{
  "model_name": "Aardvark Weather",
  "model_type": "aardvark-weather",
  "architectures": [
    "ConvCNPWeatherE2E"
  ],
  "framework": "PyTorch",
  "domain": "atmosphere",
  "task": "end-to-end-multimodal-weather-forecasting",
  "implementation": {
    "entry_point": "model/aardvark_adapter.py",
    "scope": "official encoder, one-day forecast processor, and station-temperature decoder"
  },
  "architecture": {
    "stages": [
      "observation_encoder",
      "global_forecast_processor",
      "station_decoder"
    ],
    "encoder_input_channels": 277,
    "encoder_output_channels": 24,
    "processor_input_channels": 35,
    "processor_output_channels": 24,
    "tas_decoder_input_channels": 36,
    "tas_decoder_output_channels": 1
  },
  "forecasting": {
    "lead_time_days": 1,
    "global_grid_shape": [
      121,
      240
    ],
    "global_grid_resolution_degrees": 1.5,
    "global_state_channels": 24,
    "station_variable": "2m_temperature",
    "station_count": 8719
  },
  "configuration_sources": [
    "README.md",
    "official-src/aardvark/e2e_model.py",
    "weights/trained_model/encoder/config.pkl",
    "weights/trained_model/processor/config.pkl",
    "weights/trained_model/decoder/tas/config.pkl"
  ]
}