Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 24, issue 10
Articles | Volume 24, issue 10
https://doi.org/10.5194/acp-24-5783-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-5783-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 10
Research article
 | 
22 May 2024
Research article |  | 22 May 2024

The characteristics of cloud macro-parameters caused by the seeder–feeder process inside clouds measured by millimeter-wave cloud radar in Xi'an, China

Huige Di and Yun Yuan

Related authors

Atmospheric vertical structure variations during severe aerosol pollution events based on lidar observations
Qimeng Li, Huige Di, Ning Chen, Xiao Cheng, Jiaying Yang, Yun Yuan, Qing Yan, and Dengxin Hua
EGUsphere, https://doi.org/10.5194/egusphere-2025-5393,https://doi.org/10.5194/egusphere-2025-5393, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
The algorithm of microphysical-parameter profiles of aerosol and small cloud droplets based on the dual-wavelength lidar data
Huige Di, Xinhong Wang, Ning Chen, Jing Guo, Wenhui Xin, Shichun Li, Yan Guo, Qing Yan, Yufeng Wang, and Dengxin Hua
Atmos. Meas. Tech., 17, 4183–4196, https://doi.org/10.5194/amt-17-4183-2024,https://doi.org/10.5194/amt-17-4183-2024, 2024
Short summary
Detection and analysis of cloud boundary in Xi'an, China, employing 35 GHz cloud radar aided by 1064 nm lidar
Yun Yuan, Huige Di, Yuanyuan Liu, Tao Yang, Qimeng Li, Qing Yan, Wenhui Xin, Shichun Li, and Dengxin Hua
Atmos. Meas. Tech., 15, 4989–5006, https://doi.org/10.5194/amt-15-4989-2022,https://doi.org/10.5194/amt-15-4989-2022, 2022
Short summary
Determination of atmospheric column condensate using active and passive remote sensing technology
Huige Di, Yun Yuan, Qing Yan, Wenhui Xin, Shichun Li, Jun Wang, Yufeng Wang, Lei Zhang, and Dengxin Hua
Atmos. Meas. Tech., 15, 3555–3567, https://doi.org/10.5194/amt-15-3555-2022,https://doi.org/10.5194/amt-15-3555-2022, 2022
Short summary
Performance evaluation of an integrated path differential absorption LIDAR model for surface pressure from low-Earth orbit
Guanglie Hong, Yu Dong, and Huige Di
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-69,https://doi.org/10.5194/amt-2022-69, 2022
Revised manuscript not accepted
Short summary

Cited articles

Bergeron, T.: On the physics of clouds and precipitation, Proc. 5th Assembly UGGI, Lisbon, Portugal, 1935, 156–180 pp., 1935. 
Braham, R. R.: Cirrus Cloud Seeding as a Trigger for Storm Development, J. Atmos. Sci., 24, 311–312, https://doi.org/10.1175/1520-0469(1967)024<0311:CCSAAT>2.0.CO;2, 1967. 
Cheng, C. and Yi, F.: Falling Mixed-Phase Ice Virga and their Liquid Parent Cloud Layers as Observed by Ground-Based Lidars, Remote Sens.-Basel, 12, 2094, https://doi.org/10.3390/rs12132094, 2020. 
Choularton, T. W. and Perry, S. J.: A model of the orographic enhancement of snowfall by the seeder-feeder mechanism, Q. J. Roy. Meteor. Soc., 112, 335–345, https://doi.org/10.1002/qj.49711247204, 1986. 
Di, H., Yuan, Y., Yan, Q., Xin, W., Li, S., Wang, J., Wang, Y., Zhang, L., and Hua, D.: Determination of atmospheric column condensate using active and passive remote sensing technology, Atmos. Meas. Tech., 15, 3555–3567, https://doi.org/10.5194/amt-15-3555-2022, 2022. 
More articles (38)
Download
Short summary
We observed the seeder–feeder process among double-layer clouds using a cloud radar and microwave radiometer. By defining the parameters of the seeding depth and seeding time of the upper cloud affecting the lower cloud, we find that the cloud particle terminal velocity is significantly enhanced during the seeder–feeder period, and the lower the height and thinner the thickness of the height difference between double-layer clouds, the lower the height and thicker the thickness of seeding depth.
Read more
Share
Altmetrics
Final-revised paper
Preprint