project:
  name: PrecipDD
  format_version: precipdd_v1
  seed: 23
  license: Apache-2.0

paths:
  data: data/daily_precip_anomaly.npz
  checkpoint: result/checkpoints/precipdd.pt
  training_metrics: result/training/metrics.json
  predictions: result/output/predictions.npz
  evaluation_metrics: result/evaluation/metrics.json
  comparison_figure: result/evaluation/comparison.png

data:
  layout: NCHW
  input_shape: [1, 55, 160]
  latitude_range: [-60.0, 75.0]
  latitude_note: 55 engineering grid centers at 2.5 degree spacing; the paper text reports inconsistent endpoints alongside 55 points
  longitude_range: [0.0, 397.5]
  longitude_note: 0-360 E plus repeated 0-40 E extension
  normalization: daily climatology anomaly divided by zonal-mean anomaly standard deviation at each latitude
  train_samples: 96
  validation_samples: 32
  test_days_per_year: 6
  test_years: [1980, 2020]
  synthetic_members: 8
  paper_members: 80
  paper_period: [1850, 2100]
  paper_train_days: 730000
  paper_validation_days: 146000

model:
  filters: [8, 8, 16, 16, 16]
  kernel_size: 3
  dense_units: 32
  conv_activation: tanh
  dense_activation: sigmoid
  output_activation: linear
  expected_feature_shape: [16, 14, 40]
  flattened_features: 8960

training:
  ensemble_members: 2
  paper_ensemble_members: 5
  epochs: 3
  batch_size: 8
  learning_rate: 0.001
  l2_weight_decay: 0.0001
  loss: MAE
  optimizer: Adam
  initialization: Xavier-uniform
  num_workers: 0

runtime:
  device: auto
  ddp_backend_gpu: nccl
  ddp_backend_cpu: gloo

evaluation:
  emergence_threshold_c: 0.42
  occlusion_patch: 7
  occlusion_stride: 8
  occlusion_max_days: 12