Friction velocity estimation from the Reynold stress tensor

Versión 1.4 (961 KB) por E. Cheynet
The friction velocity is computed from sonic anemometer data without the need to correct tilt angle errors
193 Descargas
Actualizado 2 may 2020

Friction velocity calculation with Klipp's method (2018)

View Friction velocity estimate from the Reynolds stress tensor on File Exchange Buy Me A Coffee

The friction velocity is computed using a Matlab implementation of the method proposed by Klipp [1]. This method has the advantage to avoid the correction of instrument tilt by using the Reynolds stress tensor invariants. In [1], the friction velocity calculated for neutral conditions is found to be in good agreement with the standard method. Larger discrepancies are expected for non-neutral conditions or low wind speeds but produce a dimensionless shear that scales well with the non-dimensional Obukhov length. Type of application: Micrometeorology, surface layer turbulence.

Content

The present Matlab submission contains:

  • A function "frictionVelocity.m", which computes the friction velocity using the standard method or the one proposed in [1]. The latter method is more appropriate in complex terrain and a neutral atmosphere.
  • An example file "Example1.mlx" that compares the 2 methods
  • A data file "data.mat" that contains simulated wind turbulent velocity records

Reference

[1] Klipp, C. (2018). Turbulent friction velocity calculated from the Reynolds stress tensor. Journal of the Atmospheric Sciences, (2018).

Citar como

E. Cheynet (2024). Friction velocity estimation from the Reynold stress tensor (https://github.com/ECheynet/Klipp2018/releases/tag/v1.4), GitHub. Recuperado .

E. Cheynet. ECheynet/Klipp2018 v1.4. Zenodo, 2020, doi:10.5281/ZENODO.3782792.

Ver más estilos
Compatibilidad con la versión de MATLAB
Se creó con R2019b
Compatible con cualquier versión desde R2014b
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
Más información sobre Geoscience en Help Center y MATLAB Answers.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Versión Publicado Notas de la versión
1.4

See release notes for this release on GitHub: https://github.com/ECheynet/Klipp2018/releases/tag/v1.4

1.3

See release notes for this release on GitHub: https://github.com/ECheynet/Klipp2018/releases/tag/v1.3

1.2

New Example file created + modification of the main function

1.1

Added the project website

1.0.0.0

typo
Summary updated
typo
Typo in Example.m

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.