{
  "model_name": "CRAI-ClimateExtremes",
  "model_type": "crai_climateextremes",
  "architectures": ["CRAIClimateExtremes"],
  "framework": "PyTorch",
  "domain": "earth-science",
  "task": "climate-extreme-index-reconstruction",
  "implementation": {
    "entry_point": "model/crai_climateextremes.py",
    "scope": "core-method and full-grid reduced-sample 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, 144, 192],
    "output_shape": ["B", 1, 144, 192],
    "core": "partial-convolution U-Net with mask propagation and skip connections",
    "output_range_percent": [0, 100]
  },
  "data": {
    "dataset": "HadEX-CAM and CMIP6-derived extreme indices",
    "format_version": "1.0",
    "resolution_degrees": [1.25, 1.875],
    "indices": ["TX90p", "TN90p", "TX10p", "TN10p"],
    "input_layout": "BCHW",
    "synthetic": true
  },
  "configuration_sources": [
    "conf/config.yaml",
    "model/crai_climateextremes.py",
    "scripts/fake_data.py",
    "scripts/train.py",
    "scripts/inference.py",
    "scripts/result.py"
  ]
}