Ogive function for turbulent flux characterization

Version 1.2 (803 KB) by E. Cheynet
A simple example of the computation and fitting of the ogive function for atmospheric turbulence
Updated 12 Aug 2022

Ogive function for turbulent flux characterization

View Ogive function for turbulent flux characterization on File Exchange Donation


One method to compute the friction velocity knowing the along-wind and vertical turbulence components relies on the ogive function. For turbulence modelling, it is useful to ensure that the simulation duration is long enough to reduce the random error and to include all turbulent ranges.

The present submission implements a simple ogive function model based on the semi-empirical model proposed by Kaimal et al. [1]. In the example file, it is fitted in the least square sense to the ogive function computed with simulated data. The output of the fitting is an estimate of the friction velocity.


The submission contains:

• The function ogiveFun.m computes the ogive from the cospectral estimate.

• The function fitOgive.m that fits the analytical ogive model to the one estimated with the function ogiveFun.m.

• A data file data.m containing time series of u and w

• An interactive example file Example.mlx

Any question or suggestion or comment is welcomed.


[1] 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.

Cite As

E. Cheynet. Ogive Function for Turbulent Flux Characterization. Zenodo, 2022, doi:10.5281/ZENODO.6985183.

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MATLAB Release Compatibility
Created with R2018b
Compatible with R2018b and later releases
Platform Compatibility
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Version Published Release Notes

See release notes for this release on GitHub: https://github.com/ECheynet/fitOgive/releases/tag/v1.2




New example added


To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.