Articles | Volume 15, issue 9
https://doi.org/10.5194/amt-15-2839-2022
© 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-15-2839-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 May 2022
Research article |
| 09 May 2022
| 09 May 2022
Scan strategies for wind profiling with Doppler lidar – an large-eddy simulation (LES)-based evaluation
Charlotte Rahlves
CORRESPONDING AUTHOR
Institute of Meteorology and Climatology, Leibniz University Hannover, Hanover, Germany
Frank Beyrich
Meteorological Observatory Lindenberg, Richard-Aßmann-Observatory, German Meteorological Service, Lindenberg, Germany
Siegfried Raasch
Institute of Meteorology and Climatology, Leibniz University Hannover, Hanover, Germany
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Cited
18 citations as recorded by crossref.
- Evaluating wind profiles in a numerical weather prediction model with Doppler lidar P. Pentikäinen et al. https://doi.org/10.5194/gmd-16-2077-2023
- Impacts of atmospheric turbulence on optic measurements over heterogeneous flat terrain: insights from large eddy simulations G. Kermarrec et al. https://doi.org/10.1364/OE.540584
- Research on impact of range resolutions on wind detection performance using virtual lidar J. Liu et al. https://doi.org/10.1364/OE.562053
- Retrieval of Dual-Doppler Lidar Wind Fields at Jeju International Airport with Multi-Sensor Evaluation S. Baek et al. https://doi.org/10.5515/KJKIEES.2025.36.12.1211
- 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. https://doi.org/10.5194/amt-16-5495-2023
- Quantitative evaluation of turbulence reconstruction algorithms for flux estimation based on the characteristics of atmospheric turbulence Z. Liu et al. https://doi.org/10.1063/5.0279166
- On a Correlation Model for Laser Scanners: A Large Eddy Simulation Experiment G. Kermarrec https://doi.org/10.3390/rs16193545
- Tilted lidar profiling: Development and testing of a novel scanning strategy for inhomogeneous flows S. Letizia et al. https://doi.org/10.1063/5.0209729
- Behavior and mechanisms of Doppler wind lidar error in varying stability regimes R. Robey & J. Lundquist https://doi.org/10.5194/amt-15-4585-2022
- Evaluation of Doppler wind lidar for advanced air mobility A. Medina et al. https://doi.org/10.1117/1.JRS.19.014509
- 双向长短期记忆网络在激光雷达风廓线预测的应用 廉. Lian Wenchao et al. https://doi.org/10.3788/AOS240891
- Synchronised WindScanner field measurements of the induction zone between two closely spaced wind turbines A. Kidambi Sekar et al. https://doi.org/10.5194/wes-9-1483-2024
- 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. https://doi.org/10.5194/gi-13-205-2024
- Evaluation of energy balance closure adjustment and imbalance prediction methods in the convective boundary layer – A large eddy simulation study Y. Zhou et al. https://doi.org/10.1016/j.agrformet.2023.109382
- How Does Turbulent Organized Structure Influence Surface Energy Balance Closure? A Study Utilizing Large-Eddy Simulation H. Liu et al. https://doi.org/10.1007/s10546-024-00888-4
- Harmonised boundary layer wind profile dataset from six ground-based Doppler wind lidars in a transect across Paris, France W. Morrison et al. https://doi.org/10.5194/essd-17-6507-2025
- Modular wind profile retrieval software for heterogeneous Doppler lidar measurements (AtmoProKIT v1.1) A. Erdmann & P. Gasch https://doi.org/10.5194/gmd-19-2497-2026
- Surface Layer Cellular Structure in Convective Boundary Layer: Equilibrium and Maintenance Mechanisms H. Liu et al. https://doi.org/10.1007/s10546-026-00985-6
18 citations as recorded by crossref.
- Evaluating wind profiles in a numerical weather prediction model with Doppler lidar P. Pentikäinen et al. https://doi.org/10.5194/gmd-16-2077-2023
- Impacts of atmospheric turbulence on optic measurements over heterogeneous flat terrain: insights from large eddy simulations G. Kermarrec et al. https://doi.org/10.1364/OE.540584
- Research on impact of range resolutions on wind detection performance using virtual lidar J. Liu et al. https://doi.org/10.1364/OE.562053
- Retrieval of Dual-Doppler Lidar Wind Fields at Jeju International Airport with Multi-Sensor Evaluation S. Baek et al. https://doi.org/10.5515/KJKIEES.2025.36.12.1211
- 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. https://doi.org/10.5194/amt-16-5495-2023
- Quantitative evaluation of turbulence reconstruction algorithms for flux estimation based on the characteristics of atmospheric turbulence Z. Liu et al. https://doi.org/10.1063/5.0279166
- On a Correlation Model for Laser Scanners: A Large Eddy Simulation Experiment G. Kermarrec https://doi.org/10.3390/rs16193545
- Tilted lidar profiling: Development and testing of a novel scanning strategy for inhomogeneous flows S. Letizia et al. https://doi.org/10.1063/5.0209729
- Behavior and mechanisms of Doppler wind lidar error in varying stability regimes R. Robey & J. Lundquist https://doi.org/10.5194/amt-15-4585-2022
- Evaluation of Doppler wind lidar for advanced air mobility A. Medina et al. https://doi.org/10.1117/1.JRS.19.014509
- 双向长短期记忆网络在激光雷达风廓线预测的应用 廉. Lian Wenchao et al. https://doi.org/10.3788/AOS240891
- Synchronised WindScanner field measurements of the induction zone between two closely spaced wind turbines A. Kidambi Sekar et al. https://doi.org/10.5194/wes-9-1483-2024
- 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. https://doi.org/10.5194/gi-13-205-2024
- Evaluation of energy balance closure adjustment and imbalance prediction methods in the convective boundary layer – A large eddy simulation study Y. Zhou et al. https://doi.org/10.1016/j.agrformet.2023.109382
- How Does Turbulent Organized Structure Influence Surface Energy Balance Closure? A Study Utilizing Large-Eddy Simulation H. Liu et al. https://doi.org/10.1007/s10546-024-00888-4
- Harmonised boundary layer wind profile dataset from six ground-based Doppler wind lidars in a transect across Paris, France W. Morrison et al. https://doi.org/10.5194/essd-17-6507-2025
- Modular wind profile retrieval software for heterogeneous Doppler lidar measurements (AtmoProKIT v1.1) A. Erdmann & P. Gasch https://doi.org/10.5194/gmd-19-2497-2026
- Surface Layer Cellular Structure in Convective Boundary Layer: Equilibrium and Maintenance Mechanisms H. Liu et al. https://doi.org/10.1007/s10546-026-00985-6
Saved (final revised paper)
Latest update: 15 Jun 2026
Short summary
Lidars can measure the wind profile in the lower part of the atmosphere, provided that the wind field is horizontally uniform and does not change during the time of the measurement. These requirements are mostly not fulfilled in reality, and the lidar wind measurement will thus hold a certain error. We investigate different strategies for lidar wind profiling using a lidar simulator implemented in a numerical simulation of the wind field. Our findings can help to improve wind measurements.
Lidars can measure the wind profile in the lower part of the atmosphere, provided that the wind...
