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

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 ε 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 ε 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 ε across a valley between two parallel ridges at the Perdigão 2017 campaign. We analyze in detail how ε varies in the night from 13 to 14 June 2017. We find that the shear zones above and below a nighttimemore » 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.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3];  [2];  [1]
  1. Deutsches Zentrum für Luft- und Raumfahrt e.V., Oberpfaffenhofen (Germany)
  2. Univ. of Colorado, Boulder, CO (United States)
  3. Univ. of Colorado, Boulder, CO (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
National Science Foundation (NSF); USDOE
OSTI Identifier:
1579317
Report Number(s):
NREL/JA-5000-75606
Journal ID: ISSN 1867-8548
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Atmospheric Measurement Techniques (Online)
Additional Journal Information:
Journal Name: Atmospheric Measurement Techniques (Online); Journal Volume: 12; Journal Issue: 12; Journal ID: ISSN 1867-8548
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; wind energy; wind turbine; lidar; atmospheric boundary layer; turbulence; modeling

Citation Formats

Wildmann, Norman, Bodini, Nicola, Lundquist, Julie K., Bariteau, Ludovic, and Wagner, Johannes. Estimation of turbulence dissipation rate from Doppler wind lidars and in situ instrumentation for the Perdigão 2017 campaign. United States: N. p., 2019. Web. doi:10.5194/amt-12-6401-2019.
Wildmann, Norman, Bodini, Nicola, Lundquist, Julie K., Bariteau, Ludovic, & Wagner, Johannes. Estimation of turbulence dissipation rate from Doppler wind lidars and in situ instrumentation for the Perdigão 2017 campaign. United States. doi:10.5194/amt-12-6401-2019.
Wildmann, Norman, Bodini, Nicola, Lundquist, Julie K., Bariteau, Ludovic, and Wagner, Johannes. Thu . "Estimation of turbulence dissipation rate from Doppler wind lidars and in situ instrumentation for the Perdigão 2017 campaign". United States. doi:10.5194/amt-12-6401-2019. https://www.osti.gov/servlets/purl/1579317.
@article{osti_1579317,
title = {Estimation of turbulence dissipation rate from Doppler wind lidars and in situ instrumentation for the Perdigão 2017 campaign},
author = {Wildmann, Norman and Bodini, Nicola and Lundquist, Julie K. and Bariteau, Ludovic and Wagner, Johannes},
abstractNote = {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 ε 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 ε 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 ε across a valley between two parallel ridges at the Perdigão 2017 campaign. We analyze in detail how ε 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.},
doi = {10.5194/amt-12-6401-2019},
journal = {Atmospheric Measurement Techniques (Online)},
number = 12,
volume = 12,
place = {United States},
year = {2019},
month = {12}
}

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