EGU25-14742, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-14742
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
NORi: A Novel, Physically-Principled Approach to Parameterization of Upper Ocean Turbulence using Neural Ordinary Differential Equations
Xin Kai Lee1,2,3, Ali Ramadhan1,2,4, Andre Souza1, Gregory Wagner1, Simone Silvestri1, John Marshall1,2, and Raffaele Ferrari1,2
Xin Kai Lee et al.
  • 1Massachusetts Institute of Technology, Department of Earth, Atmospheric and Planetary Sciences, Cambridge, USA
  • 2Massachusetts Institute of Technology, Center for Computational Science and Engineering, Cambridge, USA
  • 3Imperial College London, Department of Physics, London, UK
  • 4atdepth MRV, Cambridge, USA

How to cite: Lee, X. K., Ramadhan, A., Souza, A., Wagner, G., Silvestri, S., Marshall, J., and Ferrari, R.: NORi: A Novel, Physically-Principled Approach to Parameterization of Upper Ocean Turbulence using Neural Ordinary Differential Equations, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-14742, https://doi.org/10.5194/egusphere-egu25-14742, 2025.

This abstract has been withdrawn on 21 Apr 2025.