NORi: An ML-Augmented Ocean Boundary Layer Parameterization

Name: NORi: An ML-Augmented Ocean Boundary Layer Parameterization
Uploaded: 2026-09-07T04:19:54.401776+00:00
Duration: 398 s
Description: The episode discusses a paper titled "NORi: An ML-Augmented Ocean Boundary Layer Parameterization." Hosts analyze how this approach uses neural networks to model ocean entrainment, where denser water rises into the surface layer. They conclude the method is highly effective, computationally efficient, and stable over long simulations.

The episode discusses a paper titled "NORi: An ML-Augmented Ocean Boundary Layer Parameterization." Hosts analyze how this approach uses neural networks to model ocean entrainment, where denser water rises into the surface layer. They conclude the method is highly effective, computationally efficient, and stable over long simulations.

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