Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Geosci. Model Dev., 10, 4229-4244, 2017
https://doi.org/10.5194/gmd-10-4229-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
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 discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
SC1: 'Executive Editor Comment on "Evaluation of the wind farm parameterization in the Weather Research and Forecasting model with meteorological and turbine power data"', Astrid Kerkweg, 08 Jun 2017 Printer-friendly Version 
AC1: 'Response to Executive Editor Kerkweg's comments (SC1)', Joseph C. Y. Lee, 08 Jun 2017 Printer-friendly Version 
 
RC1: 'Missing differentiation between deviations due to WRF itself and WFP', Anonymous Referee #1, 23 Jun 2017 Printer-friendly Version 
 
RC2: 'review', Anonymous Referee #2, 17 Jul 2017 Printer-friendly Version 
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  
CC BY 4.0
Publications Copernicus
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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.
We evaluate the wind farm parameterization (WFP) in the Weather Research and Forecasting (WRF)...
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