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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 8
Atmos. Meas. Tech., 10, 2881–2896, 2017
https://doi.org/10.5194/amt-10-2881-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 10, 2881–2896, 2017
https://doi.org/10.5194/amt-10-2881-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 14 Aug 2017

Research article | 14 Aug 2017

Three-dimensional structure of wind turbine wakes as measured by scanning lidar

Nicola Bodini et al.
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Nicola Bodini on behalf of the Authors (12 Jun 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (16 Jun 2017) by Mark Kulie
RR by Anonymous Referee #1 (21 Jun 2017)
RR by Anonymous Referee #3 (05 Jul 2017)
ED: Publish subject to minor revisions (Editor review) (11 Jul 2017) by Mark Kulie
AR by Nicola Bodini on behalf of the Authors (11 Jul 2017)  Author's response    Manuscript
ED: Publish as is (14 Jul 2017) by Mark Kulie
Publications Copernicus
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Short summary
Wind turbine wakes have considerable impacts on downwind turbines in wind farms, given their slower wind speeds and increased turbulence. Based on lidar measurements, we apply a quantitative algorithm to assess wake parameters for wakes from a row of four turbines in CWEX-13 campaign. We describe how wake characteristics evolve, and for the first time we quantify the relation between wind veer and a stretching of the wake structures, and we highlight different results for inner and outer wakes.
Wind turbine wakes have considerable impacts on downwind turbines in wind farms, given their...
Citation