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March 3, 2026
A hybrid physics-informed and data-driven model for estimating ocean internal wave phase speeds from remote sensing imagery
GC
Guangxi Cui
ZC
Zhongya Cai
ML
M. X. Luo
Army Medical University
Puntos clave
Phase speeds of ocean internal waves can be accurately estimated using the hybrid model, enhancing our understanding of ocean dynamics.
This innovative approach integrates physics-based principles with data-driven methods to improve predictive accuracy in oceanographic conditions.
Analysis utilizes remote sensing imagery to capture internal wave behaviors in various oceanic environments for more precise measurements.
Application of this model highlights the benefits of combining computational techniques with traditional physics for oceanographic research.
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A hybrid physics-informed and data-driven model for estimating ocean internal wave phase speeds from remote sensing imagery | Synapse
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Cui et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75e3cc6e9836116a28a8b
https://doi.org/https://doi.org/10.1016/j.rse.2026.115247