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


Total article views: 2,233 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,606 575 52 2,233 44 50
  • HTML: 1,606
  • PDF: 575
  • XML: 52
  • Total: 2,233
  • BibTeX: 44
  • EndNote: 50
Views and downloads (calculated since 04 May 2022)
Cumulative views and downloads (calculated since 04 May 2022)

Viewed (geographical distribution)

Total article views: 2,233 (including HTML, PDF, and XML) Thereof 2,094 with geography defined and 139 with unknown origin.
Country # Views %
  • 1


Latest update: 18 Jul 2024
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.
Final-revised paper