File Exchange

image thumbnail

Sonic anemometer tilt correction algorithm

version 3.2.2 (1.21 MB) by E. Cheynet
The 3 wind components are retrieved from a tilted anemometer using 3 different algorithms


Updated 29 Jun 2020

GitHub view license on GitHub

The present submission includes some algorithm to correct tilt angle errors from sonic anemometers, including the method by Wilczak et al. [1]. Other methods are the double and triple rotation algorithm.

The present submission contains :

- 4 example files: one for the planar fit algorithm, one for the double rotation, one for the triple rotation and one for the estimation of the friction velocity with the different retrieval algorithms.
- The function tiltCorrection.m

- The function friction_velocity.m

- the file data.mat that includes simulated wind data

Any comment, question or suggestion to improve the algorithm is warmly welcomed.


[1] Wilczak, J. M., Oncley, S. P., & Stage, S. A. (2001). Sonic anemometer tilt correction algorithms. Boundary-Layer Meteorology, 99(1), 127-150.

Cite As

E. Cheynet (2020). Sonic anemometer tilt correction algorithm (, GitHub. Retrieved .

Comments and Ratings (0)



See release notes for this release on GitHub:


See release notes for this release on GitHub:


Added project website

Updated Matlab release compatibility

Description updated

Live script examples are now used

Added the file data.mat for the examples

Added an option to account for possible measurement bias (the coefficient 'b0'). The option is written as: tiltCorretion(...,"Err",1) (account for possible bias) or tiltCorretion(...,"Err",0) (ignore possible bias) - >Thank Astrid for the remark


typos + minor bug in rot2 and rot3

Additional and more detailed examples; the double and triple rotations are included; minor bug corrected.


MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
Windows macOS Linux