Articles | Volume 7, issue 6
https://doi.org/10.5194/wes-7-2255-2022
https://doi.org/10.5194/wes-7-2255-2022
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: 2,378 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,716 602 60 2,378 51 57
  • HTML: 1,716
  • PDF: 602
  • XML: 60
  • Total: 2,378
  • BibTeX: 51
  • EndNote: 57
Views and downloads (calculated since 04 May 2022)
Cumulative views and downloads (calculated since 04 May 2022)

Viewed (geographical distribution)

Total article views: 2,378 (including HTML, PDF, and XML) Thereof 2,234 with geography defined and 144 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 06 Oct 2024
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.
Altmetrics
Final-revised paper
Preprint