Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A stabilized proper orthogonal decomposition reduced-order model for
  large scale quasigeostrophic ocean circulation   In this paper, a stabilized proper orthogonal decomposition (POD)
reduced-order model (ROM) is presented for the barotropic vorticity equation.
We apply the POD-ROM model to mid-latitude simplified oceanic basins, which are
standard prototypes of more realistic large-scale ocean dynamics. A mode
dependent eddy viscosity closure scheme is used to model the effects of the
discarded POD modes. A sensitivity analysis with respect to the free eddy
viscosity stabilization parameter is performed for various POD-ROMs with
different numbers of POD modes. The POD-ROM results are validated against the
Munk layer resolving direct numerical simulations using a fully conservative
fourth-order Arakawa scheme. A comparison with the standard Galerkin POD-ROM
without any stabilization is also included in our investigation. Significant
improvements in the accuracy over the standard Galerkin model are shown for a
four-gyre ocean circulation problem. This first step in the numerical
assessment of the POD-ROM shows that it could represent a computationally
efficient tool for large scale oceanic simulations over long time intervals.

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The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
5
The categories of this paper are: gr-qc
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
17
The categories of this paper are: q-fin
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The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio
2
The categories of this paper are: math
9
The categories of this paper are: nlin