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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/20713

Title: A finite-volume module for simulating global all-scale atmospheric flows
Authors: Smolarkiewicz, Piotr K.
Deconinck, Willem
Hamrud, Mats
Kuhnlein, Christian
Mozdzynski, George
Szmelter, Joanna
Wedi, Nils P.
Keywords: Atmospheric models
Hierarchical modelling
Non-oscillatory forward-in-time schemes
Gravity waves
Numerical weather prediction
Issue Date: 2016
Publisher: © Elsevier
Citation: SMOLARKIEWICZ, P.K. ... et al, 2016. A finite-volume module for simulating global all-scale atmospheric flows. Journal of Computational Physics, 314, pp. 287-304.
Abstract: The paper documents the development of a global nonhydrostatic finite-volume module designed to enhance an established spectral-transform based numerical weather prediction (NWP) model. The module adheres to NWP standards, with formulation of the governing equations based on the classical meteorological latitude-longitude spherical framework. In the horizontal, a bespoke unstructured mesh with finite-volumes built about the reduced Gaussian grid of the existing NWP model circumvents the notorious stiffness in the polar regions of the spherical framework. All dependent variables are co-located, accommodating both spectral-transform and grid-point solutions at the same physical locations. In the vertical, a uniform finite-difference discretisation facilitates the solution of intricate elliptic problems in thin spherical shells, while the pliancy of the physical vertical coordinate is delegated to generalised continuous transformations between computational and physical space. The newly developed module assumes the compressible Euler equations as default, but includes reduced soundproof PDEs as an option. Furthermore, it employs semi-implicit forward-in-time integrators of the governing PDE systems, akin to but more general than those used in the NWP model. The module shares the equal regions parallelisation scheme with the NWP model, with multiple layers of parallelism hybridising MPI tasks and OpenMP threads. The efficacy of the developed nonhydrostatic module is illustrated with benchmarks of idealised global weather.
Description: This paper is embargoed until March 2017.
Sponsor: This work was supported in part by funding received from the European Research Council under the European Union's Seventh Framework Programme (FP7/2012/ERC Grant agreement no. 320375).
Version: Accepted for publication
DOI: 10.1016/j.jcp.2016.03.015
URI: https://dspace.lboro.ac.uk/2134/20713
Publisher Link: http://dx.doi.org/10.1016/j.jcp.2016.03.015
ISSN: 1090-2716
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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