Data Assimilation on Tsunami Modeling
0Encoder Training Time (s)4DEnVar
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| 4DEnVarAssimilation dim.=67500, Ensemble size=40, Hardware=AMD 7543 CPU2026.02 | 0 | 24,639 | — | — | — | — | |
| LEVDAAssimilation dim.=12, Ensemble size=100, Hardware=Nvidia A6000 GPU2026.02 | 0 | 11.32 | — | — | — | — | |
| LD-EnSFAssimilation dim.=12, Ensemble size=100, Hardware=Nvidia A6000 GPU2026.02 | 312 | 0.37 | — | — | — | — | |
| Latent-EnSFAssimilation dim.=400, Ensemble size=100, Hardware=Nvidia A6000 GPU2026.02 | 27,718 | 5.77 | — | — | — | — | |
| EnSFEnsemble size=1002024.11 | — | — | 211.3 | 83.86 | — | 67 | |
| Latent-EnSFEnsemble size=1002024.11 | — | — | 211.3 | 0.66 | 5.11 | 400 | |
| LD-EnSFEnsemble size=1002024.11 | — | — | 0.05 | 0.37 | 0.0014 | 12 | |
| LETKFEnsemble size=1002024.11 | — | — | 211.3 | 10 | — | 67 |