  Numerical stabilization is often used to eliminate (alleviate) the spurious
oscillations generally produced by full order models (FOMs) in under-resolved
or marginally-resolved simulations of convection-dominated flows. In this paper
we investigate the role of numerical stabilization in reduced order models
(ROMs) of convection-dominated, marginally-resolved flows. Specifically, we
investigate the FOM-ROM consistency, i.e., whether the numerical stabilization
is beneficial both at the FOM and the ROM level. As a numerical stabilization
strategy, we focus on the evolve-filter-relax (EFR) regularization algorithm,
which centers around spatial filtering. To investigate the FOM-ROM consistency,
we consider two ROM strategies: (i) the EFR-ROM, in which the EFR stabilization
is used at the FOM level, but not at the ROM level; and (ii) the EFR-EFRROM, in
which the EFR stabilization is used both at the FOM and at the ROM level. We
compare the EFR-ROM with the EFR-EFRROM in the numerical simulation of a 2D
flow past a circular cylinder in the convection-dominated, marginally-resolved
regime. We also perform model reduction with respect to both time and Reynolds
number. Our numerical investigation shows that the EFR-EFRROM is more accurate
than the EFR-ROM, which suggests that FOM-ROM consistency is beneficial in
convection-dominated, marginally-resolved flows.
