Estimation of Surface Roughness Length and Displacement Height from Single-Level Sonic Anemometer Data
Open Access
- 1 May 2000
- journal article
- Published by American Meteorological Society in Journal of Applied Meteorology and Climatology
- Vol. 39 (5) , 708-715
- https://doi.org/10.1175/1520-0450(2000)039<0708:eosrla>2.0.co;2
Abstract
The problem of finding joint values of both the roughness length z0 and the displacement height d is discussed in the context of the Monin–Obukhov similarity law for the wind speed profile. When focused on single-level datasets from one sonic anemometer (i.e., wind velocity, Reynolds stress, and sensible heat flux datasets at one height), it has been 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 function is minimized with respect to d, giving a direct estimate of d, z0, and their statistical uncertainty. The scheme is tested against two datasets in homogeneous and nonhomogeneous surface conditions. Abstract The problem of finding joint values of both the roughness length z0 and the displacement height d is discussed in the context of the Monin–Obukhov similarity law for the wind speed profile. When focused on single-level datasets from one sonic anemometer (i.e., wind velocity, Reynolds stress, and sensible heat flux datasets at one height), it has been 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 function is minimized with respect to d, giving a direct estimate of d, z0, and their statistical uncertainty. The scheme is tested against two datasets in homogeneous and nonhomogeneous surface conditions.Keywords
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