1 citations · 1 across the 2 of their papers we have counts for
2 papers
physics.ao-ph2024
Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence
Fei Er Yan, Hugo Frezat, Julien Le Sommer +2
For reasons of computational constraint, most global ocean circulation models used for Earth System Modeling still rely on parameterizations of sub-grid processes, and limitations…
physics.ao-ph2023★ 1 cited
On the choice of training data for machine learning of geostrophic mesoscale turbulence
F. E. Yan, J. Mak, Y. Wang
'Data' plays a central role in data-driven methods, but is not often the subject of focus in investigations of machine learning algorithms as applied to Earth System Modeling relat…