Articles | Volume 10, issue 3
https://doi.org/10.5194/amt-10-1229-2017
https://doi.org/10.5194/amt-10-1229-2017
Research article
 | 
30 Mar 2017
Research article |  | 30 Mar 2017

Validating precision estimates in horizontal wind measurements from a Doppler lidar

Rob K. Newsom, W. Alan Brewer, James M. Wilczak, Daniel E. Wolfe, Steven P. Oncley, and Julie K. Lundquist

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Cited articles

Banakh, V. A. and Smalikho, I. N.: Estimation of turbulent energy dissipation rate from data of pulse Doppler lidar, Atmos. Ocean. Opt., 10, 957–965, 1997.
Browning, K. and Wexler, R.: The determination of kinematic properties of a wind field using Doppler radar, J. Appl. Meteorol., 7, 105–113, 1968.
Chai, T., Lin, C. L., and Newsom R. K.: Retrieval of Microscale Flow Structures from High Resolution Doppler Lidar using an Adjoint Model, J. Atmos. Sci., 61, 1500–1520, 2004.
Choukulkar, A., Pichugina, Y., Clack, C. T. M., Calhoun, R., Banta, R., Brewer, A., and Hardesty, M.: A new formulation for rotor equivalent wind speed for wind resource assessment and wind power forecasting, Wind Energy, 19, 1439–1452, 2016.
Clifton, A., Elliot, D., and Courtney, M.: IEA Wind RP 15 Ground-based vertically-profiling remote sensing for wind resource assessment, International Energy Agency, available at: https://www.ieawind.org/index_page_postings/RP/RP 2015_RemoteSensing_1stEd_8March2013.pdf (last access: 27 March 2017), 2013.
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Short summary
Doppler lidars are remote sensing instruments that use infrared light to measure wind velocity in the lowest 2 to 3 km of the atmosphere. Quantifying the uncertainty in these measurements is crucial for applications ranging from wind resource assessment to model data assimilation. In this study, we evaluate three methods for estimating the random uncertainty by comparing the lidar wind measurements with nearly collocated in situ wind measurements at multiple levels on a tall tower.