Articles | Volume 12, issue 12
https://doi.org/10.5194/amt-12-6401-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-6401-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimation of turbulence dissipation rate from Doppler wind lidars and in situ instrumentation for the Perdigão 2017 campaign
Deutsches Zentrum für Luft- und Raumfahrt e.V., Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Nicola Bodini
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, Colorado, USA
Julie K. Lundquist
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, Colorado, USA
National Renewable Energy Laboratory, Golden, Colorado, USA
Ludovic Bariteau
Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado, USA
Johannes Wagner
Deutsches Zentrum für Luft- und Raumfahrt e.V., Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
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Cited
20 citations as recorded by crossref.
- Characteristics of Energy Dissipation Rate Observed from the High-Frequency Sonic Anemometer at Boseong, South Korea J. Kim et al. 10.3390/atmos12070837
- Meso- to microscale modeling of atmospheric stability effects on wind turbine wake behavior in complex terrain A. Wise et al. 10.5194/wes-7-367-2022
- Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations S. Kotthaus et al. 10.5194/amt-16-433-2023
- Effect of Wind Transport of Turbulent Inhomogeneities on Estimation of the Turbulence Energy Dissipation Rate from Measurements by a Conically Scanning Coherent Doppler Lidar I. Smalikho & V. Banakh 10.3390/rs12172802
- Long-range Doppler lidar measurements of wind turbine wakes and their interaction with turbulent atmospheric boundary-layer flow at Perdigao 2017 N. Wildmann et al. 10.1088/1742-6596/1618/3/032034
- Profiling the molecular destruction rates of temperature and humidity as well as the turbulent kinetic energy dissipation in the convective boundary layer V. Wulfmeyer et al. 10.5194/amt-17-1175-2024
- Tilted lidar profiling: Development and testing of a novel scanning strategy for inhomogeneous flows S. Letizia et al. 10.1063/5.0209729
- Stability Dependence of the Turbulent Dissipation Rate in the Convective Atmospheric Boundary Layer Y. Lv et al. 10.1029/2023GL103326
- Marine Mixed Layer Height Detection Using Ship-Borne Coherent Doppler Wind Lidar Based on Constant Turbulence Threshold L. Wang et al. 10.3390/rs14030745
- Impact of atmospheric turbulence on wind farms sited over complex terrain J. Singh & J. Alam 10.1063/5.0222245
- Atmospheric Pollutant Dispersion over Complex Terrain: Challenges and Needs for Improving Air Quality Measurements and Modeling L. Giovannini et al. 10.3390/atmos11060646
- Towards improved turbulence estimation with Doppler wind lidar velocity-azimuth display (VAD) scans N. Wildmann et al. 10.5194/amt-13-4141-2020
- Remote sensing at the interface between ecology and climate sciences D. Rocchini & J. Lenoir 10.1002/met.2022
- Exploring the daytime boundary layer evolution based on Doppler spectrum width from multiple coplanar wind lidars during CROSSINN N. Babić et al. 10.5194/wcd-5-609-2024
- Structure Analysis of the Sea Breeze Based on Doppler Lidar and Its Impact on Pollutants J. Liu et al. 10.3390/rs14020324
- Can machine learning improve the model representation of turbulent kinetic energy dissipation rate in the boundary layer for complex terrain? N. Bodini et al. 10.5194/gmd-13-4271-2020
- Observations of Offshore Internal Boundary Layers R. Krishnamurthy et al. 10.1029/2022JD037425
- Turbulence dissipation rate estimated from lidar observations during the LAPSE-RATE field campaign M. Sanchez Gomez et al. 10.5194/essd-13-3539-2021
- Implications of complex terrain topography on the performance of a real wind farm F. Bernardoni et al. 10.1088/1742-6596/2505/1/012052
- Probing the atmospheric boundary layer with integrated remote-sensing platforms during the American WAKE ExperimeNt (AWAKEN) campaign A. Jordan et al. 10.1063/5.0211717
19 citations as recorded by crossref.
- Characteristics of Energy Dissipation Rate Observed from the High-Frequency Sonic Anemometer at Boseong, South Korea J. Kim et al. 10.3390/atmos12070837
- Meso- to microscale modeling of atmospheric stability effects on wind turbine wake behavior in complex terrain A. Wise et al. 10.5194/wes-7-367-2022
- Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations S. Kotthaus et al. 10.5194/amt-16-433-2023
- Effect of Wind Transport of Turbulent Inhomogeneities on Estimation of the Turbulence Energy Dissipation Rate from Measurements by a Conically Scanning Coherent Doppler Lidar I. Smalikho & V. Banakh 10.3390/rs12172802
- Long-range Doppler lidar measurements of wind turbine wakes and their interaction with turbulent atmospheric boundary-layer flow at Perdigao 2017 N. Wildmann et al. 10.1088/1742-6596/1618/3/032034
- Profiling the molecular destruction rates of temperature and humidity as well as the turbulent kinetic energy dissipation in the convective boundary layer V. Wulfmeyer et al. 10.5194/amt-17-1175-2024
- Tilted lidar profiling: Development and testing of a novel scanning strategy for inhomogeneous flows S. Letizia et al. 10.1063/5.0209729
- Stability Dependence of the Turbulent Dissipation Rate in the Convective Atmospheric Boundary Layer Y. Lv et al. 10.1029/2023GL103326
- Marine Mixed Layer Height Detection Using Ship-Borne Coherent Doppler Wind Lidar Based on Constant Turbulence Threshold L. Wang et al. 10.3390/rs14030745
- Impact of atmospheric turbulence on wind farms sited over complex terrain J. Singh & J. Alam 10.1063/5.0222245
- Atmospheric Pollutant Dispersion over Complex Terrain: Challenges and Needs for Improving Air Quality Measurements and Modeling L. Giovannini et al. 10.3390/atmos11060646
- Towards improved turbulence estimation with Doppler wind lidar velocity-azimuth display (VAD) scans N. Wildmann et al. 10.5194/amt-13-4141-2020
- Remote sensing at the interface between ecology and climate sciences D. Rocchini & J. Lenoir 10.1002/met.2022
- Exploring the daytime boundary layer evolution based on Doppler spectrum width from multiple coplanar wind lidars during CROSSINN N. Babić et al. 10.5194/wcd-5-609-2024
- Structure Analysis of the Sea Breeze Based on Doppler Lidar and Its Impact on Pollutants J. Liu et al. 10.3390/rs14020324
- Can machine learning improve the model representation of turbulent kinetic energy dissipation rate in the boundary layer for complex terrain? N. Bodini et al. 10.5194/gmd-13-4271-2020
- Observations of Offshore Internal Boundary Layers R. Krishnamurthy et al. 10.1029/2022JD037425
- Turbulence dissipation rate estimated from lidar observations during the LAPSE-RATE field campaign M. Sanchez Gomez et al. 10.5194/essd-13-3539-2021
- Implications of complex terrain topography on the performance of a real wind farm F. Bernardoni et al. 10.1088/1742-6596/2505/1/012052
Latest update: 23 Nov 2024
Short summary
Turbulence is the variation of wind velocity on short timescales. In this study we introduce a new method to measure turbulence in a two-dimensionial plane with lidar instruments. The method allows for the detection and quantification of subareas of distinct turbulence conditions in the observed plane. We compare the results to point and profile measurements with more established instruments. It is shown that turbulence below low-level jets and in wind turbine wakes can be investigated this way.
Turbulence is the variation of wind velocity on short timescales. In this study we introduce a...