OneScience-Group/NNCAM

1{2  "model_name": "NNCAM",3  "model_type": "nncam",4  "architectures": ["NNCAM"],5  "framework": "PyTorch",6  "domain": "atmospheric-physics",7  "task": "climate-model-subgrid-parameterization",8  "implementation": {9    "entry_point": "model/nncam.py",10    "scope": "core-method and full-column 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", 94],18    "output_shape": ["B", 65],19    "engineering_depth": 4,20    "engineering_width": 32,21    "paper_depth": 9,22    "paper_width": 256,23    "activation": "LeakyReLU"24  },25  "data": {26    "dataset": "SPCAM aquaplanet simulation",27    "format_version": "1.0",28    "vertical_levels": 30,29    "input_variables": ["T", "Q", "V", "Ps", "Sin", "H", "E"],30    "output_variables": ["dT", "dQ", "SWtoa", "SWsfc", "LWtoa", "LWsfc", "P"],31    "input_layout": "NF",32    "synthetic": true33  },34  "configuration_sources": [35    "conf/config.yaml",36    "model/nncam.py",37    "scripts/fake_data.py",38    "scripts/train.py",39    "scripts/inference.py",40    "scripts/result.py"41  ]42}43