Articles | Volume 15, issue 16
https://doi.org/10.5194/amt-15-4989-2022
© 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-15-4989-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Detection and analysis of cloud boundary in Xi'an, China, employing 35 GHz cloud radar aided by 1064 nm lidar
Yun Yuan
School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China
Huige Di
CORRESPONDING AUTHOR
School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China
Yuanyuan Liu
School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China
Tao Yang
School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China
Qimeng Li
School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China
Qing Yan
School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China
Wenhui Xin
School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China
Shichun Li
School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China
Dengxin Hua
CORRESPONDING AUTHOR
School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China
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Cited
13 citations as recorded by crossref.
- Cloud Characteristics in South China Using Ka-Band Millimeter Cloud Radar Datasets H. Li et al. https://doi.org/10.3390/atmos15040486
- A Cloud Detection Method for Vertically Pointing Millimeter-Wavelength Cloud Radar H. Lin et al. https://doi.org/10.3390/s23218891
- A 94 GHz Pulse Doppler Solid-State Millimeter-Wave Cloud Radar H. Lin et al. https://doi.org/10.3390/rs15123098
- The characteristics of cloud macro-parameters caused by the seeder–feeder process inside clouds measured by millimeter-wave cloud radar in Xi'an, China H. Di & Y. Yuan https://doi.org/10.5194/acp-24-5783-2024
- Microphysical Processes and Enhancement Effect of Natural Seeder-Feeder in Stratiform Snowfall Observed by Millimeter-Wave Cloud Radar Y. Yuan et al. https://doi.org/10.1109/TGRS.2024.3525010
- 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
- Ka-Band Cloud Radar Meteorological Echo Dataset With Complex Weather Coverage: Baseline Models for Deep Learning Applications W. Zou et al. https://doi.org/10.1109/TGRS.2025.3577556
- Study on the Parameter Distributions of Three Types of Cloud Precipitation in Xi’an Based on Millimeter-Wave Cloud Radar and Precipitation Data Q. Chen et al. https://doi.org/10.3390/rs17172947
- 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
- Robust Lidar-Radar Composite Cloud Boundary Detection Method With Rainfall Pixels Removal W. Zou et al. https://doi.org/10.1109/TGRS.2024.3476127
- Study on the life cycle of an ice cloud system over the Taklamakan desert using multi-source data L. Su et al. https://doi.org/10.5194/amt-19-2657-2026
- An Observational Study of Low-Level Windshear at Hong Kong International Airport in Late Autumn and Early Winter P. Chan et al. https://doi.org/10.3390/atmos17020202
- Quality assessment of aerosol lidars at 1064 nm in the framework of the MEMO campaign L. Wang et al. https://doi.org/10.5194/amt-16-4307-2023
13 citations as recorded by crossref.
- Cloud Characteristics in South China Using Ka-Band Millimeter Cloud Radar Datasets H. Li et al. https://doi.org/10.3390/atmos15040486
- A Cloud Detection Method for Vertically Pointing Millimeter-Wavelength Cloud Radar H. Lin et al. https://doi.org/10.3390/s23218891
- A 94 GHz Pulse Doppler Solid-State Millimeter-Wave Cloud Radar H. Lin et al. https://doi.org/10.3390/rs15123098
- The characteristics of cloud macro-parameters caused by the seeder–feeder process inside clouds measured by millimeter-wave cloud radar in Xi'an, China H. Di & Y. Yuan https://doi.org/10.5194/acp-24-5783-2024
- Microphysical Processes and Enhancement Effect of Natural Seeder-Feeder in Stratiform Snowfall Observed by Millimeter-Wave Cloud Radar Y. Yuan et al. https://doi.org/10.1109/TGRS.2024.3525010
- 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
- Ka-Band Cloud Radar Meteorological Echo Dataset With Complex Weather Coverage: Baseline Models for Deep Learning Applications W. Zou et al. https://doi.org/10.1109/TGRS.2025.3577556
- Study on the Parameter Distributions of Three Types of Cloud Precipitation in Xi’an Based on Millimeter-Wave Cloud Radar and Precipitation Data Q. Chen et al. https://doi.org/10.3390/rs17172947
- 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
- Robust Lidar-Radar Composite Cloud Boundary Detection Method With Rainfall Pixels Removal W. Zou et al. https://doi.org/10.1109/TGRS.2024.3476127
- Study on the life cycle of an ice cloud system over the Taklamakan desert using multi-source data L. Su et al. https://doi.org/10.5194/amt-19-2657-2026
- An Observational Study of Low-Level Windshear at Hong Kong International Airport in Late Autumn and Early Winter P. Chan et al. https://doi.org/10.3390/atmos17020202
- Quality assessment of aerosol lidars at 1064 nm in the framework of the MEMO campaign L. Wang et al. https://doi.org/10.5194/amt-16-4307-2023
Saved (final revised paper)
Latest update: 13 Sep 2026
Short summary
We put forward a new algorithm for joint observation of the cloud boundary by lidar and Ka-band millimetre-wave cloud radar. Cloud cover and boundary distribution characteristics are analysed from December 2020 to November 2021 in Xi'an. More than 34 % of clouds appear as a single layer every month. The maximum and minimum normalized cloud cover occurs in summer and winter, respectively. The study can provide more information on aerosol–cloud interactions and forecasting numerical models.
We put forward a new algorithm for joint observation of the cloud boundary by lidar and Ka-band...