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| Main Authors: | , , , , |
|---|---|
| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
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| Subjects: | |
| Online Access: | https://doi.org/10.5194/wes-10-347-2025 |
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Table of Contents:
- <p>We perform a statistical analysis of the occurrence of periods of constant wind speed in atmospheric<br>turbulence. We hypothesize that such periods of constant wind speed are related to characteristic wind field<br>structures that, when interacting with a wind turbine, may induce particular dynamical responses. Therefore,<br>this study focuses on characterizing the constant wind speed periods in terms of their lengths and probability<br>of occurrence. Atmospheric offshore wind data are analyzed. Our findings reveal that long constant wind speed<br>periods are an intrinsic feature of the marine atmospheric boundary layer (ABL). We confirm that the probability<br>distribution of such periods of constant wind speeds follows a Pareto-like distribution, admitting power law<br>behavior for periods exceeding the large-eddy-turnover time. The power law characteristics depend on the local<br>conditions and the precise definition of wind speed thresholds. A comparison to wind time series generated<br>with standard synthetic wind models and to time series from ideal stationary turbulence suggests that these<br>structures are not characteristics of small-scale turbulence but seem to be consequences of larger-scale structures<br>of the atmospheric boundary layer and thus are multi-scale. Given the results, we show that the continuous-time<br>random walk (CTRW) model, as a non-standard wind model, can be adapted to generate time series of the wind<br>speed whose statistics match the statistics of observed periods of constant wind speed.</p>