OneScience-Group/CRAI-ClimateExtremes
027
1{2 "model_name": "CRAI-ClimateExtremes",3 "model_type": "crai_climateextremes",4 "architectures": ["CRAIClimateExtremes"],5 "framework": "PyTorch",6 "domain": "earth-science",7 "task": "climate-extreme-index-reconstruction",8 "implementation": {9 "entry_point": "model/crai_climateextremes.py",10 "scope": "core-method and full-grid reduced-sample engineering reproduction",11 "train_script": "scripts/train.py",12 "inference_script": "scripts/inference.py",13 "evaluation_script": "scripts/result.py",14 "synthetic_data_script": "scripts/fake_data.py"15 },16 "architecture": {17 "input_shape": ["B", 2, 144, 192],18 "output_shape": ["B", 1, 144, 192],19 "core": "partial-convolution U-Net with mask propagation and skip connections",20 "output_range_percent": [0, 100]21 },22 "data": {23 "dataset": "HadEX-CAM and CMIP6-derived extreme indices",24 "format_version": "1.0",25 "resolution_degrees": [1.25, 1.875],26 "indices": ["TX90p", "TN90p", "TX10p", "TN10p"],27 "input_layout": "BCHW",28 "synthetic": true29 },30 "configuration_sources": [31 "conf/config.yaml",32 "model/crai_climateextremes.py",33 "scripts/fake_data.py",34 "scripts/train.py",35 "scripts/inference.py",36 "scripts/result.py"37 ]38}39 