Precipitation forecasting on Radar Echo
67.8CSI (Threshold 30)MotionRNN
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| MotionRNNbackbone=PredRNN2021.03 | 67.8 | — | 66.4 | 62.3 | 86.5 | 10.9 | |
| MotionRNNbackbone=E3D-LSTM2021.03 | 67.1 | — | 65.9 | 62.1 | 88 | 9.67 | |
| MotionRNNbackbone=MIM2021.03 | 66.8 | — | 65.4 | 61.4 | 86.3 | 11.1 | |
| MIM2021.03 | 65.4 | — | 64.6 | 60.9 | 84.9 | 11.3 | |
| MotionRNNbackbone=ConvLSTM2021.03 | 64.6 | — | 62.9 | 58.6 | 85 | 11.9 | |
| PredRNN2021.03 | 63.3 | — | 62.2 | 58.1 | 84.1 | 11.9 | |
| ConvLSTM2021.03 | 62.4 | — | 60.5 | 56 | 83.7 | 12.3 | |
| E3D-LSTM2021.03 | 61.5 | — | 61.5 | 59 | 84.2 | 12.7 | |
| TrajGRU2021.03 | 57.6 | — | 54.5 | 48.4 | 81.5 | 13.9 | |
| Conv-TT-LSTM2021.03 | 57.1 | — | 53 | 46.9 | 82 | 13.6 | |
| MIMpredict_frames=10, input_frames=102018.11 | 42.9 | 27.8 | 39.9 | 31.7 | — | — | |
| PredRNNpredict_frames=10, input_frames=102018.11 | 40.1 | 31.8 | 37.8 | 30.6 | — | — | |
| Causal LSTMpredict_frames=10, input_frames=102018.11 | 36.2 | 29.8 | 33.1 | 25.1 | — | — | |
| FRNNpredict_frames=10, input_frames=102018.11 | 25.4 | 52.5 | 20.3 | 16.3 | — | — |