| seed: 2026 |
| data: |
| path: data/metnet2_fake.npz |
| format_version: metnet2_selected_windows_v1 |
| logical_shape: [641, 512, 512] |
| channel_groups: {mrms_radar_history: 33, hrrr_atmosphere_history: 484, goes_satellite_history: 96, static_geography: 24, time_coordinates: 4} |
| window: 32 |
| halo: 8 |
| samples: 8 |
| model: |
| input_channels: 641 |
| classes: 512 |
| width: 8 |
| stacks: 1 |
| dilations: [1, 2, 4, 8, 16, 32, 64, 128] |
| lead_max_minutes: 720 |
| training: |
| batch_size: 1 |
| steps: 1 |
| learning_rate: 0.001 |
| class_chunk: 64 |
| runtime: |
| device: auto |
| num_threads: 2 |
| inference: |
| lead_minutes: 2 |
| coverage: selected 32x32 window |
| is_complete: false |
| paper_model: |
| input_channels: 641 |
| classes: 512 |
| stacks: 3 |
| dilations: [1, 2, 4, 8, 16, 32, 64, 128] |
| lead_times_minutes: {start: 2, stop: 720, step: 2} |
| spatial_upscale: 4 |
| methods: [ConvLSTM, lead-time FiLM, dilated residual stacks, center crop, bilinear upsampling] |
| paths: |
| checkpoint: result/checkpoints/metnet_2.pt |
| training_metrics: result/training/metrics.json |
| predictions: result/output/predictions.npz |
| evaluation_metrics: result/evaluation/metrics.json |
| comparison: result/evaluation/comparison.png |
|
|
