A dynamic closure modeling framework for model order reduction of geophysical flows
Abstract
Here in this paper, a dynamic closure modeling approach has been derived to stabilize the projection-based reduced order models in the long-term evolution of forced-dissipative dynamical systems. To simplify our derivation without losing generalizability, the proposed reduced order modeling (ROM) framework is first constructed by Galerkin projection of the single-layer quasigeostrophic equation, a standard prototype of large-scale general circulation models, onto a set of dominant proper orthogonal decomposition modes. We then propose an eddy viscosity closure approach to stabilize the resulting surrogate model considering the analogy between large eddy simulation (LES) and truncated modal projection. Our efforts, in particular, include the translation of the dynamic subgrid-scale model into our ROM setting by defining a test truncation similar to the test filtering in LES. Finally, the a posteriori analysis shows that our approach is remarkably accurate, allowing us to integrate simulations over long time intervals at a nominally small computational overhead.
- Authors:
-
- Oklahoma State Univ., Stillwater, OK (United States). School of Mechanical and Aerospace Engineering
- Publication Date:
- Research Org.:
- Oklahoma State Univ., Stillwater, OK (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- OSTI Identifier:
- 1593561
- Alternate Identifier(s):
- OSTI ID: 1509520
- Grant/Contract Number:
- SC0019290
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Physics of Fluids
- Additional Journal Information:
- Journal Volume: 31; Journal Issue: 4; Journal ID: ISSN 1070-6631
- Publisher:
- American Institute of Physics (AIP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; Turbulence modeling; Geophysical flows; Reduced order modeling; Proper orthogonal decomposition; Galerkin projection; Dynamic eddy viscosity closure
Citation Formats
Rahman, Sk. M., Ahmed, S. E., and San, O. A dynamic closure modeling framework for model order reduction of geophysical flows. United States: N. p., 2019.
Web. doi:10.1063/1.5093355.
Rahman, Sk. M., Ahmed, S. E., & San, O. A dynamic closure modeling framework for model order reduction of geophysical flows. United States. https://doi.org/10.1063/1.5093355
Rahman, Sk. M., Ahmed, S. E., and San, O. Fri .
"A dynamic closure modeling framework for model order reduction of geophysical flows". United States. https://doi.org/10.1063/1.5093355. https://www.osti.gov/servlets/purl/1593561.
@article{osti_1593561,
title = {A dynamic closure modeling framework for model order reduction of geophysical flows},
author = {Rahman, Sk. M. and Ahmed, S. E. and San, O.},
abstractNote = {Here in this paper, a dynamic closure modeling approach has been derived to stabilize the projection-based reduced order models in the long-term evolution of forced-dissipative dynamical systems. To simplify our derivation without losing generalizability, the proposed reduced order modeling (ROM) framework is first constructed by Galerkin projection of the single-layer quasigeostrophic equation, a standard prototype of large-scale general circulation models, onto a set of dominant proper orthogonal decomposition modes. We then propose an eddy viscosity closure approach to stabilize the resulting surrogate model considering the analogy between large eddy simulation (LES) and truncated modal projection. Our efforts, in particular, include the translation of the dynamic subgrid-scale model into our ROM setting by defining a test truncation similar to the test filtering in LES. Finally, the a posteriori analysis shows that our approach is remarkably accurate, allowing us to integrate simulations over long time intervals at a nominally small computational overhead.},
doi = {10.1063/1.5093355},
journal = {Physics of Fluids},
number = 4,
volume = 31,
place = {United States},
year = {Fri Apr 26 00:00:00 EDT 2019},
month = {Fri Apr 26 00:00:00 EDT 2019}
}
Web of Science
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Works referencing / citing this record:
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