Quantifying local wind farm impacts on land surface temperature: Evidence from airport observations and a preliminary model

Recent studies have indicated a warming trend has occurred in the local areas surrounding wind farms. These studies utilized satellite imagery to measure temperature deviations in areas with a high concentration of wind turbines of the United States. Incorporating numerical results from the full article, our analysis provides evidence for a statistically significant warming trend, particularly during nighttime hours in the summer and winter months. Specifically, during the nighttime, there was a warming of 0.724°C in June, July, and August (JJA) and 0.458°C in December, January, and February (DJF). Conversely, daytime changes were minimal, with a change of −0.037°C in JJA and 0.233°C in DJF. These findings underscore a small warming effect near wind farms, predominantly attributed to turbine-induced mixing. This work provides further evidence for the phenomenon using a novel—short-term though—dataset and the results should be viewed as suggestive rather than definitive.

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Publication Details

Journal
Wind Engineering
Published
2025-12-23
DOI
https://doi.org/10.1177/0309524x251410691
Primary Topic
Wind Energy Research and Development
Type
article
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article

Quantifying local wind farm impacts on land surface temperature: Evidence from airport observations and a preliminary model

George Xydis, David Blake
Wind Engineering
Wind Energy Research and Development
article

Quantifying local wind farm impacts on land surface temperature: Evidence from airport observations and a preliminary model

George Xydis, David Blake
article en

Abstract

Recent studies have indicated a warming trend has occurred in the local areas surrounding wind farms. These studies utilized satellite imagery to measure temperature deviations in areas with a high concentration of wind turbines of the United States. Incorporating numerical results from the full article, our analysis provides evidence for a statistically significant warming trend, particularly during nighttime hours in the summer and winter months. Specifically, during the nighttime, there was a warming of 0.724°C in June, July, and August (JJA) and 0.458°C in December, January, and February (DJF). Conversely, daytime changes were minimal, with a change of −0.037°C in JJA and 0.233°C in DJF. These findings underscore a small warming effect near wind farms, predominantly attributed to turbine-induced mixing. This work provides further evidence for the phenomenon using a novel—short-term though—dataset and the results should be viewed as suggestive rather than definitive.

Wind EngineeringVol. 50(1)
Johns Hopkins University (US), University of Peloponnese (GR), Aarhus University (DK)
Affordable and clean energy
Openalex Percentile: Top 23%
Wind Energy Research and Development
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Quantifying local wind farm impacts on land surface temperature: Evidence from airport observations and a preliminary model — George Xydis, David Blake · Wind Engineering (2025) | TGRS Research Map | TGRS