A hybrid physics-informed and data-driven model for estimating ocean internal wave phase speeds from remote sensing imagery

Key Points

• 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.