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

Liu, Ye; Qian, Yun; Berg, Larry K.

doi:https://doi.org/10.5194/wes-7-37-2022

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

Data sets

wfip2.model/casestudy.wrf.01.seabreeze.01 Y. Liu, Y. Qian, and L. K. Berg https://doi.org/10.21947/1819819

wfip2.model/casestudy.wrf.02.seabreeze.02 Y. Liu, Y. Qian, and L. K. Berg https://doi.org/10.21947/1819820

wfip2.model/casestudy.wrf.01.coldfront.01 Y. Liu, Y. Qian, and L. K. Berg https://doi.org/10.21947/1819817

wfip2.model/casestudy.wrf.02.coldfront.02 Y. Liu, Y. Qian, and L. K. Berg https://doi.org/10.21947/1819818

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.