{
 "adapter": "nlkg_coarse_u",
 "field_kind": "signed",
 "quantile": 0.9999,
 "clip_c": 0.5955045945108044,
 "range": [
  -0.5955045945108044,
  0.5955045945108044
 ],
 "n_train_states": 1600,
 "field_shape": [
  128,
  128
 ],
 "pixel_stride": 1,
 "n_pixel_values": 26214400,
 "map": "uint8 = rint((clip(w,-c,c)+c)/(2c)*255)",
 "channels": "3 identical (grayscale scalar field), no colormap",
 "source": {
  "packaged_dataset_path": "<dataset>",
  "block": "vecs_train",
  "ics": "canonical rows 0..79",
  "members": "j < 20",
  "snapshots": [
   40
  ],
  "pixel_stride": 1,
  "n_states": 1600,
  "rule": "training data only; validation, test and generated data never enter"
 },
 "state": "392-D coarse state (196-D u + 196-D v/4, house coarse operator |k| <= 8 on each); the image reads ONLY the first component u -- identical reconstruction to euler_coarse_vorticity",
 "reconstruction": "exact inverse FFT of the |k| <= 8 modes on a 128x128 grid (alias-free)",
 "n_disp": 128,
 "k_c": 8,
 "clip": "symmetric [-c, c], c = Q_q(|u_coarse|) over the training pool's final-time fields",
 "physical_diagnostic": "coarse_u_variance_ratio, gradient_energy_ratio (on u), coarse_v_variance_ratio (on v/4)"
}