Articles | Volume 7, issue 5
https://doi.org/10.5194/wes-7-2085-2022
https://doi.org/10.5194/wes-7-2085-2022
Research article
 | 
21 Oct 2022
Research article |  | 21 Oct 2022

The sensitivity of the Fitch wind farm parameterization to a three-dimensional planetary boundary layer scheme

Alex Rybchuk, Timothy W. Juliano, Julie K. Lundquist, David Rosencrans, Nicola Bodini, and Mike Optis

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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-2021-127', Anonymous Referee #1, 12 Dec 2021
    • AC1: 'Reply on RC1', Alex Rybchuk, 03 Mar 2022
  • RC2: 'Comment on wes-2021-127', Anonymous Referee #2, 16 Jan 2022
    • AC2: 'Reply on RC2', Alex Rybchuk, 03 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Alex Rybchuk on behalf of the Authors (04 Mar 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (13 Mar 2022) by Andrea Hahmann
RR by Anonymous Referee #1 (08 Apr 2022)
RR by Anonymous Referee #2 (29 Apr 2022)
ED: Reconsider after major revisions (15 May 2022) by Andrea Hahmann
AR by Alex Rybchuk on behalf of the Authors (07 Jul 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (17 Jul 2022) by Andrea Hahmann
RR by Anonymous Referee #1 (08 Aug 2022)
ED: Publish subject to minor revisions (review by editor) (16 Aug 2022) by Andrea Hahmann
AR by Alex Rybchuk on behalf of the Authors (22 Aug 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (02 Sep 2022) by Andrea Hahmann
ED: Publish as is (26 Sep 2022) by Joachim Peinke (Chief editor)
AR by Alex Rybchuk on behalf of the Authors (05 Oct 2022)
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Short summary
Numerical weather prediction models are used to predict how wind turbines will interact with the atmosphere. Here, we characterize the uncertainty associated with the choice of turbulence parameterization on modeled wakes. We find that simulated wind speed deficits in turbine wakes can be significantly sensitive to the choice of turbulence parameterization. As such, predictions of future generated power are also sensitive to turbulence parameterization choice.
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