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

Lee, Joseph C. Y.; Lundquist, Julie K.

doi:https://doi.org/10.5194/gmd-10-4229-2017

Articles | Volume 10, issue 11

https://doi.org/10.5194/gmd-10-4229-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-10-4229-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 11

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

Model code and software

The Weather Research and Forecasting Model (Version 3) W. C. Skamarock, J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, M. G Duda, X.-Y. Huang, W. Wang, and J. G. Powers https://doi.org/10.5065/D6MK6B4K

PSU Generic 1.5-MW Turbine S. Schmitz https://doi.org/10.13140/RG.2.2.22492.18567

The WRF Wind Farm Parameterization User Input J. C. Y. Lee and J. K. Lundquist https://doi.org/10.5281/zenodo.847780

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.