{
  "model_name": "AI2 Climate Emulator (ACE)",
  "model_type": "ace",
  "architectures": [
    "ACEModel"
  ],
  "framework": "PyTorch",
  "domain": "atmosphere-and-climate",
  "task": "global-climate-emulation",
  "implementation": {
    "entry_point": "model/ace.py",
    "scope": "40-channel to 44-channel SFNO emulator with autoregressive rollout"
  },
  "architecture": {
    "family": "spherical Fourier neural operator",
    "grid": "Legendre-Gauss",
    "grid_shape": [
      180,
      360
    ],
    "input_channels": 40,
    "output_channels": 44,
    "prognostic_channels": 34,
    "forcing_channels": 6,
    "embedding_size": 256,
    "layers": 8,
    "filter_type": "linear",
    "operator_type": "dhconv",
    "spectral_layers": 3,
    "mlp_ratio": 2.0
  },
  "data": {
    "dataset": "FV3GFS",
    "time_step_hours": 6,
    "training_members": 10,
    "validation_members": 1,
    "protocol": "fv3gfs_40_to_44"
  },
  "configuration_sources": [
    "conf/config.yaml",
    "model/ace.py",
    "model/sfno.py",
    "model/variables.py"
  ]
}