Table 5 MAE, RMSE, and R² Metrics Calculated at the Annual Scale.
From: Convolutional Long Short-Term Memory network for generating 100 m daily near-surface air temperature
Variable | Metric | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|
Tmax | MAE | 0.764 | 0.821 | 0.766 | 0.759 | 0.809 |
Tmax | RMSE | 0.996 | 1.078 | 0.998 | 0.992 | 1.065 |
Tmax | R2 | 0.930 | 0.921 | 0.916 | 0.938 | 0.907 |
Tmin | MAE | 0.702 | 0.651 | 0.669 | 0.747 | 0.709 |
Tmin | RMSE | 0.908 | 0.845 | 0.878 | 0.981 | 0.920 |
Tmin | R2 | 0.899 | 0.877 | 0.881 | 0.886 | 0.891 |
Tmean | MAE | 0.559 | 0.553 | 0.537 | 0.582 | 0.591 |
Tmean | RMSE | 0.727 | 0.715 | 0.691 | 0.762 | 0.766 |
Tmean | R2 | 0.942 | 0.939 | 0.931 | 0.947 | 0.931 |