Articles | Volume 7, issue 5
Wind Energ. Sci., 7, 1905–1918, 2022
https://doi.org/10.5194/wes-7-1905-2022
Wind Energ. Sci., 7, 1905–1918, 2022
https://doi.org/10.5194/wes-7-1905-2022
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

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Interactive discussion

Status: closed

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
  • RC2: 'Comment on wes-2022-20', Anonymous Referee #2, 24 Jun 2022
  • AC1: 'Comment on wes-2022-20', Sebastian Brune, 21 Jul 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Sebastian Brune on behalf of the Authors (21 Jul 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (21 Jul 2022) by Rebecca Barthelmie
RR by Michael Mifsud (11 Aug 2022)
ED: Publish as is (12 Aug 2022) by Rebecca Barthelmie
ED: Publish as is (12 Aug 2022) by Jakob Mann(Chief Editor)
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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.