Research Article
Evaluation of Seven Gap-Filling Techniques for Daily Station-Based Rainfall Datasets in South Ethiopia
Table 3
Performance evaluation results of gap-filling techniques in Bele 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) | 4.38 | 4.37 | 4.37 | 4.47 | 4.47 | 5.21 | RMSE (mm) | 7.91 | 7.95 | 7.92 | 8.13 | 7.43 | 10.18 | SS (unitless) | −0.01 | −0.02 | −0.02 | −0.07 | 0.11 | −0.68 | R (unitless) | 0.33 | 0.33 | 0.33 | 0.32 | 0.33 | 0.23 |
| After empirical quantile mapping plus (EQM+) | MAE (mm) | 4.51 | 4.48 | 4.49 | 4.59 | 4.75 | 5.33 | RMSE (mm) | 8.03 | 8.06 | 8.03 | 8.25 | 7.44 | 10.25 | SS (unitless) | −0.04 | −0.05 | −0.04 | −0.10 | 0.11 | −0.70 | R (unitless) | 0.33 | 0.33 | 0.33 | 0.32 | 0.33 | 0.24 |
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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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