## 3 Experiment Verification
### Comparative Experiments and Result Analysis  
The performance of our model can be evaluated through the metrics outlined in Tables 3-5, the values in bold black font represent the best performance in each column. Given that our model specifically addresses the challenge of missing intensity areas in radar echo predictions for long sequence forecasting, particular attention is directed towards the CSI and POD metrics, which serve as indicators of the reliability of long-term predictions. Additionally, Figure 12 provides a visual comparison of the predicted image sequences produced by our model alongside those generated by other benchmark models. Figure 13 offers an enlarged view of a specific region highlighted in Figure 12, thereby providing greater clarity and detailed explanation. Various reflectivity intensities (dBZ) are represented using distinct colors, as specified in the composite reflectivity table located on the left. \begin{table}
\begin{tabular}{c c c c c c c c c c c c c c c c} \hline \hline  & & & & & & & & & & & & & & & & & & \\ \hline \hline
**Model** & **1** & **2** & **3** & **4** & **5** & **6** & **7** & **8** & **9** & **10** & **Avg** & **MSE(\downarrow)** & **MAE(\downarrow)** & **SSIM(\uparrow)** & **PSNR(\uparrow)** \\ \hline STD & 0.67 & **0.59** & **0.53** & **0.48** & **0.45** & **0.41** & **0.37** & **0.34** & **0.34** & **0.30** & **0.448** & 167.77 & 803.3 & **0.61** & 20.99 \\ ConvLSTM & 0.65 & 0.54 & 0.42 & 0.32 & 0.24 & 0.16 & 0.11 & 0.07 & 0.05 & 0.03 & 0.259 & 201.70 & 935.61 & 0.569 & 20.55 \\ PredRNN & 0.68 & 0.59 & 0.52 & 0.45 & 0.41 & 0.36 & 0.32 & 0.29 & 0.26 & 0.24 & 0.412 & 148.56 & 887.74 & 0.53 & 21.55 \\ PredRNN+ & **0.68** & 0.58 & 0.50 & 0.44 & 0.39 & 0.35 & 0.31 & 0.28 & 0.25 & 0.23 & 0.401 & **147.18** & 821.75 & 0.578 & **21.58** \\ PredRNNV2 & 0.65 & 0.57 & 0.50 & 0.45 & 0.41 & 0.37 & 0.34 & 0.32 & 0.30 & 0.28 & 0.419 & 158.39 & 880.28 & 0.56 & 21.24 \\ MIN & 0.66 & 0.56 & 0.48 & 0.42 & 0.37 & 0.32 & 0.27 & 0.24 & 0.20 & 0.17 & 0.369 & 154.83 & 822.81 & 0.58 & 21.25 \\ ESDLSTM & 0.63 & 0.55 & 0.47 & 0.41 & 0.37 & 0.33 & 0.29 & 0.26 & 0.24 & 0.21 & 0.376 & 159.54 & **789.97** & 0.60 & 21.09 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Comparison of CSI of 10 images predicted by different models under 30 dBZ. \begin{table}
\begin{tabular}{c c c c c c c c c c c c} \hline \hline  & \multicolumn{10}{c}{**POD Metric for Each Frame at 30 dBZ**} \\ \hline
**Model** & **1** & **2** & **3** & **4** & **5** & **6** & **7** & **8** & **9** & **10** & **Avg** \\ \hline STD-TranslatorNet & **0.80** & **0.74** & **0.69** & **0.63** & **0.59** & **0.56** & **0.52** & **0.50** & **0.47** & **0.44** & **0.594** \\ ConvLSTM & 0.71 & 0.59 & 0.47 & 0.35 & 0.26 & 0.18 & 0.12 & 0.08 & 0.05 & 0.04 & 0.285 \\ PredRNN & 0.77 & 0.69 & 0.62 & 0.54 & 0.50 & 0.45 & 0.42 & 0.38 & 0.35 & 0.33 & 0.505 \\ PredRNN++ & 0.77 & 0.67 & 0.60 & 0.53 & 0.47 & 0.43 & 0.39 & 0.36 & 0.32 & 0.30 & 0.484 \\ PredRNNV2 & 0.75 & 0.68 & 0.62 & 0.57 & 0.54 & 0.51 & 0.49 & 0.47 & 0.45 & 0.44 & 0.552 \\ MIN & 0.75 & 0.65 & 0.57 & 0.50 & 0.44 & 0.38 & 0.33 & 0.28 & 0.24 & 0.19 & 0.433 \\ ESDLSTM & 0.71 & 0.64 & 0.56 & 0.50 & 0.44 & 0.40 & 0.36 & 0.32 & 0.29 & 0.27 & 0.449 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Comparison of POD of 10 images predicted by different models under 30 dBZ. Figure 12: Standard spatiotemporal prediction model temporal forecasting visualization example.