Articles | Volume 6, issue 3
https://doi.org/10.5194/wes-6-935-2021
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, Nicola Bodini, Mithu Debnath, and Paula Doubrawa

Viewed

Total article views: 3,605 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,234 1,302 69 3,605 73 46
  • HTML: 2,234
  • PDF: 1,302
  • XML: 69
  • Total: 3,605
  • BibTeX: 73
  • EndNote: 46
Views and downloads (calculated since 27 Jan 2021)
Cumulative views and downloads (calculated since 27 Jan 2021)

Viewed (geographical distribution)

Total article views: 3,605 (including HTML, PDF, and XML) Thereof 3,511 with geography defined and 94 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 05 Oct 2024
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.
Altmetrics
Final-revised paper
Preprint