Wind Energy Science
Wind Energy Science
WES
Articles | Volume 7, issue 5
Articles | Volume 7, issue 5
https://doi.org/10.5194/wes-7-1869-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-1869-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 5
Research article
 | 
13 Sep 2022
Research article |  | 13 Sep 2022

Sensitivity analysis of mesoscale simulations to physics parameterizations over the Belgian North Sea using Weather Research and Forecasting – Advanced Research WRF (WRF-ARW)

Adithya Vemuri, Sophia Buckingham, Wim Munters, Jan Helsen, and Jeroen van Beeck

Viewed

Total article views: 2,365 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,627 677 61 2,365 57 46
  • HTML: 1,627
  • PDF: 677
  • XML: 61
  • Total: 2,365
  • BibTeX: 57
  • EndNote: 46
Views and downloads (calculated since 21 Dec 2021)
Cumulative views and downloads (calculated since 21 Dec 2021)

Viewed (geographical distribution)

Total article views: 2,365 (including HTML, PDF, and XML) Thereof 2,287 with geography defined and 78 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Apr 2025
Download
Short summary
The sensitivity of the WRF mesoscale modeling framework in accurately representing and predicting wind-farm-level environmental variables for three extreme weather events over the Belgian North Sea is investigated in this study. The overall results indicate highly sensitive simulation results to the type and combination of physics parameterizations and the type of the weather phenomena, with indications that scale-aware physics parameterizations better reproduce wind-related variables.
Read more
Share
Altmetrics
Final-revised paper
Preprint