Wind Energy Science
Wind Energy Science
WES
Articles | Volume 11, issue 6
Articles | Volume 11, issue 6
https://doi.org/10.5194/wes-11-2093-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-2093-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 6
Research article
 | 
18 Jun 2026
Research article |  | 18 Jun 2026

Generating high-fidelity wind fields from the wind speed correlation tensor

Matteo Faccioni, Daniel Kiehn, and Patrick Vrancken

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Short summary
A new method to synthesize a wind field with very low error with respect to the theoretical, expected statistics is presented. The presented method has been developed with the aim of validating the effectiveness of a wind reconstruction algorithm in the context of a gust load alleviation project. Finally, the proposed method allows us to synthesize Gaussian and stationary phenomena with high accuracy in various spatial domains with uniformly spaced rectangular grid shapes.
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