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.
Author details: | Vadym Aizinger, Peter Korn, Marco Giorgetta, Sebastian ReichORCiDGND |
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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 |