Research Article
Spatiotemporal Approaches for Quality Control and Error Correction of Atmospheric Data through Machine Learning
Table 4
Comparison of MLQC-HT results on raw data and interpolated data.
| Method | Weather element | Raw data | Interpolated data | Correlation coefficient | RMSE | 3σ error | Time (sec) | Correlation coefficient | RMSE | 3σ error | Time (sec) | #err/#total | Rateerr(%) | #err/#total | Rateerr(%) |
| SVR | Temperature | 1.000 | 0.0589 | 292/10050 | 2.91 | 1464 | 1.000 | 0.0556 | 287/9665 | 2.97 | 1402 | Humidity | 0.9995 | 0.6456 | 148/10050 | 1.47 | 2378 | 0.9997 | 0.4712 | 129/6429 | 2.01 | 798 | UV-rays | 0.9919 | 1.7307 | 4508/10050 | 44.86 | 2202 | 0.9919 | 1.7307 | 4508/10050 | 44.86 | 2202 | PM2.5 | 0.9209 | 8.1594 | 390/10050 | 3.88 | 888 | 0.9834 | 3.6107 | 388/10013 | 3.87 | 928 | Solar radiation | 0.9062 | 0.0049 | 138/10050 | 1.37 | 1126 | 0.9062 | 0.0049 | 138/10050 | 1.37 | 1126 | u | 0.7576 | 0.5815 | 432/10050 | 4.30 | 717 | 0.7739 | 0.3589 | 332/7254 | 4.58 | 245 | | 0.7639 | 0.7385 | 565/10050 | 5.62 | 704 | 0.7837 | 0.4251 | 436/7254 | 6.01 | 219 |
| MLP | Temperature | 0.9999 | 0.0662 | 1710/10050 | 17.01 | 53 | 0.9999 | 0.0648 | 493/9665 | 5.10 | 46 | Humidity | 0.9993 | 0.7906 | 1585/10050 | 15.77 | 53 | 0.9996 | 0.5484 | 281/6429 | 4.37 | 31 | UV-rays | 0.9902 | 1.9707 | 3688/10050 | 36.70 | 49 | 0.9902 | 1.9707 | 3688/10050 | 36.70 | 49 | PM2.5 | 0.9039 | 8.9938 | 772/10050 | 7.68 | 54 | 0.9805 | 3.9132 | 405/10013 | 4.04 | 50 | Solar radiation | 0.9016 | 0.0051 | 88/10050 | 0.88 | 50 | 0.9016 | 0.0051 | 88/10050 | 0.88 | 50 | u | 0.6273 | 0.7208 | 1006/10050 | 10.01 | 52 | 0.654 | 0.4535 | 419/7254 | 5.78 | 34 | | 0.7256 | 0.7901 | 1420/10050 | 14.13 | 53 | 0.7075 | 0.4935 | 478/7254 | 6.59 | 16 |
| DT | Temperature | 0.9943 | 0.6297 | 7680/10050 | 76.42 | 4 | 0.9945 | 0.6095 | 7716/9665 | 79.83 | 2 | Humidity | 0.9947 | 2.1775 | 6752/10050 | 67.18 | 5 | 0.9937 | 2.2225 | 4315/6429 | 67.12 | 1 | UV-rays | 0.9796 | 2.7371 | 7033/10050 | 69.98 | 2 | 0.9796 | 2.7371 | 7033/10050 | 69.98 | 2 | PM2.5 | 0.8968 | 9.2503 | 3466/10050 | 34.49 | 8 | 0.9704 | 4.7958 | 3398/10013 | 33.94 | 2 | Solar radiation | 0.9181 | 0.0045 | 136/10050 | 1.35 | 2 | 0.9181 | 0.0045 | 136/10050 | 1.35 | 2 | u | 0.6854 | 0.6418 | 794/10050 | 7.90 | 5 | 0.7202 | 0.391 | 501/7254 | 6.91 | 2 | | 0.7130 | 0.7959 | 1158/10050 | 11.52 | 4 | 0.7337 | 0.464 | 613/7254 | 8.45 | 2 |
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SVR is support vector regression, MLP is multilayer perceptron, and DT is decision table. |