Research Article
Evaluation of Seven Gap-Filling Techniques for Daily Station-Based Rainfall Datasets in South Ethiopia
Table 6
Performance evaluation results of gap-filling techniques in Shone 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) | 4.0 | 4.0 | 4.0 | 4.0 | 4.4 | 4.3 | | RMSE (mm) | 7.3 | 7.3 | 7.3 | 7.4 | 6.9 | 8.5 | | SS (unitless) | 0.1 | 0.1 | 0.1 | 0.0 | 0.2 | −0.3 | | R (unitless) | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | 0.3 |
| | After empirical quantile mapping plus (EQM+) | | MAE (mm) | 4.0 | 4.0 | 4.0 | 4.0 | 4.6 | 4.2 | | RMSE (mm) | 7.2 | 7.2 | 7.1 | 7.2 | 6.9 | 8.1 | | SS (unitless) | 0.1 | 0.1 | 0.1 | 0.1 | 0.2 | −0.2 | | R (unitless) | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | 0.3 |
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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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