project:
  name: glonet_reference
  seed: 42
  result_dir: ./result/glonet

data:
  data_dir: ./data/
  channels:
    - temperature_0.49m
    - temperature_47m
    - temperature_92m
    - temperature_155m
    - salinity_222m
    - salinity_318m
    - salinity_380m
    - salinity_453m
    - salinity_541m
    - u_643m
    - u_763m
    - u_902m
    - u_1245m
    - u_1684m
    - u_2225m
    - u_3220m
    - u_3597m
    - u_3992m
    - u_4405m
    - u_4833m
    - u_5274m
    - v_643m
    - v_763m
    - v_902m
    - v_1245m
    - v_1684m
    - v_2225m
    - v_3220m
    - v_3597m
    - v_3992m
    - v_4405m
    - v_4833m
    - v_5274m
    - ssh_surface
  grid: [16, 32]
  input_steps: 2
  output_steps: 4
  synthetic_samples: 32
  batch_size: 2

model:
  hidden_channels: 32
  modes: [6, 8]
  layers: 4

training:
  epochs: 10
  learning_rate: 0.0001
  device: auto
  checkpoint_dir: ./data/checkpoints
  checkpoint: ./data/checkpoints/model_glonet.pth
  pretrain_rollout_steps: 1
  finetune_rollout_steps: 4