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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