Articles | Volume 15, issue 15
https://doi.org/10.5194/amt-15-4585-2022
© Author(s) 2022. 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-15-4585-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Aug 2022
Research article |
| 15 Aug 2022
| 15 Aug 2022
Behavior and mechanisms of Doppler wind lidar error in varying stability regimes
Department of Applied Mathematics, 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
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Cited
16 citations as recorded by crossref.
- Advancing airborne Doppler lidar wind profiling in turbulent boundary layer flow – an LES-based optimization of traditional scanning-beam versus novel fixed-beam measurement systems P. Gasch et al. 10.5194/amt-16-5495-2023
- Investigating Wind Characteristics and Temporal Variations in the Lower Troposphere over the Northeastern Qinghai–Tibet Plateau Using a Doppler LiDAR J. Zheng et al. 10.3390/rs16111840
- Synchronised WindScanner field measurements of the induction zone between two closely spaced wind turbines A. Kidambi Sekar et al. 10.5194/wes-9-1483-2024
- Behavior and mechanisms of Doppler wind lidar error in complex terrain: stable flow case study at Perdigão A. Black et al. 10.1088/1742-6596/2767/5/052062
- Information Analysis on Foreign Institution for International R&D Collaboration Using Natural Language Processing J. Jung et al. 10.3390/en16010033
- Evaluating wind profiles in a numerical weather prediction model with Doppler lidar P. Pentikäinen et al. 10.5194/gmd-16-2077-2023
- Comparing triple and single Doppler lidar wind measurements with sonic anemometer data based on a new filter strategy for virtual tower measurements K. Wolz et al. 10.5194/gi-13-205-2024
- Can lidars assess wind plant blockage in simple terrain? A WRF-LES study M. Sanchez Gomez et al. 10.1063/5.0103668
- Virtual tower measurements during the American WAKE ExperimeNt (AWAKEN) R. Newsom et al. 10.1063/5.0206844
- Tilted lidar profiling: Development and testing of a novel scanning strategy for inhomogeneous flows S. Letizia et al. 10.1063/5.0209729
- Investigation and statistical analysis of electrical energy production from the wind farm M. Alghamdi et al. 10.1063/5.0137760
- Assessment of Doppler Wind Lidar Detection Efficiency and Influencing Factors at Plateau Airport: A Case Study of Lhasa Gonggar Airport J. Wu et al. 10.3390/atmos15121530
- Comparing scanning lidar configurations for wake measurements based on the reduction of associated measurement uncertainties L. Hung et al. 10.1088/1742-6596/2505/1/012031
- Applying motion compensation to offshore wind lidar reconstructed wind measurements C. Benzo et al. 10.1088/1742-6596/2767/4/042025
- Influences of lidar scanning parameters on wind turbine wake retrievals in complex terrain R. Robey & J. Lundquist 10.5194/wes-9-1905-2024
- Behavior and mechanisms of Doppler wind lidar error in varying stability regimes R. Robey & J. Lundquist 10.5194/amt-15-4585-2022
15 citations as recorded by crossref.
- Advancing airborne Doppler lidar wind profiling in turbulent boundary layer flow – an LES-based optimization of traditional scanning-beam versus novel fixed-beam measurement systems P. Gasch et al. 10.5194/amt-16-5495-2023
- Investigating Wind Characteristics and Temporal Variations in the Lower Troposphere over the Northeastern Qinghai–Tibet Plateau Using a Doppler LiDAR J. Zheng et al. 10.3390/rs16111840
- Synchronised WindScanner field measurements of the induction zone between two closely spaced wind turbines A. Kidambi Sekar et al. 10.5194/wes-9-1483-2024
- Behavior and mechanisms of Doppler wind lidar error in complex terrain: stable flow case study at Perdigão A. Black et al. 10.1088/1742-6596/2767/5/052062
- Information Analysis on Foreign Institution for International R&D Collaboration Using Natural Language Processing J. Jung et al. 10.3390/en16010033
- Evaluating wind profiles in a numerical weather prediction model with Doppler lidar P. Pentikäinen et al. 10.5194/gmd-16-2077-2023
- Comparing triple and single Doppler lidar wind measurements with sonic anemometer data based on a new filter strategy for virtual tower measurements K. Wolz et al. 10.5194/gi-13-205-2024
- Can lidars assess wind plant blockage in simple terrain? A WRF-LES study M. Sanchez Gomez et al. 10.1063/5.0103668
- Virtual tower measurements during the American WAKE ExperimeNt (AWAKEN) R. Newsom et al. 10.1063/5.0206844
- Tilted lidar profiling: Development and testing of a novel scanning strategy for inhomogeneous flows S. Letizia et al. 10.1063/5.0209729
- Investigation and statistical analysis of electrical energy production from the wind farm M. Alghamdi et al. 10.1063/5.0137760
- Assessment of Doppler Wind Lidar Detection Efficiency and Influencing Factors at Plateau Airport: A Case Study of Lhasa Gonggar Airport J. Wu et al. 10.3390/atmos15121530
- Comparing scanning lidar configurations for wake measurements based on the reduction of associated measurement uncertainties L. Hung et al. 10.1088/1742-6596/2505/1/012031
- Applying motion compensation to offshore wind lidar reconstructed wind measurements C. Benzo et al. 10.1088/1742-6596/2767/4/042025
- Influences of lidar scanning parameters on wind turbine wake retrievals in complex terrain R. Robey & J. Lundquist 10.5194/wes-9-1905-2024
1 citations as recorded by crossref.
Latest update: 14 Jan 2025
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.
Our work investigates the behavior of errors in remote-sensing wind lidar measurements due to...
