Spatiotemporal Prediction on ERA5 Global
0.552RMSEOMNIFLOW
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| OMNIFLOWCategory=Proposed, Training Strategy=Training-free2026.03 | 0.552 | 93.1 | 32.11 | |
| TAUCategory=S-T Predict, Training Strategy=End-to-end2026.03 | 0.602 | 88.4 | 29.12 | |
| EarthFarseerCategory=Sci-ML, Training Strategy=End-to-end2026.03 | 0.615 | 89.5 | 30.22 | |
| FNOCategory=Sci-ML, Training Strategy=End-to-end2026.03 | 0.621 | 87.2 | 28.55 | |
| PastNetCategory=Sci-ML, Training Strategy=End-to-end2026.03 | 0.642 | 86.5 | 28.1 | |
| EarthformerCategory=S-T Predict, Training Strategy=End-to-end2026.03 | 0.654 | 85.5 | 27.85 | |
| LSMCategory=Sci-ML, Training Strategy=End-to-end2026.03 | 0.688 | 84.1 | 27.1 | |
| SimVPCategory=S-T Predict, Training Strategy=End-to-end2026.03 | 0.722 | 82.4 | 26.11 | |
| PredRNNCategory=S-T Predict, Training Strategy=End-to-end2026.03 | 0.845 | 78.2 | 24.66 | |
| ConvLSTMCategory=S-T Predict, Training Strategy=End-to-end2026.03 | 0.921 | 75.8 | 23.9 | |
| SwinT-BaseCategory=Vision, Training Strategy=End-to-end2026.03 | 0.982 | 74.5 | 23.41 | |
| UNetCategory=Vision, Training Strategy=End-to-end2026.03 | 1.055 | 72.4 | 22.88 | |
| ViT-BaseCategory=Vision, Training Strategy=End-to-end2026.03 | 1.182 | 70.1 | 22.03 | |
| ResNetCategory=Vision, Training Strategy=End-to-end2026.03 | 1.245 | 68.2 | 21.45 |