Wind Energy Science
Wind Energy Science
WES
Articles | Volume 11, issue 7
Articles | Volume 11, issue 7
https://doi.org/10.5194/wes-11-2621-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-2621-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 7
Research article
 | 
24 Jul 2026
Research article |  | 24 Jul 2026

Wake-resolving acoustic tomography: advances through numerical covariance methods

Nicholas Hamilton and Shreyas Bidadi

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Short summary
This study explores improvements to an atmospheric measurement method called acoustic tomography, which uses sound travel times to estimate wind and temperature. We compare several ways of estimating how air conditions vary and show that models based on realistic wind turbine simulations yield more accurate results than traditional simplified methods. These findings support better observations of complex air flows around wind turbines, helping advance renewable energy research.
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