Skip to main content
Log in

Comment on “Dynamical Implications of Block Averaging” by G. Treviño and E.L Andreas

  • Commentary
  • Published:
Boundary-Layer Meteorology Aims and scope Submit manuscript

Abstract

A 2006 article in Boundary-Layer Meteorology by G. Treviño and E.L Andreas presents a derivation that questions the use of time averaging for computing turbulence statistics. Their derivation shows that time averaging over a finite interval always leads to a zero integral time scale. As a result, Treviño and Andreas argue that any turbulence quantities derived from time averaging are tainted and incompatible with the Navier–Stokes equations. While Treviño and Andreas are correct that time averaging does produce integral scales that are quite different from what researchers commonly expect, this comment demonstrates that the theoretical implications are not as dire as they claim.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Arya SP (1999). Air pollution meteorology and dispersion. Oxford University Press, New York, 310 pp

    Google Scholar 

  • Batchelor GK (1949). Diffusion in a field of homogeneous turbulence I. Eulerian analysis. Aust J Sci Res 2: 437–450

    Google Scholar 

  • Chatfield C (2003). The analysis of time series: an introduction, 6th edn. Chapman & Hall/CRC, Boca Raton, 352 pp

    Google Scholar 

  • Comte-Bellot G and Corrsin S (1971). Simple Eulerian time correlation of full- and narrow-band velocity signals in grid-generated ‘isotropic’ turbulence. J Fluid Mech 48: 273–337

    Article  Google Scholar 

  • Lenschow DH, Mann J and Kristensen L (1994). How long is long enough when measuring fluxes and other turbulence statistics? J Atmos Ocean Technol 11: 661–673

    Article  Google Scholar 

  • Lumley JL and Panofsky HA (1964). The structure of atmospheric turbulence. Wiley-Interscience, New York, 239

    Google Scholar 

  • Mahrt L (1998). Flux sampling errors for aircraft and towers. J Atmos Ocean Technol 15: 416–429

    Article  Google Scholar 

  • Monin AS and Yaglom AM (1971). Statistical fluid mechanics: mechanics of turbulence, vol 1. The MIT Press, Cambridge, 769 pp

    Google Scholar 

  • Press WH, Teukolsky SA, Vetterling WT and Falnnery BP (1992). Numerical recipies in C, the art of scientific computing, 2nd edn. Cambridge University Press, New York, 994 pp

    Google Scholar 

  • Tennekes H and Lumley JL (1972). A first course in turbulence. The MIT Press, Cambridge, 300 pp

    Google Scholar 

  • Treviño G and Andreas EL (2006). Dynamical implications of block averaging. Boundary-Layer Meteorol 120: 497–508

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Richard M. Eckman.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Eckman, R.M. Comment on “Dynamical Implications of Block Averaging” by G. Treviño and E.L Andreas. Boundary-Layer Meteorol 127, 345–351 (2008). https://doi.org/10.1007/s10546-008-9263-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10546-008-9263-4

Keywords

Navigation