Wind Energy Science
Wind Energy Science
WES
Articles | Volume 7, issue 6
Articles | Volume 7, issue 6
https://doi.org/10.5194/wes-7-2255-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-2255-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 6
Research article
 | 
22 Nov 2022
Research article |  | 22 Nov 2022

Evaluating the mesoscale spatio-temporal variability in simulated wind speed time series over northern Europe

Graziela Luzia, Andrea N. Hahmann, and Matti Juhani Koivisto

Viewed

Total article views: 3,327 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,322 917 88 3,327 116 151
  • HTML: 2,322
  • PDF: 917
  • XML: 88
  • Total: 3,327
  • BibTeX: 116
  • EndNote: 151
Views and downloads (calculated since 04 May 2022)
Cumulative views and downloads (calculated since 04 May 2022)

Viewed (geographical distribution)

Total article views: 3,327 (including HTML, PDF, and XML) Thereof 3,166 with geography defined and 161 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Jan 2026
Download
Short summary
This paper presents a comprehensive validation of time series produced by a mesoscale numerical weather model, a global reanalysis, and a wind atlas against observations by using a set of metrics that we present as requirements for wind energy integration studies. We perform a sensitivity analysis on the numerical weather model in multiple configurations, such as related to model grid spacing and nesting arrangements, to define the model setup that outperforms in various time series aspects.
Read more
Share
Altmetrics
Final-revised paper
Preprint