| { |
| "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" |
| ] |
| } |
|
|
