Research Article
Evaluation of Seven Gap-Filling Techniques for Daily Station-Based Rainfall Datasets in South Ethiopia
Table 2
Performance evaluation results of gap-filling techniques in Areka station before and after empirical quantile mapping plus (EQM+).
| Performance evaluation criteria | Gap-filling techniques | SAM | NRM | CCW | IDW | MLR | EQM |
| Before empirical quantile mapping plus | MAE (mm) | 4.16 | 4.14 | 4.15 | 4.21 | 4.67 | 5.40 | RMSE (mm) | 7.96 | 7.98 | 7.96 | 8.04 | 7.75 | 9.70 | SS (unitless) | 0.12 | 0.11 | 0.12 | 0.10 | 0.16 | −0.31 | R (unitless) | 0.29 | 0.29 | 0.29 | 0.29 | 0.29 | 0.22 |
| After empirical quantile mapping plus (EQM+) | MAE (mm) | 5.01 | 4.98 | 5.00 | 5.06 | 5.74 | 6.29 | RMSE (mm) | 8.11 | 8.12 | 8.10 | 8.21 | 7.99 | 10.08 | SS (unitless) | 0.08 | 0.08 | 0.09 | 0.06 | 0.11 | −0.42 | R (unitless) | 0.29 | 0.29 | 0.29 | 0.30 | 0.27 | 0.22 |
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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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