Differentiable Programming for Oceanography with Patrick Heimbach - #557
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Modular Oceanographic Modeling
This chapter explores the motivations for isolating modular components in oceanographic modeling, balancing computational efficiency with architectural clarity. It discusses the complexities of parameterization, localized simulations, and the integration of empirical models with machine learning for improved calibration in diverse ocean regions.
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