Estimation of turbulence dissipation rate from Doppler wind lidars and in situ instrumentation for the Perdigão 2017 campaign

<p>The understanding of the sources, spatial distribution and temporal variability of turbulence in the atmospheric boundary layer, and improved simulation of its forcing processes require observations in a broad range of terrain types and atmospheric conditions. In this study, we estimate tu...

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Bibliographic Details
Main Authors: N. Wildmann, N. Bodini, J. K. Lundquist, L. Bariteau, J. Wagner
Format: Article
Language:English
Published: Copernicus Publications 2019-12-01
Series:Atmospheric Measurement Techniques
Online Access:https://www.atmos-meas-tech.net/12/6401/2019/amt-12-6401-2019.pdf
Description
Summary:<p>The understanding of the sources, spatial distribution and temporal variability of turbulence in the atmospheric boundary layer, and improved simulation of its forcing processes require observations in a broad range of terrain types and atmospheric conditions. In this study, we estimate turbulence kinetic energy dissipation rate <span class="inline-formula"><i>ε</i></span> using multiple techniques, including in situ measurements of sonic anemometers on meteorological towers, a hot-wire anemometer on a tethered lifting system and remote-sensing retrievals from a vertically staring lidar and two lidars performing range–height indicator (RHI) scans. For the retrieval of <span class="inline-formula"><i>ε</i></span> from the lidar RHI scans, we introduce a modification of the Doppler spectral width method. This method uses spatiotemporal averages of the variance in the line-of-sight velocity and the turbulent broadening of the Doppler backscatter spectrum. We validate this method against the observations from the other instruments, also including uncertainty estimations for each method. The synthesis of the results from all instruments enables a detailed analysis of the spatial and temporal variability in <span class="inline-formula"><i>ε</i></span> across a valley between two parallel ridges at the Perdigão 2017 campaign. We analyze in detail how <span class="inline-formula"><i>ε</i></span> varies in the night from 13 to 14 June 2017. We find that the shear zones above and below a nighttime low-level jet experience turbulence enhancements. We also show that turbulence in the valley, approximately 11 rotor diameters downstream of an operating wind turbine, is still significantly enhanced by the wind turbine wake.</p>
ISSN:1867-1381
1867-8548