Articles | Volume 7, issue 6
https://doi.org/10.5194/wes-7-2407-2022
https://doi.org/10.5194/wes-7-2407-2022
Research article
 | 
09 Dec 2022
Research article |  | 09 Dec 2022

The Jensen wind farm parameterization

Yulong Ma, Cristina L. Archer, and Ahmadreza Vasel-Be-Hagh

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Cristina Archer on behalf of the Authors (21 Jun 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (17 Jul 2022) by Andrea Hahmann
RR by Paul van der Laan (29 Jul 2022)
RR by Andrea Hahmann (02 Oct 2022)
ED: Publish subject to minor revisions (review by editor) (02 Oct 2022) by Andrea Hahmann
AR by Cristina Archer on behalf of the Authors (28 Oct 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (31 Oct 2022) by Andrea Hahmann
ED: Publish as is (05 Nov 2022) by Jakob Mann (Chief editor)
AR by Cristina Archer on behalf of the Authors (09 Nov 2022)  Author's response   Manuscript 
Download
Short summary
Wind turbine wakes are important because they reduce the power production of wind farms and may cause unintended impacts on the weather around wind farms. Weather prediction models, like WRF and MPAS, are often used to predict both power and impacts of wind farms, but they lack an accurate treatment of wind farm wakes. We developed the Jensen wind farm parameterization, based on the existing Jensen model of an idealized wake. The Jensen parameterization is accurate and computationally efficient.
Altmetrics
Final-revised paper
Preprint