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eca4864 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | {
"model_name": "FourCastNet v2",
"model_type": "fourcastnet_v2",
"architectures": [
"FourCastNetV2"
],
"framework": "PyTorch",
"domain": "atmosphere",
"task": "global-weather-forecasting",
"implementation": {
"entry_point": "model/fourcastnet_v2.py",
"scope": "adapter for the bundled NVIDIA FourCastNet v2 SFNO network"
},
"architecture": {
"family": "spherical Fourier neural operator",
"grid_shape": [
721,
1440
],
"input_channels": 73,
"output_channels": 73,
"spectral_transform": "sht",
"filter_type": "non-linear",
"scale_factor": 6,
"embedding_size": 256,
"layers": 12,
"blocks_per_layer": 8,
"normalization": "instance_norm",
"mlp_mode": "distributed",
"spectral_layers": 3,
"complex_activation": "real",
"hard_thresholding_fraction": 1.0
},
"data": {
"dataset": "ERA5",
"spatial_resolution_degrees": 0.25,
"time_step_hours": 6,
"input_steps": 1,
"output_steps": 1,
"protocol": "synthetic_era5"
},
"configuration_sources": [
"conf/config.yaml",
"model/fourcastnet_v2.py",
"model/fcnv2"
]
}
|