A spectral renormalization method finds self-localized solitons in Smith's NLSE for nonlinear wave blocking; they exist for constant, linear, and sinusoidal current gradients and remain stable except under sinusoidal gradients.
Bayındır, Compressive spectral method for simulation of the nonlinear gravity waves, Scien
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LSTM networks are trained on 2002-2003 NOAA current data to predict u and v velocity components, with analysis of how training set size affects prediction error and spectral content.
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Self-Localized Solitons of the Nonlinear Wave Blocking Problem
A spectral renormalization method finds self-localized solitons in Smith's NLSE for nonlinear wave blocking; they exist for constant, linear, and sinusoidal current gradients and remain stable except under sinusoidal gradients.
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Predicting the Ocean Currents using Deep Learning
LSTM networks are trained on 2002-2003 NOAA current data to predict u and v velocity components, with analysis of how training set size affects prediction error and spectral content.