Research Article
Improving the Accuracy of Rainfall Prediction Using Bias-Corrected NMME Outputs: A Case Study of Surabaya City, Indonesia
Table 1
Evaluation of NMME data before and after bias correction.
| Evaluation | Model | CanCM3 | CanCM4 | CCSM3 | CCSM4 | CM2p1 |
| Before correction | RMSE | 140.9 | 151.4 | 71.1 | 137.9 | 144.9 | MAE | 104.1 | 107.6 | 122.4 | 101.2 | 103.9 | R2 | 31.6 | 30.6 | 19.7 | 40.4 | 34.8 |
| Average ratio | RMSE | 140.8 | 146.1 | 159.9 | 136.3 | 143.3 | MAE | 103.3 | 106.2 | 123.8 | 97.1 | 103.8 | R2 | 38.4 | 33.7 | 20.6 | 42.3 | 36.2 |
| Linear regression | RMSE | 137.3 | 142.6 | 158.9 | 135.5 | 135.3 | MAE | 97.0 | 96.7 | 117.7 | 101.1 | 90.7 | R2 | 41.6 | 36.6 | 29.7 | 46.2 | 44.9 |
| Gamma regression | RMSE | 133.7 | 135.9 | 154.5 | 132.6 | 127.6 | MAE | 89.8 | 89.8 | 85.6 | 57.6 | 72.1 | R2 | 67.1 | 65.6 | 51.3 | 67.6 | 70.4 |
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