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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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AMT | Articles | Volume 12, issue 3
Atmos. Meas. Tech., 12, 1871–1888, 2019
https://doi.org/10.5194/amt-12-1871-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 1871–1888, 2019
https://doi.org/10.5194/amt-12-1871-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 21 Mar 2019

Research article | 21 Mar 2019

Better turbulence spectra from velocity–azimuth display scanning wind lidar

Felix Kelberlau and Jakob Mann

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Interactive discussion

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 Felix Kelberlau on behalf of the Authors (05 Feb 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Feb 2019) by Marcos Portabella
RR by Anonymous Referee #1 (13 Feb 2019)
RR by Anonymous Referee #2 (15 Feb 2019)
ED: Publish subject to technical corrections (03 Mar 2019) by Marcos Portabella
AR by Felix Kelberlau on behalf of the Authors (05 Mar 2019)  Author's response    Manuscript
Publications Copernicus
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Short summary
Lidars are devices that can measure wind velocities remotely from the ground. Their estimates are very accurate in the mean but wind speed fluctuations lead to measurement errors. The presented data processing methods mitigate several of the error causes: first, by making use of knowledge about the mean wind direction and, second, by determining the location of air packages and sensing them in the best moment. Both methods can be applied to existing wind lidars and results are very promising.
Lidars are devices that can measure wind velocities remotely from the ground. Their estimates...
Citation