Articles | Volume 6, issue 3
Wind Energ. Sci., 6, 935–948, 2021
https://doi.org/10.5194/wes-6-935-2021
Wind Energ. Sci., 6, 935–948, 2021
https://doi.org/10.5194/wes-6-935-2021
Research article
16 Jun 2021
Research article | 16 Jun 2021

New methods to improve the vertical extrapolation of near-surface offshore wind speeds

Mike Optis et al.

Viewed

Total article views: 1,885 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,134 724 27 1,885 24 15
  • HTML: 1,134
  • PDF: 724
  • XML: 27
  • Total: 1,885
  • BibTeX: 24
  • EndNote: 15
Views and downloads (calculated since 27 Jan 2021)
Cumulative views and downloads (calculated since 27 Jan 2021)

Viewed (geographical distribution)

Total article views: 1,839 (including HTML, PDF, and XML) Thereof 1,836 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Jun 2022
Download
Short summary
Offshore wind turbines are huge, with rotor blades soon to extend up to nearly 300 m. Accurate modeling of winds across these heights is crucial for accurate estimates of energy production. However, we lack sufficient observations at these heights but have plenty of near-surface observations. Here we show that a basic machine-learning model can provide very accurate estimates of winds in this area, and much better than conventional techniques.