Data-Driven Correction Reduced Order Models for the Quasi-Geostrophic Equations: A Numerical Investigation
Abstract
This paper investigates the recently introduced data-driven correction reduced order model (DDC-ROM) in the numerical simulation of the quasi-geostrophic equations. The DDC-ROM uses available data to model the correction term that is generally used to represent the missing information in low-dimensional ROMs. Physical constraints are added to the DDC-ROM to create the constrained data-driven correction reduced order model (CDDC-ROM) in order to further improve its accuracy and stability. Finally, the DDC-ROM is tested on time intervals that are longer than the time interval over which it was trained. The numerical investigation shows that, for low-dimensional ROMs, both the DDC-ROM and CDDC-ROM perform better than the standard Galerkin ROM (G-ROM) and the CDDC-ROM provides the best results.
Keywords
Cite
@article{arxiv.1908.05297,
title = {Data-Driven Correction Reduced Order Models for the Quasi-Geostrophic Equations: A Numerical Investigation},
author = {Changhong Mou and Honghu Liu and David R. Wells and Traian Iliescu},
journal= {arXiv preprint arXiv:1908.05297},
year = {2020}
}