Articles | Volume 2, issue 2
https://doi.org/10.5194/gi-2-177-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gi-2-177-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Jul 2013
Research article |
| 05 Jul 2013
Comparison and application of wind retrieval algorithms for small unmanned aerial systems
T. A. Bonin
School of Meteorology, University of Oklahoma, Norman, Oklahoma, USA
Advanced Radar Research Center, University of Oklahoma, Norman, Oklahoma, USA
P. B. Chilson
School of Meteorology, University of Oklahoma, Norman, Oklahoma, USA
Advanced Radar Research Center, University of Oklahoma, Norman, Oklahoma, USA
B. S. Zielke
School of Meteorology, University of Oklahoma, Norman, Oklahoma, USA
Advanced Radar Research Center, University of Oklahoma, Norman, Oklahoma, USA
P. M. Klein
School of Meteorology, University of Oklahoma, Norman, Oklahoma, USA
Center for Analysis and Prediction of Storms, University of Oklahoma, Norman, Oklahoma, USA
J. R. Leeman
School of Meteorology, University of Oklahoma, Norman, Oklahoma, USA
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Turbulence measurements are important to boundary layer meteorology and related fields. Doppler lidars are capable of providing continuous profiles of turbulence statistics. Herein, the most direct turbulence measurement, vertical velocity variance, is validated with those from sonic anemometers. Spectra are also compared. A method of calculating velocity variance using the autocovariance is shown to improve the accuracy of the measurement by mitigating effects of noise and averaging.
Jennifer F. Newman, Petra M. Klein, Sonia Wharton, Ameya Sathe, Timothy A. Bonin, Phillip B. Chilson, and Andreas Muschinski
Atmos. Meas. Tech., 9, 1993–2013, https://doi.org/10.5194/amt-9-1993-2016, https://doi.org/10.5194/amt-9-1993-2016, 2016
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