Real-time in situ prediction of ocean currents
Journal: Ocean Engineering (Q1)
Abstract
Deep autoregressive networks (LSTM and Transformer) can predict ocean currents in real-time at any location in the world.
Data
Ocean current data at 831 sites (222 stations have data length greater than 2 months) from NOAA. Sampling interval: 6 or 10 min
Conclusion
LSTM and Transformer can predict ocean currents in real-time at any location in the world and even better than traditional Harmonic Method.
e.g., Comparison of speed Normalized Root Mean Squared Error (NRMSE) (lower is better)
Station ID
Depth (ft)
LSTM
TF
HM
hb0401
15.7
0.14
0.12
0.12
jx0302
29.5
0.1
0.09
0.33
jx0701
15
0.09
0.10
0.12
cb0701
13.9
0.18
0.19
0.2
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