| { |
| "model_name": "Spherical_DYffusion", |
| "model_type": "spherical_dyffusion", |
| "architectures": [ |
| "SphericalDYffusion" |
| ], |
| "framework": "PyTorch", |
| "domain": "climate-and-atmosphere", |
| "task": "global-grid-climate-emulation", |
| "implementation": { |
| "entry_point": "model/spherical_dyffusion.py", |
| "scope": "Compact local convolutional forecaster preserving the Spherical DYffusion project tensor contract; it is a smoke-test implementation, not the full SFNO/DYffusion paper architecture" |
| }, |
| "architecture": { |
| "family": "three-layer Conv2d forecaster with GELU activations", |
| "input_format": "BCHW", |
| "output_format": "BCHW", |
| "input_grid_shape": [ |
| 180, |
| 360 |
| ], |
| "resolution_degrees": 1.0, |
| "channels": 37, |
| "hidden_channels": 32, |
| "layers": [ |
| "Conv2d(37,32,kernel_size=3,padding=1)", |
| "GELU", |
| "Conv2d(32,32,kernel_size=3,padding=1)", |
| "GELU", |
| "Conv2d(32,37,kernel_size=1)" |
| ], |
| "stochasticity": "none in the current local model; the training target is a deterministic synthetic local-dynamics rule" |
| }, |
| "data": { |
| "dataset_protocol": "FV3GFS", |
| "variables": [ |
| "PRESsfc", |
| "surface_temperature", |
| "air_temperature_0", |
| "air_temperature_1", |
| "air_temperature_2", |
| "air_temperature_3", |
| "air_temperature_4", |
| "air_temperature_5", |
| "air_temperature_6", |
| "air_temperature_7", |
| "specific_total_water_0", |
| "specific_total_water_1", |
| "specific_total_water_2", |
| "specific_total_water_3", |
| "specific_total_water_4", |
| "specific_total_water_5", |
| "specific_total_water_6", |
| "specific_total_water_7", |
| "eastward_wind_0", |
| "eastward_wind_1", |
| "eastward_wind_2", |
| "eastward_wind_3", |
| "eastward_wind_4", |
| "eastward_wind_5", |
| "eastward_wind_6", |
| "eastward_wind_7", |
| "northward_wind_0", |
| "northward_wind_1", |
| "northward_wind_2", |
| "northward_wind_3", |
| "northward_wind_4", |
| "northward_wind_5", |
| "northward_wind_6", |
| "northward_wind_7", |
| "DSWRFtoa", |
| "HGTsfc", |
| "ocean_fraction" |
| ], |
| "synthetic_time_steps": 8, |
| "input_steps": 1, |
| "samples": 16, |
| "data_note": "Synthetic FV3GFS-equivalent data is for protocol and pipeline checks only and is not a paper-reproduction dataset." |
| }, |
| "configuration_sources": [ |
| "conf/config.yaml", |
| "model/spherical_dyffusion.py", |
| "scripts/local_pipeline.py", |
| "scripts/fake_data.py", |
| "README.md" |
| ] |
| } |
|
|
