Wind Energy Science
Wind Energy Science
WES
Articles | Volume 7, issue 1
Articles | Volume 7, issue 1
https://doi.org/10.5194/wes-7-37-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-37-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 1
Research article
 | 
19 Jan 2022
Research article |  | 19 Jan 2022

Local-thermal-gradient and large-scale-circulation impacts on turbine-height wind speed forecasting over the Columbia River Basin

Ye Liu, Yun Qian, and Larry K. Berg

Viewed

Total article views: 1,671 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,082 521 68 1,671 44 49
  • HTML: 1,082
  • PDF: 521
  • XML: 68
  • Total: 1,671
  • BibTeX: 44
  • EndNote: 49
Views and downloads (calculated since 23 Sep 2021)
Cumulative views and downloads (calculated since 23 Sep 2021)

Viewed (geographical distribution)

Total article views: 1,671 (including HTML, PDF, and XML) Thereof 1,615 with geography defined and 56 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2025
Download
Short summary
Uncertainties in initial conditions (ICs) decrease the accuracy of wind speed forecasts. We find that IC uncertainties can alter wind speed by modulating the weather system. IC uncertainties in local thermal gradient and large-scale circulation jointly contribute to wind speed forecast uncertainties. Wind forecast accuracy in the Columbia River Basin is confined by initial uncertainties in a few specific regions, providing useful information for more intense measurement and modeling studies.
Read more
Share
Altmetrics
Final-revised paper
Preprint