Research Article
Evaluation of Seven Gap-Filling Techniques for Daily Station-Based Rainfall Datasets in South Ethiopia
Table 5
Performance evaluation results of gap-filling techniques in Hosana station before and after empirical quantile mapping plus.
| Performance evaluation criteria | Gap-filling techniques | SAM | NRM | CCW | IDW | MLR | EQM |
| Before empirical quantile mapping plus | MAE (mm) | 3.85 | 3.84 | 3.84 | 3.86 | 3.37 | 3.89 | RMSE (mm) | 7.14 | 7.14 | 7.14 | 7.16 | 5.69 | 8.37 | SS (unitless) | 0.01 | 0.01 | 0.01 | 0.00 | 0.37 | −0.36 | R (unitless) | 0.38 | 0.38 | 0.38 | 0.38 | 0.69 | 0.28 |
| After empirical quantile mapping plus (EQM+) | MAE (mm) | 3.48 | 3.47 | 3.47 | 3.49 | 3.16 | 3.64 | RMSE (mm) | 6.86 | 6.86 | 6.86 | 6.87 | 6.00 | 8.00 | SS (unitless) | 0.08 | 0.08 | 0.08 | 0.08 | 0.30 | −0.25 | R (unitless) | 0.37 | 0.37 | 0.37 | 0.37 | 0.69 | 0.26 |
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MAE, RMSE, SS, and R are mean absolute error, root mean square error, skill score, and Person’s correlation coefficients, respectively.
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