{
  "model_name": "FengWu",
  "model_type": "fengwu",
  "architectures": [
    "Fengwu"
  ],
  "framework": "PyTorch",
  "domain": "atmosphere",
  "task": "global-medium-range-weather-forecasting",
  "implementation": {
    "entry_point": "model/fengwu.py",
    "scope": "repository multi-modal encoder-fuser-decoder implementation"
  },
  "architecture": {
    "family": "multi-branch hierarchical transformer",
    "input_grid_shape": [
      721,
      1440
    ],
    "patch_size": [
      4,
      4
    ],
    "embedding_size": 192,
    "stage_attention_heads": [
      6,
      12,
      12,
      6
    ],
    "fuser_window_size": [
      2,
      6,
      12
    ],
    "variable_branches": [
      "surface",
      "geopotential",
      "relative_humidity",
      "temperature",
      "u_component_of_wind",
      "v_component_of_wind"
    ],
    "input_channels": 189,
    "output_channels": 189
  },
  "data": {
    "dataset": "ERA5",
    "spatial_resolution_degrees": 0.25,
    "time_step_hours": 6,
    "pressure_levels_hpa": [
      1,
      2,
      3,
      5,
      7,
      10,
      20,
      30,
      50,
      70,
      100,
      125,
      150,
      175,
      200,
      225,
      250,
      300,
      350,
      400,
      450,
      500,
      550,
      600,
      650,
      700,
      750,
      775,
      800,
      825,
      850,
      875,
      900,
      925,
      950,
      975,
      1000
    ],
    "pressure_level_variable_count": 5,
    "surface_variable_count": 4
  },
  "configuration_sources": [
    "conf/config.yaml",
    "model/fengwu.py"
  ]
}