Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
Volume 10, issue 11 | Copyright
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

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
Viewed
Total article views: 1,110 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
739 349 22 1,110 22 34
  • HTML: 739
  • PDF: 349
  • XML: 22
  • Total: 1,110
  • BibTeX: 22
  • EndNote: 34
Views and downloads (calculated since 08 Jun 2017)
Cumulative views and downloads (calculated since 08 Jun 2017)
Viewed (geographical distribution)
Total article views: 1,109 (including HTML, PDF, and XML) Thereof 1,098 with geography defined and 11 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited
Saved (final revised paper)
No saved metrics found.
Saved (discussion paper)
No saved metrics found.
Discussed (final revised paper)
No discussed metrics found.
Discussed (discussion paper)
No discussed metrics found.
Latest update: 18 Jul 2018
Publications Copernicus
Download
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)...
Citation
Share