Fitting the Uniform Shear Model to real data
Updated Tue, 28 Apr 2020 17:03:50 +0000
The parameters of the Uniform Shear Model  are estimated in the least-square sense
The function "fitMann" is used to estimate the parameters of the uniform shear model  in the least-square sense. As an example, the fitting algorithm is applied to the Great Belt dataset used by Mann  and the Kaimal spectral model [2,3]. The present Matlab implementation was applied for offshore wind data .
The submission contains:
- the function fitMann.m
- An interactive example file Example.mlx
- a data file greatbeltData that contains digitalized spectral estimate from the Great belt experiment
- The function mannTurb.m introduced in 
Any comment, suggestion or question is welcomed.
 Mann, J. (1994). The spatial structure of neutral atmospheric surface-layer turbulence. Journal of fluid mechanics, 273, 141-168.
 Kaimal, J. C., Wyngaard, J. C. J., Izumi, Y., & Coté, O. R. (1972). Spectral characteristics of surface‐layer turbulence. Quarterly Journal of the Royal Meteorological Society, 98(417), 563-589.
 Mann, J. (1998). Wind field simulation. Probabilistic engineering mechanics, 13(4), 269-282.
 Cheynet, E. (2019). Influence of the Measurement Height on the Vertical Coherence of Natural Wind. In Conference of the Italian Association for Wind Engineering (pp. 207-221). Springer, Cham.
E. Cheynet (2022). Fitting the Uniform Shear Model to real data (https://github.com/ECheynet/fitMann1994/releases/tag/1.3), GitHub. Retrieved .
E. Cheynet. ECheynet/fitMann1994 1.3. Zenodo, 2020, doi:10.5281/ZENODO.3774088.
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Inspired by: Numerical implementation of the uniform shear model
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