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Volume 10, issue 11 | Copyright
Geosci. Model Dev., 10, 4229-4244, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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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Cited articles
Abkar, M. and Porté-Agel, F.: A new wind-farm parameterization for large-scale atmospheric models, Journal of Renewable and Sustainable Energy, 7, 13121,, 2015a.
Abkar, M. and Porté-Agel, F.: Influence of atmospheric stability on wind-turbine wakes: A large-eddy simulation study, Phys. Fluids, 27, 35104,, 2015b.
Aitken, M. L., Kosović, B., Mirocha, J. D., and Lundquist, J. K.: Large eddy simulation of wind turbine wake dynamics in the stable boundary layer using the Weather Research and Forecasting model, Journal of Renewable and Sustainable Energy, 6, 33137,, 2014.
Baidya Roy, S.: Simulating impacts of wind farms on local hydrometeorology, J. Wind Eng. Ind. Aerod., 99, 491–498,, 2011.
Barrie, D. B. and Kirk-Davidoff, D. B.: Weather response to a large wind turbine array, Atmos. Chem. Phys., 10, 769–775,, 2010.
Publications Copernicus
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)...