Articles | Volume 15, issue 15
Research article
15 Aug 2022
Research article |  | 15 Aug 2022

Behavior and mechanisms of Doppler wind lidar error in varying stability regimes

Rachel Robey and Julie K. Lundquist

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Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Validation and Intercomparisons
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Cited articles

Aitken, M. L. and Lundquist, J. K.: Utility-Scale Wind Turbine Wake Characterization Using Nacelle-Based Long-Range Scanning Lidar, J. Atmos. Ocean. Technol., 31, 1529–1539,, 2014. a
Aitken, M. L., Rhodes, M. E., and Lundquist, J. K.: Performance of a Wind-Profiling Lidar in the Region of Wind Turbine Rotor Disks, J. Atmos. Ocean. Technol., 29, 347–355,, 2012. a, b
Banakh, V., Smalikho, I., Köpp, F., and Werner, C.: Turbulent Energy Dissipation Rate Measurement Using Doppler Lidar, in: Advances in Atmospheric Remote Sensing with Lidar, edited by: Ansmann, A., Neuber, R., Rairoux, P., and Wandinger, U., 255–258, Springer, Berlin, Heidelberg,, 1997. a
Barad, M. L.: Project Prairie Grass, a Field Program in Diffusion, Tech. Rep. AFCRC-TR-58-235(I), Air Force Cambridge Research Center Geophysics Research Directorate Geophysical Research Papers 59, 1958. a
Basu, S., Holtslag, B., Van de Wiel, B., Moene, A., and Steeneveld, G.-J.: An Inconvenient ”Truth” about Using Sensible Heat Flux as a Surface Boundary Condition in Models under Stably Stratified Regimes, Acta Geophys., 56, 88–99,, 2007. a
Short summary
Our work investigates the behavior of errors in remote-sensing wind lidar measurements due to turbulence. Using a virtual instrument, we measured winds in simulated atmospheric flows and decomposed the resulting error. Dominant error mechanisms, particularly vertical velocity variations and interactions with shear, were identified in ensemble data over three test cases. By analyzing the underlying mechanisms, the response of the error behavior to further varying flow conditions may be projected.