{
  "model_name": "OneForecast",
  "model_type": "oneforecast",
  "architectures": [
    "OneForecast"
  ],
  "framework": "PyTorch",
  "domain": "atmosphere",
  "task": "global-regional-weather-forecasting",
  "implementation": {
    "entry_point": "model/oneforecast.py",
    "scope": "portable encoder-processor-decoder mesh graph neural network with PyTorch index-tensor graph kernels usable on CPU, CUDA, and DCU; official checkpoint compatible"
  },
  "architecture": {
    "family": "encoder-processor-decoder graph neural network on a refined icosahedral mesh",
    "input_grid_shape": [
      120,
      240
    ],
    "grid_sampling": "ERA5 0.25-degree 721x1440 sampled every sixth point, then cropped to 120x240",
    "input_channels": 69,
    "output_channels": 69,
    "mesh_level": 5,
    "mesh_local_refinement_regions": [
      {
        "description": "South and East Asia",
        "lat_range": [
          0.0,
          30.0
        ],
        "lon_range": [
          105.0,
          160.0
        ]
      },
      {
        "description": "Central North America",
        "lat_range": [
          10.0,
          30.0
        ],
        "lon_range": [
          -95.0,
          -35.0
        ]
      }
    ],
    "hidden_dim": 512,
    "processor_layers": 16,
    "hidden_layers": 1,
    "num_heads_edge": 4,
    "num_heads_node": 4,
    "aggregation": "sum",
    "activation": "SiLU",
    "normalization": "LayerNorm"
  },
  "data": {
    "dataset": "ERA5",
    "grid_spatial_resolution_degrees": 1.5,
    "time_step_hours": 6,
    "input_steps": 1,
    "output_steps": 1,
    "surface_variables": [
      "10m_u_component_of_wind",
      "10m_v_component_of_wind",
      "2m_temperature",
      "mean_sea_level_pressure"
    ],
    "atmospheric_variables": [
      "geopotential",
      "specific_humidity",
      "temperature",
      "u_component_of_wind",
      "v_component_of_wind"
    ],
    "pressure_levels_hpa": [
      50,
      100,
      150,
      200,
      250,
      300,
      400,
      500,
      600,
      700,
      850,
      925,
      1000
    ]
  },
  "configuration_sources": [
    "conf/config.yaml",
    "model/oneforecast.py",
    "model/era5_adapter.py"
  ]
}