Articles | Volume 10, issue 3
https://doi.org/10.5194/amt-10-1229-2017
© Author(s) 2017. 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-10-1229-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 Mar 2017
Research article |
| 30 Mar 2017
Validating precision estimates in horizontal wind measurements from a Doppler lidar
Rob K. Newsom
CORRESPONDING AUTHOR
Pacific Northwest National Laboratory, Richland, WA 99352, USA
W. Alan Brewer
National Oceanic and Atmospheric Administration, Earth System Research
Laboratory, Boulder, CO 80305, USA
James M. Wilczak
National Oceanic and Atmospheric Administration, Earth System Research
Laboratory, Boulder, CO 80305, USA
Daniel E. Wolfe
National Oceanic and Atmospheric Administration, Earth System Research
Laboratory, Boulder, CO 80305, USA
Cooperative Institute for Research in Environmental Sciences, Boulder,
CO 80305, USA
Steven P. Oncley
National Center for Atmospheric Research, Boulder, CO 80307, USA
Julie K. Lundquist
Department of Atmospheric and Oceanic Sciences, University of
Colorado, Boulder, CO 80309, USA
National Renewable Energy Laboratory, Golden, CO 80401, USA
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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.
Doppler lidars are remote sensing instruments that use infrared light to measure wind velocity...
