Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 3
Articles | Volume 15, issue 3
https://doi.org/10.5194/amt-15-757-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-757-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 3
Research article
 | 
10 Feb 2022
Research article |  | 10 Feb 2022

Estimating vertical wind power density using tower observation and empirical models over varied desert steppe terrain in northern China

Shaohui Zhou, Yuanjian Yang, Zhiqiu Gao, Xingya Xi, Zexia Duan, and Yubin Li

Viewed

Total article views: 3,995 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,313 1,571 111 3,995 147 164
  • HTML: 2,313
  • PDF: 1,571
  • XML: 111
  • Total: 3,995
  • BibTeX: 147
  • EndNote: 164
Views and downloads (calculated since 01 Dec 2021)
Cumulative views and downloads (calculated since 01 Dec 2021)

Viewed (geographical distribution)

Total article views: 3,995 (including HTML, PDF, and XML) Thereof 3,932 with geography defined and 63 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 30 Apr 2026
Download
Short summary
Our research has determined the possible relationship between Weibull natural wind mesoscale parameter c and shape factor k with height under the conditions of a desert steppe terrain in northern China, which has great potential in wind power generation. We have gained an enhanced understanding of the seasonal changes in the surface roughness of the desert grassland and the changes in the incoming wind direction.
Read more
Share