Simple estimation of surface roughness parameters from single level sonic anemometer data

Authors

  • Paolo Martano Institute ISIAtA of Consiglio Nazionale delle Ricerche - CNR, via Monteroni, 73100, Lecce.

DOI:

https://doi.org/10.5902/2179460X36914

Abstract

The estimation of joint values of both the roughness length z0 and the displacement height d is considered in the context of the MoninObukhov similarity law for the windspeed profile. When focused on single level data sets from one sonic anemometer (i.e. wind velocity, Reynolds stress and sensible heat flux data sets at one height), it is shown that this problem can be reduced to a simpler least squares procedure for one variable only. This procedure is carried out over a proper function of the data, representing the relative uncertainty of the roughness length, σz0/z0. This is minimized with respect to d, giving a direct estimate of d, z0, and their statistical uncertainty. The scheme is tested against a field-experiment data set.

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References

Cassardo C., D. Sacchetti , M.G. Morselli, D. Anfossi, G. Brusasca and A. Longhetto, 1995: A study of the assessment of air temperature and sensible-heat and latent-heat fluxes from sonic anemometer observations. Il Nuovo Cimento C, 4, 419-440.

Garratt J.R.,1992: The Atmospheric Boundary Layer. Cambridge University Press, 316 pp.

McMillen R.T.,1988: An eddy correlation tecnique with extended applicability to non-simple terrain. Bound.-Layer Meteor., 43, 231-245.

Panofsky H.A.and J.A. Dutton, 1984: Atmospheric Turbulence. John Wiley & Sons, New York, 397 pp.

Sozzi R., M. Favaron, T.Georgiadis, 1998: Method for the estimation of surface roughness and similarity function of wind speed vertical profile. J. Appl. Meteor., 37, 461-469.

Wieringa J.,1993: Representative roughness parameters for homogeneous terrain. Bound.-Layer Meteor. 63, 323-363.

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Published

2000-01-14

How to Cite

Martano, P. (2000). Simple estimation of surface roughness parameters from single level sonic anemometer data. Ciência E Natura, 183–194. https://doi.org/10.5902/2179460X36914