Academic Journal
MQGeometry-1.0: a multi-layer quasi-geostrophic solver on non-rectangular geometries.
| Title: | MQGeometry-1.0: a multi-layer quasi-geostrophic solver on non-rectangular geometries. |
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| Authors: | Thiry, Louis, Li, Long, Roullet, Guillaume, Mémin, Etienne |
| Source: | Geoscientific Model Development; 2024, Vol. 17 Issue 4, p1749-1764, 16p |
| Abstract: | This paper presents MQGeometry, a multi-layer quasi-geostrophic (QG) equation solver for non-rectangular geometries. We advect the potential vorticity (PV) with finite volumes to ensure global PV conservation using a staggered discretization of the PV and stream function (SF). Thanks to this staggering, the PV is defined inside the domain, removing the need to define the PV on the domain boundary. We compute PV fluxes with upwind-biased interpolations whose implicit dissipation replaces the usual explicit (hyper-)viscous dissipation. The discretization presented here does not require tuning of any additional parameter, e.g., additional eddy viscosity. We solve the QG elliptic equation with a fast discrete sine transform spectral solver on rectangular geometry. We extend this fast solver to non-rectangular geometries using the capacitance matrix method. Subsequently, we validate our solver on a vortex-shear instability test case in a circular domain, on a vortex–wall interaction test case, and on an idealized wind-driven double-gyre configuration in an octagonal domain at an eddy-permitting resolution. Finally, we release a concise, efficient, and auto-differentiable PyTorch implementation of our method to facilitate future developments on this new discretization, e.g., machine-learning parameterization or data-assimilation techniques. [ABSTRACT FROM AUTHOR] |
| Subject Terms: | EDDY viscosity, STREAM function, ELLIPTIC equations, GEOMETRY, MACHINE learning, SINE-Gordon equation |
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| ISSN: | 1991959X |
| DOI: | 10.5194/gmd-17-1749-2024 |
| Database: | Complementary Index |
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