Preprints
https://doi.org/10.5194/wes-2022-20
https://doi.org/10.5194/wes-2022-20
 
14 Mar 2022
14 Mar 2022
Status: this preprint is currently under review for the journal WES.

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

Sebastian Brune1 and Jan D. Keller1,2 Sebastian Brune and Jan D. Keller
  • 1Deutscher Wetterdienst, Offenbach, Germany
  • 2Hans-Ertel-Centre for Weather Research, Climate Monitoring and Diagnostics, Germany

Abstract. The correct representation of wind speeds at hub height (e.g., 100 m above ground) is becoming more and more important with respect to the expansion of renewable energy. In this study, 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 help of a diagnostic wind model, which reduces the horizontal grid point spacing by a factor of eight compared to COSMO-REA6 and considers different vertical atmospheric stabilities.

In the second step, a statistical correction is performed using a neural network as well as a generalized linear model based on different variables of the reanalysis. Although only few measurements by masts or lidars are available at hub height, an improvement of the wind speed in the RMSE of almost 30 % can be achieved. A final comparison with radiosonde observations confirms the added value of combining the physical and statistical approach in post-processing the wind speed.

Sebastian Brune and Jan D. Keller

Status: open (extended)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2022-20', Michael Mifsud, 12 Apr 2022 reply

Sebastian Brune and Jan D. Keller

Sebastian Brune and Jan D. Keller

Viewed

Total article views: 241 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
177 59 5 241 2 2
  • HTML: 177
  • PDF: 59
  • XML: 5
  • Total: 241
  • BibTeX: 2
  • EndNote: 2
Views and downloads (calculated since 14 Mar 2022)
Cumulative views and downloads (calculated since 14 Mar 2022)

Viewed (geographical distribution)

Total article views: 233 (including HTML, PDF, and XML) Thereof 233 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 May 2022
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 help of a diagnostic wind model, which reduces the horizontal grid point spacing by a factor of eight. 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.