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Large-scale turbulence modelling via alpha-regularisation for atmospheric simulations

  • We study the possibility of obtaining a computational turbulence model by means of non-dissipative regularisation of the compressible atmospheric equations for climate-type applications. We use an -regularisation (Lagrangian averaging) of the atmospheric equations. For the hydrostatic and compressible atmospheric equations discretised using a finite volume method on unstructured grids, deterministic and non-deterministic numerical experiments are conducted to compare the individual solutions and the statistics of the regularised equations to those of the original model. The impact of the regularisation parameter is investigated. Our results confirm the principal compatibility of -regularisation with atmospheric dynamics and encourage further investigations within atmospheric model including complex physical parametrisations.

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Metadaten
Author details:Vadym Aizinger, Peter Korn, Marco Giorgetta, Sebastian ReichORCiDGND
DOI:https://doi.org/10.1080/14685248.2014.991443
ISSN:1468-5248
Title of parent work (English):Journal of turbulence
Publisher:Routledge, Taylor & Francis Group
Place of publishing:Abingdon
Publication type:Article
Language:English
Year of first publication:2015
Publication year:2015
Release date:2017/03/27
Tag:Lagrangian-averaged equations; hydrostatic atmosphere; non-dissipative regularisations
Volume:16
Issue:4
Number of pages:25
First page:367
Last Page:391
Funding institution:DFG SPP [1276]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Mathematik
Peer review:Referiert
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