A dynamic extension of the pragmatic blending scheme for scale-dependent sub-grid mixing

[thumbnail of Open Access]
Preview
Text (Open Access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.
| Preview
Available under license: Creative Commons Attribution
[thumbnail of paper.pdf]
Text - Accepted Version
· Restricted to Repository staff only
Restricted to Repository staff only

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Efstathiou, G. A. and Plant, R. S. orcid id iconORCID: https://orcid.org/0000-0001-8808-0022 (2019) A dynamic extension of the pragmatic blending scheme for scale-dependent sub-grid mixing. Quarterly Journal of the Royal Meteorological Society, 145 (719). pp. 884-892. ISSN 1477-870X doi: 10.1002/qj.3445

Abstract/Summary

The pragmatic blending approach of Boutle et al. (2014) treats sub-grid turbulent mixing using a weighted average of a 1D mesoscale-model and a 3D Smagorinsky formulation. Here the approach is modified and extended to incorporate a scale-dependent dynamic Smagorinsky scheme instead of a static Smagorinsky scheme. Results from simulating an evolving convective boundary layer show that the new scheme is able to improve the representation of turbulence statistics and potential temperature profiles at grey-zone resolutions during the transition from the shallow morning to the deep afternoon boundary layer. This is achieved mainly because the new scheme enables and controls an improved spin-up of resolved turbulence. The dynamic blending scheme is shown to be more adaptive to the evolving flow and somewhat less sensitive to the blending parameters. The new approach appears to offer a more robust and more flexible formulation of blending and the results are strongly encouraging of further assessment and development.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/80694
Identification Number/DOI 10.1002/qj.3445
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher Royal Meteorological Society
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar