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] [Google Scholar]
  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 [Google Scholar]
  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] [Google Scholar]
  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] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.