| { | |
| "model_name": "FengWu-W2S", | |
| "model_type": "fengwu_w2s", | |
| "architectures": [ | |
| "FengWuW2S" | |
| ], | |
| "framework": "PyTorch", | |
| "domain": "coupled-atmosphere-ocean-land", | |
| "task": "seamless-weather-to-subseasonal-forecasting", | |
| "implementation": { | |
| "entry_point": "model/fengwu_w2s.py", | |
| "scope": "compact coupled weather, ocean, and land model with stochastic perturbations for autoregressive rollout" | |
| }, | |
| "architecture": { | |
| "family": "coupled branch encoders with latent fusion and perturbation module", | |
| "input_steps": 2, | |
| "rollout_steps": 2, | |
| "inference_steps": 4, | |
| "input_channels": 78, | |
| "atmosphere_channels": 65, | |
| "ocean_channels": 4, | |
| "land_channels": 9, | |
| "hidden_channels": 32, | |
| "latent_channels": 64, | |
| "patch_size": 4, | |
| "blocks": 2, | |
| "perturbation_scale": 0.01 | |
| }, | |
| "data": { | |
| "dataset": "ERA5 with coupled ocean and land fields", | |
| "spatial_resolution_degrees": 0.25, | |
| "time_step_hours": 6, | |
| "protocol": "78-channel weather-to-subseasonal contract" | |
| }, | |
| "configuration_sources": [ | |
| "conf/config.yaml", | |
| "model/fengwu_w2s.py", | |
| "scripts/data_loader.py", | |
| "scripts/train.py" | |
| ] | |
| } | |