Articles | Volume 6, issue 6
Wind Energ. Sci., 6, 1473–1490, 2021
https://doi.org/10.5194/wes-6-1473-2021
Wind Energ. Sci., 6, 1473–1490, 2021
https://doi.org/10.5194/wes-6-1473-2021

Research article 16 Nov 2021

Research article | 16 Nov 2021

Seasonal effects in the long-term correction of short-term wind measurements using reanalysis data

Alexander Basse et al.

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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-2020-134', Anonymous Referee #1, 16 Mar 2021
    • AC1: 'Reply on RC1', Alexander Basse, 25 Jun 2021
  • RC2: 'Comment on wes-2020-134', Anonymous Referee #2, 18 May 2021
    • AC2: 'Reply on RC2', Alexander Basse, 25 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Alexander Basse on behalf of the Authors (25 Jun 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (15 Jul 2021) by Sara C. Pryor
RR by Anonymous Referee #2 (26 Jul 2021)
RR by Anonymous Referee #1 (07 Sep 2021)
ED: Publish subject to minor revisions (review by editor) (17 Sep 2021) by Sara C. Pryor
AR by Alexander Basse on behalf of the Authors (07 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (18 Oct 2021) by Sara C. Pryor
ED: Publish as is (19 Oct 2021) by Gerard J.W. van Bussel(Chief Editor)
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Short summary
This study investigates systematic, seasonal biases in the long-term correction of short-term wind measurements (< 1 year). Two popular measure–correlate–predict (MCP) methods yield remarkably different results. Six reanalysis data sets serve as long-term data. Besides experimental results, theoretical findings are presented which link the mechanics of the methods and the properties of the reanalysis data sets to the observations. Finally, recommendations for wind park planners are derived.