AURORA / config.json
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{
"model_name": "AURORA",
"model_type": "aurora",
"architectures": [
"Aurora"
],
"framework": "PyTorch",
"domain": "atmosphere",
"task": "earth-system-forecasting",
"implementation": {
"entry_point": "model/aurora.py",
"scope": "OneScience adapter over the official Microsoft Aurora implementation, with base (1.3B) and small variants and official checkpoint compatibility"
},
"architecture": {
"family": "3D Perceiver encoder, 3D Swin Transformer processor, and 3D Perceiver decoder",
"input_grid_shape": [
721,
1440
],
"patch_size": 4,
"window_size": [
2,
6,
12
],
"latent_levels": 4,
"max_history_size": 2,
"mlp_ratio": 4.0,
"input_channels": 69,
"output_channels": 69,
"static_variables": [
"lsm",
"z",
"slt"
],
"variants": {
"base": {
"parameters_billion": 1.3,
"embed_dim": 512,
"encoder_depths": [
6,
10,
8
],
"encoder_num_heads": [
8,
16,
32
],
"decoder_depths": [
8,
10,
6
],
"decoder_num_heads": [
32,
16,
8
],
"aggregation_num_heads": 16
},
"small": {
"purpose": "smoke test",
"embed_dim": 256,
"encoder_depths": [
2,
6,
2
],
"encoder_num_heads": [
4,
8,
16
],
"decoder_depths": [
2,
6,
2
],
"decoder_num_heads": [
16,
8,
4
],
"aggregation_num_heads": 8
}
}
},
"data": {
"dataset": "ERA5",
"spatial_resolution_degrees": 0.25,
"time_step_hours": 6,
"input_steps": 2,
"output_steps": 1,
"surface_variables": [
"2m_temperature",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"mean_sea_level_pressure"
],
"atmospheric_variables": [
"geopotential",
"u_component_of_wind",
"v_component_of_wind",
"temperature",
"specific_humidity"
],
"pressure_levels_hpa": [
50,
100,
150,
200,
250,
300,
400,
500,
600,
700,
850,
925,
1000
]
},
"configuration_sources": [
"conf/config.yaml",
"model/aurora.py",
"model/aurora_network.py"
]
}