CRAI-ClimateExtremes / config.json
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{
"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"
]
}