Research Article
Spatiotemporal Approaches for Quality Control and Error Correction of Atmospheric Data through Machine Learning
Table 2
Results of basic quality control.
| Weather element | Physical limit | Time consistency | Persistence | #err | Ratenormal (%) | #err | Ratenormal (%) | #err | Ratenormal (%) |
| Temperature | 0 | 100 | 251 | 97.50 | 13 | 99.87 | Humidity | 0 | 100 | 798 | 92.07 | 2475 | 75.40 | UV-rays | 0 | 100 | 0 | 100 | 0 | 100 | PM2.5 | 34 | 99.66 | 0 | 100 | 0 | 100 | Solar radiation | 0 | 100 | 0 | 100 | 0 | 100 | Wind direction | 0 | 100 | 0 | 100 | 0 | 100 | Wind speed | 0 | 100 | 1571 | 84.38 | 402 | 96.00 |
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The number of weather data is 10,050. |