Research Article
Convolutional Residual-Attention: A Deep Learning Approach for Precipitation Nowcasting
Table 6
Predicted average of different models under different precipitation levels.
| Model | No rain | Light rain | Moderate rain | Heavy rain | Rainstorm | Big heavy rain | Extraordinary heavy rain |
| Observation | 0 | 1.13 | 3.47 | 10.14 | 26.87 | 44.03 | 58.97 | Dual-channel MAR-CNN | 0.06 | 0.16 | 2.30 | 12.34 | 24.80 | 32.99 | 50.23 | Dual-channel CNN with attention | 2.50 | 3.27 | 6.76 | 11.24 | 25.60 | 32.64 | 47.38 | Dual-channel CNN | 0 | 0.01 | 0.97 | 9.23 | 24.21 | 28.03 | 49.21 | Single-channel CNN (baseline) | 5.09 | 3.99 | 7.34 | 12.52 | 23.91 | 32.20 | 48.33 | GBDT | 7.55 | 8.24 | 11.09 | 12.63 | 21.53 | 25.47 | 27.31 | SVM | 4.06 | 2.95 | 6.15 | 11.38 | 22.48 | 30.01 | 46.45 |
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