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