Articles | Volume 7, issue 2
https://doi.org/10.5194/wes-7-487-2022
https://doi.org/10.5194/wes-7-487-2022
Research article
 | 
08 Mar 2022
Research article |  | 08 Mar 2022

Can reanalysis products outperform mesoscale numerical weather prediction models in modeling the wind resource in simple terrain?

Vincent Pronk, Nicola Bodini, Mike Optis, Julie K. Lundquist, Patrick Moriarty, Caroline Draxl, Avi Purkayastha, and Ethan Young

Viewed

Total article views: 2,470 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,776 635 59 2,470 186 41 34
  • HTML: 1,776
  • PDF: 635
  • XML: 59
  • Total: 2,470
  • Supplement: 186
  • BibTeX: 41
  • EndNote: 34
Views and downloads (calculated since 13 Sep 2021)
Cumulative views and downloads (calculated since 13 Sep 2021)

Viewed (geographical distribution)

Total article views: 2,470 (including HTML, PDF, and XML) Thereof 2,395 with geography defined and 75 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Jul 2024
Download
Short summary
In this paper, we have assessed to which extent mesoscale numerical weather prediction models are more accurate than state-of-the-art reanalysis products in characterizing the wind resource at heights of interest for wind energy. The conclusions of our work will be of primary importance to the wind industry for recommending the best data sources for wind resource modeling.
Altmetrics
Final-revised paper
Preprint