{
  "model_name": "GLONET",
  "model_type": "glonet",
  "architectures": [
    "GLONET"
  ],
  "framework": "PyTorch",
  "domain": "ocean",
  "task": "global-ocean-forecasting",
  "implementation": {
    "entry_point": "model/glonet.py",
    "scope": "two-branch FNO/CNN reference implementation"
  },
  "architecture": {
    "family": "Fourier neural operator with convolutional branch",
    "grid_shape": [
      16,
      32
    ],
    "input_steps": 2,
    "input_channels_per_step": 34,
    "input_channels": 68,
    "output_channels": 34,
    "hidden_channels": 32,
    "spectral_modes": [
      6,
      8
    ],
    "spectral_layers": 4,
    "activation": "GELU"
  },
  "data": {
    "dataset": "GLORYS12",
    "time_step_days": 1,
    "output_steps": 4,
    "protocol": "synthetic_glorys12_shape"
  },
  "configuration_sources": [
    "conf/config.yaml",
    "model/glonet.py",
    "scripts/data_loader.py"
  ]
}