Preprints
https://doi.org/10.5194/wes-2025-198
https://doi.org/10.5194/wes-2025-198
15 Oct 2025
 | 15 Oct 2025
Status: this preprint is currently under review for the journal WES.

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

Abstract. We quantify the accuracy of the temperature profiling from ground-based spectral infrared radiance observations at AWAKEN. Results from pre-campaign tests and comparisons with in-situ ground-based and airborne sensors at AWAKEN indicate that temperature profiles agree satisfactorily with traditional instruments for wind energy applications. The bias is within a fraction of a degree and appears to be related to atmospheric stability. Root-mean-square differences from the reference instruments are always smaller than a degree and are often well described by the online uncertainty estimation product. Height-to-height and site-to-site temperature differences are in excellent agreement with in-situ observations, which justifies the use of temperature profilers to characterize static stability and spatial gradients of temperature.

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

Status: open (until 12 Nov 2025)

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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

Github repository for data analysis Stefano Letizia https://github.com/StefanoWind/ASSIST_analysis

Stefano Letizia, David D. Turner, Aliza Abraham, Luc Rochette, and Patrick J. Moriarty
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Latest update: 15 Oct 2025
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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. 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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