  "task": "ECMWF precipitation bias correction",
  "license": "cc-by-nc-nd-4.0",
  "implementation": {
    "entry_point": "model/unetdif.py",
    "train_script": "scripts/train.py",
    "inference_script": "scripts/inference.py",
    "evaluation_script": "scripts/result.py",
    "synthetic_data_script": "scripts/fake_data.py"
  },
  "architecture": {"input_channels": 39, "output_heads": 4, "base_channels": 8, "depth": 3, "paper_base_channels": null, "paper_depth": null},
  "data": {"region": "YRD", "resolution_degrees": 0.125, "shape": ["rain_day", 8, 39, 56, 56], "lead_hours": [15, 18, 21, 24, 27, 30, 33, 36]}
}