| { |
| "model_name": "GraphCast", |
| "model_type": "graphcast", |
| "architectures": [ |
| "GraphCastNet" |
| ], |
| "framework": "PyTorch", |
| "domain": "atmosphere", |
| "task": "global-weather-forecasting", |
| "implementation": { |
| "entry_point": "model/graph_cast_net.py", |
| "scope": "repository mesh message-passing implementation" |
| }, |
| "architecture": { |
| "family": "multimesh graph neural network", |
| "input_grid_shape": [ |
| 721, |
| 1440 |
| ], |
| "mesh_refinement_level": 6, |
| "multimesh": true, |
| "grid_node_input_size": 237, |
| "grid_node_output_size": 227, |
| "hidden_size": 512, |
| "processor_layers": 16, |
| "processor_type": "MessagePassing", |
| "aggregation": "sum", |
| "activation": "silu", |
| "normalization": "LayerNorm" |
| }, |
| "data": { |
| "dataset": "ERA5", |
| "spatial_resolution_degrees": 0.25, |
| "time_step_hours": 6, |
| "climate_channels": 227, |
| "static_channels": 5, |
| "pressure_levels_hpa": [ |
| 1, |
| 2, |
| 3, |
| 5, |
| 7, |
| 10, |
| 20, |
| 30, |
| 50, |
| 70, |
| 100, |
| 125, |
| 150, |
| 175, |
| 200, |
| 225, |
| 250, |
| 300, |
| 350, |
| 400, |
| 450, |
| 500, |
| 550, |
| 600, |
| 650, |
| 700, |
| 750, |
| 775, |
| 800, |
| 825, |
| 850, |
| 875, |
| 900, |
| 925, |
| 950, |
| 975, |
| 1000 |
| ], |
| "pressure_level_variables": [ |
| "geopotential", |
| "relative_humidity", |
| "temperature", |
| "u_component_of_wind", |
| "v_component_of_wind", |
| "vertical_wind_speed" |
| ] |
| }, |
| "configuration_sources": [ |
| "conf/config.yaml", |
| "model/graph_cast_net.py" |
| ] |
| } |
|
|
