Research Article
Spatiotemporal Approaches for Quality Control and Error Correction of Atmospheric Data through Machine Learning
Table 6
MLQC-ST results on raw data using SVR.
| Weather element | Correlation coefficient | RMSE | 3σ error | Time (sec) | #err | Rateerr(%) |
| Temperature | 0.9968 | 0.4408 | 101 | 1.02 | 1037.25 | Humidity | 0.9943 | 2.1522 | 135 | 1.36 | 1156.625 | UV-rays | 0.9281 | 4.6200 | 1815 | 18.33 | 1302.25 | PM2.5 | 0.8982 | 9.6520 | 393 | 3.97 | 578.5 | Solar radiation | 0.8122 | 0.0072 | 10 | 0.10 | 83.125 | u | 0.3927 | 0.5180 | 764 | 7.72 | 541.75 | | 0.4869 | 0.6256 | 554 | 5.60 | 563.25 |
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The number of total weather data is 9,900. |