Interpretable structural model error discovery from sparse assimilation increments using spectral bias-reduced neural networks: A quasi-geostrophic turbulence test case

#JAMES: Interpretable Structural Model Error Discovery From Sparse Assimilation Increments Using Spectral Bias‐Reduced Neural Networks: A Quasi‐Geostrophic Turbulence Test Case https://t.co/xPpjcE9Nah https://t.co/mcq86AP4dY

Interpretable structural model error discovery from sparse assimilation increments using spectral bias-reduced neural networks: A quasi-geostrophic turbulence test case. https://t.co/0ZafzqBusI

Here, with @turbulentjet and @ashesh6810 , we discuss spectral bias, its implication for #climate and turbulence models, and how it can be treated https://t.co/mSWj1gXk9A