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An a priori study of the subfilter-scale conservation equations for the stably stratified atmospheric surface layer.
- Source :
-
Quarterly Journal of the Royal Meteorological Society . Apr2014, Vol. 140 Issue 681, p1304-1314. 11p. - Publication Year :
- 2014
-
Abstract
- We perform an a priori analysis of the subfilter-scale ( SFS) conservation equations for the stably stratified atmospheric boundary layer ( ABL). Using data from the Horizontal Array Turbulence Studies ( HATS) experiment, we build on previous studies by exploring in greater detail the scale dependence of the mean and root-mean-square (r.m.s.) values of the production terms in the SFS stress and flux budgets. Our analysis shows production terms that are the dominant generation mechanisms for the SFS stresses and fluxes in conditions of under-resolved turbulence, also contribute significantly to their fluctuation levels. From the fluctuation levels of the production terms, we infer that fluctuations in terms other than the production terms (i.e. advection, transport and destruction) must be associated with strong auto-correlations or cross-correlations (with the production terms) for filter widths much finer than the length-scale for the most energetic eddies. For filter widths too coarse to resolve the most energetic eddies, we are unable either to confirm or rule out this possibility. The dominant production terms in the SFS stress budgets, upon suitable scaling, exhibit limiting values as we approach the Reynolds-averaged Navier-Stokes ( RANS) limit, i.e. when the turbulence resides entirely at the subfilter scales. The values in the RANS limit agree well with both existing analytical arguments and a previous LES study of the moderately convective ABL. The agreement between a priori and a posteriori statistics suggests consistency between the two methods is achievable in the RANS limit with the appropriate choice of scaling parameters. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00359009
- Volume :
- 140
- Issue :
- 681
- Database :
- Academic Search Index
- Journal :
- Quarterly Journal of the Royal Meteorological Society
- Publication Type :
- Academic Journal
- Accession number :
- 96442886
- Full Text :
- https://doi.org/10.1002/qj.2214