Evaluation of a high-resolution regional climate simulation for surface and hub-height wind climatology over North America

Peco, Kyle; Wang, Jiali; Jung, Chunyong; Sever, Gökhan; Sheridan, Lindsay; Feinstein, Jeremy; Kotamarthi, Rao; Draxl, Caroline; Young, Ethan; Purkayastha, Avi; Kumler, Andrew

doi:10.5194/wes-11-13-2026

Articles | Volume 11, issue 1

https://doi.org/10.5194/wes-11-13-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-11-13-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 1

Research article

|

07 Jan 2026

Research article |

| 07 Jan 2026

Evaluation of a high-resolution regional climate simulation for surface and hub-height wind climatology over North America

Kyle Peco, Jiali Wang, Chunyong Jung, Gökhan Sever, Lindsay Sheridan, Jeremy Feinstein, Rao Kotamarthi, Caroline Draxl, Ethan Young, Avi Purkayastha, and Andrew Kumler

Supplement

https://doi.org/10.5194/wes-11-13-2026-supplement

Data sets

WIND Toolkit Long-Term Ensemble Dataset Jiali Wang et al. https://doi.org/10.25984/2504176

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Short summary

This study presents a new wind dataset, generated by a convection-permitting regional climate model across North America. By validating the dataset against wind observations, we have demonstrated that this dataset captures the wind patterns over complex terrains more realistically than the European Centre for
Medium-Range Weather Forecasts (ECMWF) reanalysis version 5 (ERA5). Additionally, this study quantifies model uncertainty in wind speed, comparing it against interannual variability, to better inform wind farm siting.