| seed: 2020 |
| data: |
| root: data |
| format_version: rf_climparam_v2 |
| scales: [x4, x8, x16, x32] |
| snapshots_per_scale: 1 |
| train_columns_per_latitude: 1 |
| vertical_levels: 48 |
| low_level_diffusion_levels: 15 |
| snapshot_hours: 3 |
| training_days: 337.5 |
| high_resolution: |
| resolution_km: 12 |
| grid: [576, 1440] |
| domain_km: [6912, 17280] |
| coarse_grids: |
| x4: {factor: 4, resolution_km: 48, grid: [144, 360]} |
| x8: {factor: 8, resolution_km: 96, grid: [72, 180]} |
| x16: {factor: 16, resolution_km: 192, grid: [36, 90]} |
| x32: {factor: 32, resolution_km: 384, grid: [18, 45], online_native_grid: [18, 48]} |
| model: |
| rf_tend: {input_features: 145, output_features: 144} |
| rf_diff: {input_features: 62, output_features: 17} |
| engineering: |
| trees: 2 |
| max_depth: 5 |
| min_samples_leaf: 3 |
| max_features: sqrt |
| split_candidates: 8 |
| bootstrap: true |
| paper_model: |
| trees: 10 |
| min_samples_leaf: {x4: 20, x8: 20, x16: 20, x32: 7} |
| training_samples: {x4: 5000000, x8: 5000000, x16: 5000000, x32: not_reported} |
| max_depth: not_reported |
| max_features: not_reported |
| bootstrap: not_reported |
| split_criterion: not_reported |
| implementation: scikit-learn-0.21.2-RandomForestRegressor |
| runtime: |
| device: cpu |
| paths: |
| checkpoint: result/checkpoints/rf_climparam.pt |
| training_metrics: result/training/metrics.json |
| inference: result/output/predictions.npz |
| evaluation_dir: result/evaluation |
| evaluation: |
| precipitation_seconds: 10800 |
| online_proxy_scale: x32 |
| online_proxy_grid: [18, 48] |
| prediction_chunk_size: 4096 |
|
|
