Estimation of Turbulence Dissipation Rate from Doppler Wind Lidars and in-situ Instrumentation for the Perdigao 2017 Campaign

Julie Lundquist, Norman Wildmann, Nicola Bodini, Ludovic Bariteau, Johannes Wagner

Research output: Contribution to journalArticlepeer-review

22 Scopus Citations

Abstract

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 " 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 " 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 " across a valley between two parallel ridges at the Perdigão 2017 campaign. We analyze in detail how " 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.

Original languageAmerican English
Pages (from-to)6401-6423
Number of pages23
JournalAtmospheric Measurement Techniques
Volume12
Issue number12
DOIs
StatePublished - 2019

Bibliographical note

See NREL/JA-5000-74196 for article as published in Atmospheric Measurement Techniques Discussions

NREL Publication Number

  • NREL/JA-5000-75606

Keywords

  • atmospheric boundary layer
  • lidar
  • modeling
  • turbulence
  • wind energy
  • wind turbine

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