{
  "model_name": "PrecipitationSRCNN",
  "model_type": "precipitation_srcnn",
  "architectures": [
    "PrecipitationSRCNN"
  ],
  "framework": "PyTorch",
  "domain": "weather",
  "task": "daily precipitation statistical downscaling",
  "implementation": {
    "entry_point": "model/precipitationsrcnn.py",
    "scope": "Core-method and full-data-dimension reduced-scale end-to-end engineering reproduction",
    "train_script": "scripts/train.py",
    "inference_script": "scripts/inference.py",
    "evaluation_script": "scripts/result.py",
    "synthetic_data_script": "scripts/fake_data.py"
  },
  "architecture": {
    "input_shape": ["B", 2, 216, 488],
    "output_shape": ["B", 1, 216, 488],
    "paper_hidden_channels": [64, 32],
    "kernels": [9, 1, 5]
  },
  "data": {
    "format_version": "precipitation_srcnn_v1",
    "input_variables": ["precipitation", "elevation"],
    "target_variable": "daily precipitation",
    "target_grid": [216, 488],
    "unit": "mm/day"
  },
  "configuration_sources": [
    "conf/config.yaml",
    "model/precipitationsrcnn.py",
    "scripts/fake_data.py",
    "scripts/train.py",
    "scripts/inference.py",
    "scripts/result.py"
  ]
}