| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Lorenz-96 Arctangent Observation Operator | L-FPPF | RMSE0.287 | 24 | 23d ago | |
| Lorenz-96 | L-FPPF | RMSE0.669 | 24 | 23d ago | |
| Lorenz–63 | Diffusion | Average EW25.744 | 18 | 4mo ago | |
| Lorenz-96 10-dimensional | RMSE0.592 | 18 | 4mo ago | ||
| Single-scale Lorenz-96 (test) | AFSF | RMSE0.1632 | 10 | 3mo ago | |
| Burgers' equation nu=0.01 | AFSF | RMSE0.114 | 10 | 3mo ago | |
| Kuramoto-Sivashinsky L=32π, min(z^4, 10) | FPPF | RMSE1.15 | 8 | 23d ago | |
| Kuramoto-Sivashinsky L=32π arctan | RMSE0.11 | 8 | 23d ago | ||
| Kuramoto-Sivashinsky L=16π, min(z^4, 10) | FPPF | RMSE0.11 | 8 | 23d ago | |
| Kuramoto-Sivashinsky L=16π, arctan | RMSE0.07 | 8 | 23d ago | ||
| Canadian lynx and snowshoe hare records doubly noisy data | ELTO-AKF | MSE0.012 | 6 | 1mo ago | |
| two-factor stochastic volatility model synthetic (test) | AFSF | RMSE0.6117 | 3 | 3mo ago | |
| Two-scale Lorenz model F=16 | AFSF | RMSE0.5218 | 2 | 3mo ago | |
| Two-scale Lorenz model F=8 | AFSF | RMSE0.4397 | 2 | 3mo ago | |
| Two-scale Lorenz model F=5 | AFSF | RMSE0.4544 | 2 | 3mo ago |
