Articles | Volume 11, issue 10
https://doi.org/10.5194/amt-11-5925-2018
© Author(s) 2018. 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-11-5925-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Oct 2018
Research article |
| 26 Oct 2018
| 26 Oct 2018
Combining cloud radar and radar wind profiler for a value added estimate of vertical air motion and particle terminal velocity within clouds
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Johannes Bühl
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Volker Lehmann
Meteorologisches Observatorium Lindenberg/Richard-Aßmann-Observatorium, Deutscher Wetterdienst, Tauche, Germany
Ulrich Görsdorf
Meteorologisches Observatorium Lindenberg/Richard-Aßmann-Observatorium, Deutscher Wetterdienst, Tauche, Germany
Ronny Leinweber
Meteorologisches Observatorium Lindenberg/Richard-Aßmann-Observatorium, Deutscher Wetterdienst, Tauche, Germany
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Cited
18 citations as recorded by crossref.
- On the Estimation of In‐Cloud Vertical Air Motion Using Radar Doppler Spectra Z. Zhu et al. https://doi.org/10.1029/2020GL090682
- Remote sensing of raindrop size distribution using the coherent Doppler lidar T. Wei et al. https://doi.org/10.1364/OE.426326
- Ice-nucleating particle versus ice crystal number concentrationin altocumulus and cirrus layers embedded in Saharan dust:a closure study A. Ansmann et al. https://doi.org/10.5194/acp-19-15087-2019
- peakTree: a framework for structure-preserving radar Doppler spectra analysis M. Radenz et al. https://doi.org/10.5194/amt-12-4813-2019
- Effects of secondary ice processes on a stratocumulus to cumulus transition during a cold-air outbreak M. Karalis et al. https://doi.org/10.1016/j.atmosres.2022.106302
- 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
- Wind Velocity Profile Estimation Based on GAT–Transformer Model for Boundary Layer Radar Wind Profiler D. Zhao et al. https://doi.org/10.1109/TGRS.2026.3692966
- Calibrating radar wind profiler reflectivity factor using surface disdrometer observations C. Williams et al. https://doi.org/10.5194/amt-16-2381-2023
- Multifeature Dynamic Weighting Moments Estimation for Boundary Layer Radar Wind Profiler D. Zhao et al. https://doi.org/10.1109/TGRS.2024.3510750
- Technical note: Identification of two ice-nucleating regimes for dust-related cirrus clouds based on the relationship between number concentrations of ice-nucleating particles and ice crystals Y. He et al. https://doi.org/10.5194/acp-22-13067-2022
- Investigation on cloud vertical structures based on Ka-band cloud radar observations at Wuhan in Central China J. Fang et al. https://doi.org/10.1016/j.atmosres.2022.106492
- Retrieval of Water Cloud Optical and Microphysical Properties from Combined Multiwavelength Lidar and Radar Data Y. Zhang et al. https://doi.org/10.3390/rs13214396
- Improved Moments Estimation for Ground-Based K-Band Doppler Radar Using Cost Function Method Y. Li et al. https://doi.org/10.1109/ACCESS.2022.3159690
- Multiple Characteristics of Precipitation Inferred from Wind Profiler Radar Doppler Spectra A. Garcia-Benadi et al. https://doi.org/10.3390/rs14195023
- Research on the inversion method of vertical airflow motion in complex phase layered clouds Y. Yuan et al. https://doi.org/10.1016/j.atmosres.2026.108843
- Evaluation of the reflectivity calibration of W-band radars based on observations in rain A. Myagkov et al. https://doi.org/10.5194/amt-13-5799-2020
- Ice crystal number concentration from lidar, cloud radar and radar wind profiler measurements J. Bühl et al. https://doi.org/10.5194/amt-12-6601-2019
- Coherent Doppler lidar for aerosol-cloud-dynamics interaction studies operating at 532.25 nm with a 3.2 GHz data acquisition F. Fritzsch et al. https://doi.org/10.1051/epjconf/202636201005
18 citations as recorded by crossref.
- On the Estimation of In‐Cloud Vertical Air Motion Using Radar Doppler Spectra Z. Zhu et al. https://doi.org/10.1029/2020GL090682
- Remote sensing of raindrop size distribution using the coherent Doppler lidar T. Wei et al. https://doi.org/10.1364/OE.426326
- Ice-nucleating particle versus ice crystal number concentrationin altocumulus and cirrus layers embedded in Saharan dust:a closure study A. Ansmann et al. https://doi.org/10.5194/acp-19-15087-2019
- peakTree: a framework for structure-preserving radar Doppler spectra analysis M. Radenz et al. https://doi.org/10.5194/amt-12-4813-2019
- Effects of secondary ice processes on a stratocumulus to cumulus transition during a cold-air outbreak M. Karalis et al. https://doi.org/10.1016/j.atmosres.2022.106302
- 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
- Wind Velocity Profile Estimation Based on GAT–Transformer Model for Boundary Layer Radar Wind Profiler D. Zhao et al. https://doi.org/10.1109/TGRS.2026.3692966
- Calibrating radar wind profiler reflectivity factor using surface disdrometer observations C. Williams et al. https://doi.org/10.5194/amt-16-2381-2023
- Multifeature Dynamic Weighting Moments Estimation for Boundary Layer Radar Wind Profiler D. Zhao et al. https://doi.org/10.1109/TGRS.2024.3510750
- Technical note: Identification of two ice-nucleating regimes for dust-related cirrus clouds based on the relationship between number concentrations of ice-nucleating particles and ice crystals Y. He et al. https://doi.org/10.5194/acp-22-13067-2022
- Investigation on cloud vertical structures based on Ka-band cloud radar observations at Wuhan in Central China J. Fang et al. https://doi.org/10.1016/j.atmosres.2022.106492
- Retrieval of Water Cloud Optical and Microphysical Properties from Combined Multiwavelength Lidar and Radar Data Y. Zhang et al. https://doi.org/10.3390/rs13214396
- Improved Moments Estimation for Ground-Based K-Band Doppler Radar Using Cost Function Method Y. Li et al. https://doi.org/10.1109/ACCESS.2022.3159690
- Multiple Characteristics of Precipitation Inferred from Wind Profiler Radar Doppler Spectra A. Garcia-Benadi et al. https://doi.org/10.3390/rs14195023
- Research on the inversion method of vertical airflow motion in complex phase layered clouds Y. Yuan et al. https://doi.org/10.1016/j.atmosres.2026.108843
- Evaluation of the reflectivity calibration of W-band radars based on observations in rain A. Myagkov et al. https://doi.org/10.5194/amt-13-5799-2020
- Ice crystal number concentration from lidar, cloud radar and radar wind profiler measurements J. Bühl et al. https://doi.org/10.5194/amt-12-6601-2019
- Coherent Doppler lidar for aerosol-cloud-dynamics interaction studies operating at 532.25 nm with a 3.2 GHz data acquisition F. Fritzsch et al. https://doi.org/10.1051/epjconf/202636201005
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
Ultra-high-frequency radar wind profilers are widely used for remote sensing of horizontal and vertical wind velocity. They emit electromagnetic radiation at a wavelength of 60 cm and receive signals from both falling particles and the air itself. In this paper, we describe a method to separate both signal components with the help of an additional cloud radar system in order to come up with undisturbed measurements of both vertical air velocity and the fall velocity of particles.
Ultra-high-frequency radar wind profilers are widely used for remote sensing of horizontal and...
