{
  "model_name": "AtmoRep",
  "model_type": "atmorep",
  "architectures": [
    "TinyAtmoRep"
  ],
  "framework": "PyTorch",
  "domain": "atmosphere",
  "task": "masked-atmospheric-representation-learning",
  "implementation": {
    "entry_point": "model/tiny_atmorep.py",
    "scope": "single-field compact validation model; official vorticity resources are retained separately"
  },
  "architecture": {
    "family": "masked-token transformer",
    "input_shape": [
      4,
      1,
      8,
      8
    ],
    "input_shape_order": [
      "time",
      "variable",
      "latitude",
      "longitude"
    ],
    "patch_shape": [
      1,
      4,
      4
    ],
    "embedding_size": 32,
    "encoder_layers": 2,
    "attention_heads": 4,
    "supported_fields": 1
  },
  "official_resource": {
    "field": "vorticity",
    "model_levels": [
      96,
      105,
      114,
      123,
      137
    ],
    "global_grid_shape": [
      721,
      1440
    ],
    "spatial_resolution_degrees": 0.25,
    "encoder_layers": 10,
    "encoder_attention_heads": 16,
    "decoder_layers": 10,
    "decoder_attention_heads": 16
  },
  "configuration_sources": [
    "model/tiny_atmorep.py",
    "resources/id4nvwbetz/model_id4nvwbetz.json",
    "README.md"
  ]
}