Next Article in Journal
Land Surface Temperature Differences within Local Climate Zones, Based on Two Central European Cities
Next Article in Special Issue
A Case Study of Land-Surface-Temperature Impact from Large-Scale Deployment of Wind Farms in China from Guazhou
Previous Article in Journal
Correction: Liu, Y. et al. Time-Dependent Afterslip of the 2009 Mw 6.3 Dachaidan Earthquake (China) and Viscosity beneath the Qaidam Basin Inferred from Postseismic Deformation Observations. Remote Sens. 2016, 8, 649
Previous Article in Special Issue
Quarter-Century Offshore Winds from SSM/I and WRF in the North Sea and South China Sea
Article Menu
Issue 9 (September) cover image

Export Article

Erratum published on 28 June 2017, see Remote Sens. 2017, 9(7), 667.

Open AccessArticle
Remote Sens. 2016, 8(9), 782;

An Inter-Comparison Study of Multi- and DBS Lidar Measurements in Complex Terrain

Fraunhofer Institute for Wind Energy and Energy System Technology (IWES), Fraunhofer IWES|Kassel, Königstor 59, 34119 Kassel, Germany
Department of Micrometeorology, University of Bayreuth, 95447 Bayreuth, Germany
DTU Wind Energy, Risø Campus, Technical University of Denmark, 4000 Roskilde, Denmark
Institute for Geophysics and Meteorology, University of Cologne, 50923 Köln, Germany
ForWind, Center for Wind Energy Research, Carl von Ossietzky Universität Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Fraunhofer Institute for Wind Energy and Energy System Technology (IWES), Fraunhofer IWES|Northwest, 27572 Bremerhaven, Germany
Author to whom correspondence should be addressed.
Academic Editors: Guoqing Zhou, Richard Müller and Prasad S. Thenkabail
Received: 1 July 2016 / Revised: 1 September 2016 / Accepted: 13 September 2016 / Published: 21 September 2016
(This article belongs to the Special Issue Remote Sensing of Wind Energy)
PDF [6170 KB, uploaded 6 October 2017]


Wind measurements using classical profiling lidars suffer from systematic measurement errors in complex terrain. Moreover, their ability to measure turbulence quantities is unsatisfactory for wind-energy applications. This paper presents results from a measurement campaign during which multiple WindScanners were focused on one point next to a reference mast in complex terrain. This multi-lidar (ML) technique is also compared to a profiling lidar using the Doppler beam swinging (DBS) method. First- and second-order statistics of the radial wind velocities from the individual instruments and the horizontal wind components of several ML combinations are analysed in comparison to sonic anemometry and DBS measurements. The results for the wind speed show significantly reduced scatter and directional error for the ML method in comparison to the DBS lidar. The analysis of the second-order statistics also reveals a significantly better correlation for the ML technique than for the DBS lidar, when compared to the sonic. However, the probe volume averaging of the lidars leads to an attenuation of the turbulence at high wave numbers. Also the configuration (i.e., angles) of the WindScanners in the ML method seems to be more important for turbulence measurements. In summary, the results clearly show the advantages of the ML technique in complex terrain and indicate that it has the potential to achieve significantly higher accuracy in measuring turbulence quantities for wind-energy applications than classical profiling lidars. View Full-Text
Keywords: multi-lidar; WindScanner; complex terrain; turbulence; wind energy multi-lidar; WindScanner; complex terrain; turbulence; wind energy

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Pauscher, L.; Vasiljevic, N.; Callies, D.; Lea, G.; Mann, J.; Klaas, T.; Hieronimus, J.; Gottschall, J.; Schwesig, A.; Kühn, M.; Courtney, M. An Inter-Comparison Study of Multi- and DBS Lidar Measurements in Complex Terrain. Remote Sens. 2016, 8, 782.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top