Research Article
Spatiotemporal Approaches for Quality Control and Error Correction of Atmospheric Data through Machine Learning
Table 7
MLQC-ST results on raw data together with AWS data using SVR.
| Weather element | Correlation coefficient | RMSE | 3σ error | # omitted data | Time (sec) | #err/#total | Rateerr(%) |
| Temperature | 0.9975 | 0.3863 | 19/7923 | 0.24 | 1742 | 1048.5 | Humidity | 0.9927 | 1.8442 | 20/4406 | 0.45 | 2023 | 121.375 | u | 0.3659 | 0.3750 | 15/2029 | 0.74 | 5225 | 10.5 | | 0.5347 | 0.4845 | 28/2029 | 1.38 | 5225 | 9.875 |
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