Friction velocity estimation from the Reynold stress tensor

版本 1.4 (961.0 KB) 作者: E. Cheynet
The friction velocity is computed from sonic anemometer data without the need to correct tilt angle errors
184.0 次下载
更新时间 2020/5/2

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).

引用格式

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

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

查看更多格式
MATLAB 版本兼容性
创建方式 R2019b
与 R2014b 及更高版本兼容
平台兼容性
Windows macOS Linux
类别
Help CenterMATLAB Answers 中查找有关 Earth, Ocean, and Atmospheric Sciences 的更多信息

Community Treasure Hunt

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

Start Hunting!
版本 已发布 发行说明
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

要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库