| { |
| "model_name": "RF-ClimParam", |
| "model_type": "joint-multi-output-random-forest-regressor", |
| "architectures": ["JointRandomForestRegressor"], |
| "framework": "PyTorch", |
| "domain": "earth-science", |
| "task": "multi-resolution-subgrid-parameterization", |
| "implementation": { |
| "entry_point": "model/rf_climparam.py", |
| "scope": "independent paper-method engineering reproduction", |
| "train_script": "scripts/train.py", |
| "inference_script": "scripts/inference.py", |
| "evaluation_script": "scripts/result.py", |
| "synthetic_data_script": "scripts/fake_data.py" |
| }, |
| "architecture": { |
| "family": "bootstrapped extra-random regression forest", |
| "rf_tend_input": 145, |
| "rf_tend_output": 144, |
| "rf_diff_input": 62, |
| "rf_diff_output": 17, |
| "joint_multi_output_leaves": true, |
| "scales": ["x4", "x8", "x16", "x32"] |
| }, |
| "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" |
| }, |
| "data": { |
| "protocol": "rf_climparam_v2", |
| "format": "NPZ", |
| "high_resolution": {"km": 12, "grid": [576, 1440], "vertical_levels": 48}, |
| "coarse_grids": { |
| "x4": {"km": 48, "grid": [144, 360]}, |
| "x8": {"km": 96, "grid": [72, 180]}, |
| "x16": {"km": 192, "grid": [36, 90]}, |
| "x32": {"km": 384, "grid": [18, 45], "online_native_grid": [18, 48]} |
| }, |
| "domain_km": [6912, 17280], |
| "snapshot_hours": 3, |
| "default_timestep_seconds": 24, |
| "coarsening": "N by N horizontal average", |
| "synthetic_layout": "one complete C-order flattened structured snapshot per coarse scale", |
| "default_training_sampling": "one longitude column per latitude" |
| }, |
| "paper": { |
| "arxiv": "2001.03151", |
| "doi": "10.1038/s41467-020-17142-3", |
| "official_code_data_osf_doi": "10.17605/OSF.IO/36YPT" |
| }, |
| "configuration_sources": [ |
| "conf/config.yaml", "model/rf_climparam.py", "scripts/fake_data.py", |
| "scripts/train.py", "scripts/inference.py", "scripts/result.py" |
| ] |
| } |
|
|
