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Journal article

Estimation of the Lagrangian structure function constant ¤C¤0 from surface-layer wind data

From

Meteorology, Wind Energy Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark1

Wind Energy Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark2

Risø National Laboratory for Sustainable Energy, Technical University of Denmark3

Eulerian turbulence observations, made in the surface layer under unstable conditions (z/L > 0), by a sonic anemometer were used to estimate the Lagrangian structure function constant C(0). Two methods were considered. The first one makes use of a relationship, widely used in the Lagrangian stochastic dispersion models, relating C(0) to the turbulent kinetic energy dissipation rate epsilon, wind velocity variance and Lagrangian decorrelation time.

The second one employs a novel equation, connecting C(0) to the constant of the second-order Eulerian structure function. Before estimating C(0), the measurements were processed in order to discard non-stationary cases at least to a first approximation and cases in which local isotropy could not be assumed.

The dissipation epsilon was estimated either from the best fit of the energy spectrum in the inertial subrange or from the best fit of the third-order longitudinal Eulerian structure function. The first method was preferred and applied to the subsequent part of the analysis. Both methods predict the partitioning of C(0) in different spatial components as a consequence of the directional dependence of the Eulerian correlation functions due to the isotropy.

The C(0) values computed by both methods are presented and discussed. In conclusion, both methods provide realistic estimates of C(0) that compare well with previous estimations reported in the literature, even if a preference is to be attributed to the second method.

Language: English
Publisher: Kluwer Academic Publishers
Year: 2000
Pages: 249-270
ISSN: 15731472 and 00068314
Types: Journal article
DOI: 10.1023/A:1002697221093
ORCIDs: Gryning, Sven-Erik

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