Articles | Volume 11, issue 5
https://doi.org/10.5194/wes-11-1653-2026
https://doi.org/10.5194/wes-11-1653-2026
Research article
 | 
08 May 2026
Research article |  | 08 May 2026

Temperature profiling at the American WAKE ExperimeNt (AWAKEN): methodology and uncertainty quantification

Stefano Letizia, David D. Turner, Aliza Abraham, Luc Rochette, and Patrick J. Moriarty

Data sets

AWAKEN dataset Wind Data Hub https://wdh.energy.gov/project/awaken

Model code and software

StefanoWind/ASSIST_analysis: wes-2025-198 S. Letizia https://doi.org/10.5281/zenodo.19801301

StefanoWind/TROPoe_processor: wes-2025-198 S. Letizia https://doi.org/10.5281/zenodo.19801303

TROPoe v0.12 D. D. Turner https://hub.docker.com/layers/davidturner53/tropoe/v0.12/images/sha256-a9ee6bcb025b723fc466cd7805c5c380f27d402d8e50794d7cdf16bae3c2250c

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Short summary
Characterizing the wind resource is much more than just measuring wind speeds. In fact, the physics of the atmosphere is governed by a complex interplay of different quantities, temperature being one of the most important. We used a new technology to remotely sense temperature profiles around wind farms at AWAKEN (American WAKE ExperimeNt). Here, we discuss the methodology and guide readers through a comprehensive, step-by-step validation effort to quantify the accuracy of temperature profiling for wind energy.
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