Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges

1 code implementation • 8 Jun 2023 • Karan Jakhar, Yifei Guan, Rambod Mojgani, Ashesh Chattopadhyay, Pedram Hassanzadeh, Laura Zanna

There is growing interest in discovering interpretable, closed-form equations for subgrid-scale (SGS) closures/parameterizations of complex processes in Earth system.

Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow

1 code implementation • 7 Jun 2022 • Adam Subel, Yifei Guan, Ashesh Chattopadhyay, Pedram Hassanzadeh

For effective TL, we need to know 1) what are the best layers to re-train?

Out-of-Distribution Generalization Transfer Learning