Articles | Volume 10, issue 9
https://doi.org/10.5194/amt-10-3265-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-3265-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Mean wind vector estimation using the velocity–azimuth display (VAD) method: an explicit algebraic solution
Gerd Teschke
CORRESPONDING AUTHOR
Institute for Computational Mathematics in Science and Technology, University of Applied Sciences Neubrandenburg, Brodaer Str. 2, 17033 Neubrandenburg, Germany
Volker Lehmann
Deutscher Wetterdienst, Meteorologisches Observatorium Lindenberg, Am Observatorium 12, 15848 Tauche-Lindenberg, Germany
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- How Can Existing Ground-Based Profiling Instruments Improve European Weather Forecasts? A. Illingworth et al. https://doi.org/10.1175/BAMS-D-17-0231.1
- First Spaceborne Version of Velocity-Azimuth Display Technique for Wind Field Retrieval on Cloud and Precipitation Radar Y. Wang et al. https://doi.org/10.3390/atmos11101089
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- Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations S. Kotthaus et al. https://doi.org/10.5194/amt-16-433-2023
- Hybrid CNN–LGBM Model for Planetary Boundary Layer Height Estimation Combined With Temporal–Height–Spatial Features D. Zhao et al. https://doi.org/10.1109/TGRS.2025.3639069
- 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
- Reducing the Uncertainty of Lidar Measurements in Complex Terrain Using a Linear Model Approach M. Hofsäß et al. https://doi.org/10.3390/rs10091465
- Scan strategies for wind profiling with Doppler lidar – an large-eddy simulation (LES)-based evaluation C. Rahlves et al. https://doi.org/10.5194/amt-15-2839-2022
- Sub‐Cloud Turbulence Explains Cloud‐Base Updrafts for Shallow Cumulus Ensembles: First Observational Evidence Y. Zheng et al. https://doi.org/10.1029/2020GL091881
- 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
- Retrieval of the Characteristic Size of Raindrops for Wind Sensing Based on Dual-Polarization Radar Y. Peng et al. https://doi.org/10.1109/JSTARS.2021.3113651
- Autonomous Landing Control of Highly Flexible Aircraft Based on Lidar Preview in the Presence of Wind Turbulence P. Qi et al. https://doi.org/10.1109/TAES.2019.2892639
- Data Processing and Analysis of Eight-Beam Wind Profile Coherent Wind Measurement Lidar Y. Zhao et al. https://doi.org/10.3390/rs13183549
- How Can Existing Ground-Based Profiling Instruments Improve European Weather Forecasts? A. Illingworth et al. https://doi.org/10.1175/BAMS-D-17-0231.1
- First Spaceborne Version of Velocity-Azimuth Display Technique for Wind Field Retrieval on Cloud and Precipitation Radar Y. Wang et al. https://doi.org/10.3390/atmos11101089
- Noise filtering options for conically scanning Doppler lidar measurements with low pulse accumulation E. Päschke & C. Detring https://doi.org/10.5194/amt-17-3187-2024
- KSR-Huber: A Robust Method for Wind Vector Retrieval from Doppler Wind Lidar Observations Y. Zhao et al. https://doi.org/10.3390/rs18162698
- Evaluating modelled winds over an urban area using ground‐based Doppler lidar observations M. Filioglou et al. https://doi.org/10.1002/met.2052
- 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 approach to near-time data management for multi-city atmospheric environmental observation campaigns M. Zeeman et al. https://doi.org/10.5194/gi-13-393-2024
- Balloons and Quadcopters: Intercomparison of Two Low-Cost Wind Profiling Methods M. Varentsov et al. https://doi.org/10.3390/atmos12030380
- 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
- Wind retrieval from UAV-borne forward-detection lidar under limited field of view: ill-conditioning analysis and parameter optimization via least-squares framework J. Fang et al. https://doi.org/10.1364/OE.606311
Saved (final revised paper)
Latest update: 09 Sep 2026
Short summary
This paper deals with a sampling setup for Doppler profilers aiming at the determination of vertical profiles of the wind. An explicit solution for the retrieval of mean wind vectors under the assumption of local homogeneity is presented for the case of a symmetric velocity–azimuth display sampling, and a stability analysis is performed. Furthermore, the explicit solution allows a detailed investigation of the propagation of radial wind measurement errors on the retrieved wind vector.
This paper deals with a sampling setup for Doppler profilers aiming at the determination of...