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| Format: | Recurso digital |
| Sprache: | Englisch |
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2025
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| Online-Zugang: | https://doi.org/10.5194/wes-10-347-2025 |
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| _version_ | 1866902061697728512 |
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| author | Moreno, Daniela Friedrich, Jan Wächter, Matthias Schwarte, Jörg Peinke, Joachim |
| author_facet | Moreno, Daniela Friedrich, Jan Wächter, Matthias Schwarte, Jörg Peinke, Joachim |
| 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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5194_wes-10-347-2025 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Periods of constant wind speed: how long do they last in the turbulent atmospheric boundary layer? Moreno, Daniela Friedrich, Jan Wächter, Matthias Schwarte, Jörg Peinke, Joachim wind speed atmospheric boundary layer turbulent <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> |
| title | Periods of constant wind speed: how long do they last in the turbulent atmospheric boundary layer? |
| topic | wind speed atmospheric boundary layer turbulent |
| url | https://doi.org/10.5194/wes-10-347-2025 |