Wind Energy Science
Wind Energy Science
WES
Articles | Volume 7, issue 5
Articles | Volume 7, issue 5
https://doi.org/10.5194/wes-7-1905-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-1905-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 5
Research article
 | 
16 Sep 2022
Research article |  | 16 Sep 2022

Statistical post-processing of reanalysis wind speeds at hub heights using a diagnostic wind model and neural networks

Sebastian Brune and Jan D. Keller

Viewed

Total article views: 2,097 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,368 662 67 2,097 79 95
  • HTML: 1,368
  • PDF: 662
  • XML: 67
  • Total: 2,097
  • BibTeX: 79
  • EndNote: 95
Views and downloads (calculated since 14 Mar 2022)
Cumulative views and downloads (calculated since 14 Mar 2022)

Viewed (geographical distribution)

Total article views: 2,097 (including HTML, PDF, and XML) Thereof 2,047 with geography defined and 50 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Nov 2025
Download
Short summary
A post-processing of the wind speed of the regional reanalysis COSMO-REA6 in Central Europe is performed based on a combined physical and statistical approach. The physical basis is provided by downscaling wind speeds with the help of a diagnostic wind model, which reduces the horizontal grid point spacing by a factor of 8. The statistical correction using a neural network based on different variables of the reanalysis leads to an improvement of 30 % in RMSE compared to COSMO-REA6.
Read more
Share
Altmetrics
Final-revised paper
Preprint