seed: 42
data:
  root: data
  format_version: mass_conserving_msw_v1
  grid_points: 250
  domain_km: 125
  variables: [u, h, r]
  input_channels: 4
  train_samples: 24
  validation_samples: 12
model:
  input_channels: 4
  hidden_channels: 32
  hidden_layers: 4
  kernel_size: 3
train:
  epochs: 2
  batch_size: 8
  learning_rate: 0.001
  optimizer: Adam
  eta: 2.0
  num_workers: 0
runtime:
  device: auto
paths:
  checkpoint: result/checkpoints/massconservingcnn.pt
  training_metrics: result/training/metrics.json
  inference: result/output/predictions.npz
  evaluation_dir: result/evaluation
paper_model:
  input_channels: 4
  output_channels: 3
  grid_points: 250
  hidden_channels: 32
  hidden_layers: 4
  kernel_size: 3
  hidden_activation: SELU
  rain_activation: ReLU
  padding: circular
  influence_radius: 5
  train_samples: 48000
  validation_samples: 48000
  batch_size: 96
  epochs: 100
  optimizer: Adam
  eta: 2.0
  experiment: dT10_eta2