Wind Energy Science
Wind Energy Science
WES
Articles | Volume 11, issue 1
Articles | Volume 11, issue 1
https://doi.org/10.5194/wes-11-217-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-217-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 1
Research article
 | 
19 Jan 2026
Research article |  | 19 Jan 2026

Determining the ideal length of wind speed series for wind speed distribution and resource assessment

Lihong Zhou and Igor Esau

Viewed

Total article views: 2,893 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,790 973 130 2,893 283 129 189
  • HTML: 1,790
  • PDF: 973
  • XML: 130
  • Total: 2,893
  • Supplement: 283
  • BibTeX: 129
  • EndNote: 189
Views and downloads (calculated since 27 Feb 2025)
Cumulative views and downloads (calculated since 27 Feb 2025)

Viewed (geographical distribution)

Total article views: 2,893 (including HTML, PDF, and XML) Thereof 2,775 with geography defined and 118 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 05 Oct 2026
Download
Short summary
How much hourly wind data are enough for reliable resource assessment? Using long-term station records and reconstructed datasets, we test sample sizes and sampling strategies. Means, variability, and Weibull scale converge within a sample size of 1 month of hours, but distribution shape needs far more. Random cross-year sampling reaches a given accuracy with far less data than continuous sampling.
Read more
Share
Altmetrics
Final-revised paper
Preprint