Articles | Volume 9, issue 4
https://doi.org/10.5194/amt-9-1653-2016
https://doi.org/10.5194/amt-9-1653-2016
Research article
 | 
13 Apr 2016
Research article |  | 13 Apr 2016

Lidar arc scan uncertainty reduction through scanning geometry optimization

Hui Wang, Rebecca J. Barthelmie, Sara C. Pryor, and Gareth. Brown

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Cited articles

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Aitken, M. L., Banta, R. M., Pichugina, Y. L., and Lundquist, J. K.: Quantifying wind turbine wake characteristics from scanning remote sensor data, J. Atmos. Ocean. Tech., 31, 765–787, https://doi.org/10.1175/JTECH-D-13-00104.1, 2014.
Banakh, V. A., Smalikho, I. N., Köpp, F., and Werner, C.: Representativeness of wind measurements with a cw Doppler lidar inthe atmospheric boundary layer, Appl. Optics, 34, 2055–2067, https://doi.org/10.1364/AO.34.002055, 1995.
Banta, R. M., Pichugina, Y. L., Kelley, N. D., Jonkman, B., and Brewer, W. A.: Doppler lidar measurements of the great plains low-level jet: applications to wind energy, IOP C. Ser. Earth Env., 1, 12–20, 2008.
Banta, R. M., Pichugina, Y. L., Kelley, N. D., Hardesty, R. M., and Brewer, W. A.: Wind energy meteorology: insight into wind properties in the turbine–rotor layer of the atmosphere from high-resolution Doppler lidar, B. Am. Meteorol. Soc., 94, 883–902, https://doi.org/10.1175/BAMS-D-11-00057.1, 2013.
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