Articles | Volume 10, issue 11
Geosci. Model Dev., 10, 4229–4244, 2017
https://doi.org/10.5194/gmd-10-4229-2017
Geosci. Model Dev., 10, 4229–4244, 2017
https://doi.org/10.5194/gmd-10-4229-2017

Model evaluation paper 23 Nov 2017

Model evaluation paper | 23 Nov 2017

Evaluation of the wind farm parameterization in the Weather Research and Forecasting model (version 3.8.1) with meteorological and turbine power data

Joseph C. Y. Lee and Julie K. Lundquist

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Joseph C. Y. Lee on behalf of the Authors (07 Sep 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Sep 2017) by Simon Unterstrasser
RR by Anonymous Referee #1 (11 Sep 2017)
RR by Anonymous Referee #2 (20 Sep 2017)
ED: Publish subject to minor revisions (Editor review) (21 Sep 2017) by Simon Unterstrasser
AR by Joseph C. Y. Lee on behalf of the Authors (22 Sep 2017)  Author's response    Manuscript
ED: Publish as is (04 Oct 2017) by Simon Unterstrasser
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Short summary
We evaluate the wind farm parameterization (WFP) in the Weather Research and Forecasting (WRF) model, a powerful tool to simulate wind farms and their meteorological impacts numerically. In our case study, the WFP simulations with fine vertical grid resolution are skilful in matching the observed winds and the actual power productions. Moreover, the WFP tends to underestimate power in windy conditions. We also illustrate that the modeled wind speed is a critical determinant to improve the WFP.