A data-driven linear correction fitted by least squares stabilizes low-dimensional reduced order models of quasi-geostrophic ocean flow, and adding a dissipativity constraint improves accuracy at very low dimensions.
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Data-Driven Correction Reduced Order Models for the Quasi-Geostrophic Equations: A Numerical Investigation
A data-driven linear correction fitted by least squares stabilizes low-dimensional reduced order models of quasi-geostrophic ocean flow, and adding a dissipativity constraint improves accuracy at very low dimensions.