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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/amt-2018-410
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2018-410
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 04 Dec 2018

Research article | 04 Dec 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

Better turbulence spectra from VAD scanning wind lidar

Felix Kelberlau1 and Jakob Mann2 Felix Kelberlau and Jakob Mann
  • 1NTNU, Department of Energy and Process Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway
  • 2DTU Wind Energy, Technical University of Denmark, 4000 Roskilde, Denmark

Abstract. Turbulent velocity spectra derived from vertical azimuth display (VAD) scanning wind lidars deviate from spectra derived from one point measurements due to averaging effects and cross-contamination among the velocity components. This work presents two novel methods for minimizing these effects through advanced raw data processing. The squeezing method is based on the assumption of frozen turbulence and introduces a time delay into the raw data processing in order to reduce cross-contamination. The 2-beam method uses only certain laser beams in the reconstruction of wind vector components to overcome averaging along the measurement circle. Models are developed for conventional VAD scanning and for both new data processing methods to predict the spectra and identify systematic differences between the methods. Numerical modeling and comparison with measurement data were both used to assess the performance of the methods. We found that the squeezing method reduces cross-contamination by eliminating the resonance effect caused by the longitudinal separation of measurement points, and also considerably reduces the averaging along the measurement circle. The 2-beam method eliminates this averaging effect completely. The combined use of the squeezing and 2-beam methods substantially improves the ability of VAD scanning wind lidars to measure in-wind (u) and vertical (w) fluctuations.

Felix Kelberlau and Jakob Mann
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Felix Kelberlau and Jakob Mann
Felix Kelberlau and Jakob Mann
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Latest update: 18 Dec 2018
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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...
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