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  and simultaneously fit the three parameters of the uniform shear model.
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 
This is the first version of the submission. Several changes may occur soon. 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 (2019). Fitting the Uniform Shear Model to real data (https://www.mathworks.com/matlabcentral/fileexchange/73126-fitting-the-uniform-shear-model-to-real-data), MATLAB Central File Exchange. Retrieved .
Correction of typographical mistakes
Example file updated
Inspired by: Uniform shear model (Mann, 1994)