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MPDATA: Third-order accuracy for variable flows

delete2018-04-01
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PRE
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M
Maciej Waruszewski *
C
Christian Kühnlein
H
Hanna Pawłowska
P
Piotr K. Smolarkiewicz
DOI:10.1016/j.jcp.2018.01.005delete
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摘要

摘要

En 中文
This paper extends the multidimensional positive definite advection transport algorithm (MPDATA) to third-order accuracy for temporally and spatially varying flows. This is accomplished by identifying the leading truncation error of the standard second-order MPDATA, performing the Cauchy-Kowalevski procedure to express it in a spatial form and compensating its discrete representation-much in the same way as the standard MPDATA corrects the first-order accurate upwind scheme. The procedure of deriving the spatial form of the truncation error was automated using a computer algebra system. This enables various options in MPDATA to be included straightforwardly in the third-order scheme, thereby minimising the implementation effort in existing code bases. Following the spirit of MPDATA, the error is compensated using the upwind scheme resulting in a sign-preserving algorithm, and the entire scheme can be formulated using only two upwind passes. Established MPDATA enhancements, such as formulation in generalised curvilinear coordinates, the nonoscillatory option or the infinite-gauge variant, carry over to the fully third-order accurate scheme. A manufactured 3D analytic solution is used to verify the theoretical development and its numerical implementation, whereas global tracertransport benchmarks demonstrate benefits for chemistry-transport models fundamental to air quality monitoring, forecasting and control. A series of explicitly-inviscid implicit large-eddy simulations of a convective boundary layer and explicitly-viscid simulations of a double shear layer illustrate advantages of the fully third-order-accurate MPDATA for fluid dynamics applications. (C) 2018 Elsevier Inc. All rights reserved.
Keyword:
Multidimensional advection
High-order schemes
Nonoscillatory schemes
Modified equation
Tracer transport
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期刊

Journal of Computational Physics 封面图
Journal of Computational Physics
IF:
3.8
论文数:
1.5W
被引数:
7.4W

机构

U
University of Warsaw
学者数:
1.2W
论文数: 1.1W
被引数: 1.1W
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