Combining sea surface currents with sea surface height improves deep learning Lagrangian drift simulations by over 50% in separation distance, while sea surface temperature degrades performance in both numerical and real drifter benchmarks.
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Impact of geophysical fields on Deep Learning-based Lagrangian drift simulations
Combining sea surface currents with sea surface height improves deep learning Lagrangian drift simulations by over 50% in separation distance, while sea surface temperature degrades performance in both numerical and real drifter benchmarks.