
A simulation with the ICON-O ocean model at 20 km resolution that is frequently corrected by a U-net-type neural network can achieve discretization errors similar to a simulation with 10 km resolution.


coremsg

improving-coarse-resolution-ocean-simulations-using-deep-learning-based-super-resolution


Improving Coarse-Resolution Ocean Simulations Using Deep Learning-Based Super-Resolution


title_rewrite


Leveraging advanced search algorithms for multiobjective optimization to streamline the development of Fourier neural operators tailored for accurate ocean modeling.


optimizing-fourier-neural-operators-for-accurate-ocean-dynamics-modeling-through-multiobjective-hyperparameter-search


Optimizing Fourier Neural Operators for Accurate Ocean Dynamics Modeling through Multiobjective Hyperparameter Search
