# Prediction of Ocean Weather Based on Denoising AutoEncoder and Convolutional LSTM
## 4 Applications
### Prediction Results of Worldwide Ocean Weather
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Areas**} & **SST** & **MWH** & **MWP** & **MWD** & **WU** & **WV** & **CU** & **CV** & **Average** \\  & **Error** & **Error** & **Error** & **Error** & **Error** & **Error** & **Error** & **Error** & **Error** \\  & [\({}^{\circ}\)K] & **[m]** & **[s]** & **[deg]** & **[m/s]** & **[m/s]** & **[m/s]** & **[m/s]** & **Error** \\ \hline \multirow{2}{*}{Area 1} & 2.81 & 0.82 & 1.15 & 57.20 & 4.04 & 4.64 & 0.12 & 0.12 & \multirow{2}{*}{6.8\%} \\  & (7.8\%) & (5.1\%) & (6.4\%) & (15.9\%) & (5.5\%) & (5.9\%) & (4.0\%) & (3.7\%) & \\ \multirow{2}{*}{Area 2} & 2.05 & 0.74 & 1.10 & 72.77 & 6.01 & 4.49 & **0.12** & **0.11** & \\  & (5.2\%) & (4.4\%) & (6.4\%) & (20.2\%) & (4.0\%) & (4.3\%) & **(2.5\%)** & **(2.3\%)** & \\ \multirow{2}{*}{Area 3} & 3.74 & 0.46 & **0.88** & 71.84 & 3.56 & 3.76 & 0.09 & 0.09 & \multirow{2}{*}{7.1\%} \\  & (9.7\%) & (3.7\%) & (**5.3\%)** & (20.0\%) & (5.7\%) & (6.4\%) & (3.0\%) & (3.0\%) & \\ \multirow{2}{*}{Area 4} & 3.47 & 0.74 & 1.07 & 77.08 & 20.18 & 4.56 & 0.15 & 0.15 & \multirow{2}{*}{7.5\%} \\  & (9.9\%) & (4.6\%) & (6.1\%) & (21.4\%) & (7.9\%) & (3.6\%) & (3.5\%) & (3.1\%) & \\ \multirow{2}{*}{Area 5} & 3.70 & 0.36 & 1.13 & 52.25 & **2.03** & 2.22 & 0.13 & 0.12 & \multirow{2}{*}{6.2\%} \\  & (9.8\%) & (**4.6\%)** & (6.8\%) & (14.5\%) & **(4.1\%)** & (3.6\%) & (2.9\%) & (3.2\%) & \\ \multirow{2}{*}{Area 6} & **3.40** & 0.82 & **1.84** & 72.42 & 3.33 & 3.03 & 0.14 & 0.13 & \multirow{2}{*}{7.9\%} \\  & (**9.9\%)** & (5.5\%) & **(11.0\%)** & (20.1\%) & (4.9\%) & (4.9\%) & (3.7\%) & (3.5\%) & \\ \multirow{2}{*}{Area 7} & 1.63 & 0.58 & 1.42 & 39.11 & 3.54 & 3.75 & 0.15 & \multirow{2}{*}{0.14} & \multirow{2}{*}{6.2\%} \\  & (4.6\%) & (6.2\%) & (8.4\%) & (10.9\%) & (7.3\%) & (6.5\%) & (3.0\%) & (3.0\%) & \\ \multirow{2}{*}{Area 8} & **1.08** & **0.34** & 0.82 & 29.29 & 2.21 & **2.00** & 0.13 & 0.12 & \multirow{2}{*}{**4.1\%**} \\  & **(3.0\%)** & **(3.1\%)** & (4.8\%) & (8.1\%) & (4.2\%) & **(3.2\%)** & (3.0\%) & (3.1\%) & \\ \multirow{2}{*}{Area 9} & 1.34 & 0.85 & 1.17 & 43.32 & **4.80** & 5.00 & **0.12** & **0.12** & **0.12** & \multirow{2}{*}{6.6\%} \\  & (4.0\%) & (6.0\%) & (7.0\%) & (12.0\%) & (**8.0\%)** & (7.8\%) & **(4.1\%)** & **(4.2\%)** & \\ \multirow{2}{*}{Area 10} & 2.38 & **1.09** & 1.76 & **77.47** & 5.47 & 5.21 & 0.13 & 0.13 & \multirow{2}{*}{**9.7\%**} \\  & (8.9\%) & **(11.6\%)** & (10.7\%) & **(21.5\%)** & (10.3\%) & (9.1\%) & (2.9\%) & (2.9\%) & **9.7\%** \\ \multirow{2}{*}{Area 11} & 2.92 & 0.93 & 1.36 & 37.68 & 5.00 & **7.96** & 0.15 & 0.15 & \multirow{2}{*}{7.1\%} \\  & (9.2\%) & (6.2\%) & (8.0\%) & (10.5\%) & (7.6\%) & **(9.9\%)** & (3.0\%) & (2.6\%) & \\ \multirow{2}{*}{Area 12} & 1.07 & 0.81 & 1.10 & 31.40 & 4.52 & 4.71 & 0.13 & 0.13 & \multirow{2}{*}{5.4\%} \\  & (3.1\%) & (5.4\%) & (6.5\%) & (8.7\%) & (6.9\%) & (6.3\%) & (2.9\%) & (3.1\%) & \\ \multirow{2}{*}{Average & 2.47 & 0.71 & 1.23 & 55.15 & 5.39 & 4.28 & 0.13 & 0.13 & \multirow{2}{*}{6.7\%} \\ \multirow{2}{*}{error} & (7.1\%) & (5.5\%) & (7.3\%) & (15.3\%) & (6.4\%) & (6.0\%) & (3.2\%) & (3.2\%) & \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Summary of the prediction accuracy for all areas. By analyzing the error rate for each type of data, the error rate of the current is significantly lower than that of the other types. In this study, the HYCOM data were used for training the CU and CV, and the data range was relatively short (4.4 years data) compared with the ECMWF data. However, the error rate was low compared with the other types of data. It was expected to be easy for the learning model to grasp the pattern because the current is relatively small, and there is little change compared with the other data. Conversely, in the case of MWD, the error rate was significantly higher than that of other data, which may have occurred because the fluctuation range is very severe and there is no periodicity relative to the other types of data.