Open Access
Issue
EPJ Web of Conferences
Volume 119, 2016
The 27th International Laser Radar Conference (ILRC 27)
Article Number 10001
Number of page(s) 5
Section Lidar Applications to Winds and Turbulence
DOI https://doi.org/10.1051/epjconf/201611910001
Published online 07 June 2016
  1. Aitken, M.L., J.K. Lundquist, R.M. Banta, and Y.L. Pichugina, 2014: Quantifying wind turbine wake characteristics from scanning remote sensor data. J. Atmos. Ocean. Technol., 31, 765–787. [CrossRef]
  2. Pichugina Y.L., R. M. Banta, W.A. Brewer, J.K. Lundquist, R. M. Hardesty, M.L. Aitken, R.J. Alvarez, S.P. Sandberg, A M. Weickmann N.D. Kelley, and J.D. Mirocha, 2012: Estimation of wind turbine wake characteristics from Doppler lidar measurements, 26th ILRC, Proceedings, 4pp
  3. Banta, R.M., Y.L. Pichugina, N.D. Kelley, R.M. Hardesty, W.A. Brewer, (2013): Wind energy meteorology: Insight into wind properties in the turbine-rotor layer of the atmosphere from high resolution Doppler lidar. Bulletin of the American Meteorological Society, 94, 6, 883-902. [CrossRef]
  4. Pichugina, Y.L., R. M. Banta, W. A. Brewer, S. P. Sandberg, and R. M. Hardesty, 2012: Doppler-lidarbased wind-profile measurement system for offshore wind-energy and other marine-boundary-layer applications. J. Appl. Meteor. Climatol. 51, 8, pp 327-349. [CrossRef]

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