Articles | Volume 9, issue 12
https://doi.org/10.5194/amt-9-5833-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-5833-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Dec 2016
Research article |
| 06 Dec 2016
Improvement of vertical velocity statistics measured by a Doppler lidar through comparison with sonic anemometer observations
Timothy A. Bonin
CORRESPONDING AUTHOR
School of Meteorology, University of Oklahoma, Norman, OK, USA
now at: Cooperative Institute for Research in the Environmental Sciences and NOAA/Earth
System Research Laboratory/Chemical Sciences Division, Boulder, CO, USA
Jennifer F. Newman
School of Meteorology, University of Oklahoma, Norman, OK, USA
now at: National Wind Technology Center, National Renewable Energy Laboratory, Golden, CO, USA
Petra M. Klein
School of Meteorology, University of Oklahoma, Norman, OK, USA
Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, USA
Phillip B. Chilson
School of Meteorology, University of Oklahoma, Norman, OK, USA
Advanced Radar Research Center and School of Meteorology, University of Oklahoma, Norman, OK, USA
Sonia Wharton
Lawrence Livermore National Laboratory, Livermore, CA, USA
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- Wind in Complex Terrain—Lidar Measurements for Evaluation of CFD Simulations A. Risan et al. 10.3390/rs10010059
1 citations as recorded by crossref.
Latest update: 29 Jun 2024
Short summary
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.
Turbulence measurements are important to boundary layer meteorology and related fields. Doppler...
