Articles | Volume 17, issue 11
https://doi.org/10.5194/acp-17-6531-2017
https://doi.org/10.5194/acp-17-6531-2017
Research article
 | 
02 Jun 2017
Research article |  | 02 Jun 2017

A new downscaling method for sub-grid turbulence modeling

Lucie Rottner, Christophe Baehr, Fleur Couvreux, Guylaine Canut, and Thomas Rieutord

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Lucie Rottner on behalf of the Authors (08 Jun 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (06 Jul 2016) by Eric Pardyjak
RR by Anonymous Referee #1 (01 Aug 2016)
ED: Reconsider after major revisions (25 Aug 2016) by Eric Pardyjak
AR by Anna Wenzel on behalf of the Authors (01 Feb 2017)  Author's response
ED: Referee Nomination & Report Request started (13 Feb 2017) by Eric Pardyjak
RR by Anonymous Referee #1 (27 Feb 2017)
ED: Reconsider after minor revisions (Editor review) (24 Mar 2017) by Eric Pardyjak
AR by Lucie Rottner on behalf of the Authors (03 Apr 2017)  Author's response    Manuscript
ED: Publish as is (02 May 2017) by Eric Pardyjak
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Short summary
In this study we explore a new way to model sub-grid turbulence using particle systems. The ability of particle systems to model small-scale turbulence is evaluated using high-resolution numerical simulations performed with the atmospheric model Meso-NH. The study shows that the particle system is able to reproduce much finer turbulent structures than the high-resolution simulations. It also provides an estimate of the effective spatial and temporal resolution of the numerical models.
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