Articles | Volume 10, issue 3
https://doi.org/10.5194/amt-10-1215-2017
https://doi.org/10.5194/amt-10-1215-2017
Research article
 | 
29 Mar 2017
Research article |  | 29 Mar 2017

Assessment of virtual towers performed with scanning wind lidars and Ka-band radars during the XPIA experiment

Mithu Debnath, Giacomo Valerio Iungo, W. Alan Brewer, Aditya Choukulkar, Ruben Delgado, Scott Gunter, Julie K. Lundquist, John L. Schroeder, James M. Wilczak, and Daniel Wolfe

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Cited articles

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, 2014.
Banta, R. M., Newsom, R. K., Lundquist, J. K., Pichugina, Y. L., Coulter, R. L., and Mahrt, L.: Nocturnal low-level jet characteristics over Kansas during cases-99, Bound.-Lay. Meteorol., 105, 221–252, 2002.
Bingöl, F., Mann, J., and Foussekis, D.: Conically scanning lidar error in complex terrain, Meteor. Z., 18, 189–195, 2009.
Bonin, T. A., Blumberg, W. G., Klein, P. M., and Chilson, P. B.: Thermodynamic and turbulence characteristics of the southern great plains nocturnal boundary layer under differing turbulent regimes, Bound.-Lay. Meteorol., 157, 401–420, 2015.
Calhoun, R., Heap, R., Princevac, M., Newsom, R., Fernando, H., and Ligont, D.: Virtual towers using coherent Doppler lidar during the joint urban 2003 dispersion experiment, J. Appl. Meteorol. Clim., 45, 1116–1126, 2006.
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Short summary
The XPIA experiment was conducted in 2015 at the Boulder Atmospheric Observatory to estimate capabilities of various remote-sensing techniques for the characterization of complex atmospheric flows. Among different tests, XPIA provided the unique opportunity to perform simultaneous virtual towers with Ka-band radars and scanning Doppler wind lidars. Wind speed and wind direction were assessed against lidar profilers and sonic anemometer data, highlighting a good accuracy of the data retrieved.