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https://doi.org/10.5194/amt-2021-397
https://doi.org/10.5194/amt-2021-397
 
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18 Feb 2022
18 Feb 2022
Status: a revised version of this preprint was accepted for the journal AMT and is expected to appear here in due course.

Determination of atmospheric column condensate using active and passive remote sensing technology

Huige Di1, Yun Yuan1, Qing Yan1, Wenhui Xin1, Shichun Li1, Jun Wang1, Yufeng Wang1, Lei Zhang2, and Dengxin Hua1 Huige Di et al.
  • 1School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, China
  • 2College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China

Abstract. To further exploit atmospheres cloud-water resources (CWR), it is necessary to correctly evaluate the amount of CWR in an area. CWR are hydrometeors that have not participated in precipitation formation at the surface and are suspended in the atmosphere to be exploited to maximize possible precipitation in the atmosphere (Zhou, Y., et al. (2020)). CWR includes three items: the existing hydrometeors at a time, the influx of atmospheric hydrometeors along the boundaries of the study area, and the mass of hydrometeors converted from water vapor through condensation or desublimation, defined as condensate. Condensate is the most important part of CWR. At present, there is a lack of effective observation methods for atmospheric column condensates, so the direct observation data of CWR are insufficient. The method for detecting atmospheric column condensate in the atmosphere is proposed and presented. The formation of condensate is closely related to atmospheric meteorological parameters (e.g., temperature and vertical airflow velocity). For stratiform clouds, the amount of atmospheric column condensate can be calculated by the saturated water vapor density and the ascending velocity at the cloud base and top. Active and passive remote sensing technology are applied to detect the mass of atmospheric column condensate. Combining millimetre-wave radar (MWR), lidar and microwave radiometers can well observe the vertical velocity and temperature at the cloud boundary. The detailed detection scheme and data calculation method are presented, and the presented method can realize the deduction of atmospheric column condensate. A case of cloud layer change before precipitation was monitored, and atmospheric column condensate was deduced and obtained. This is the first application, to our knowledge, to operate observations of atmospheric column condensates, which is significant for research on the hydrologic cycle and the assessment of cloud water resources.

Huige Di et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-397', Anonymous Referee #1, 10 Mar 2022
  • RC2: 'Comment on amt-2021-397', Anonymous Referee #2, 17 Mar 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-397', Anonymous Referee #1, 10 Mar 2022
  • RC2: 'Comment on amt-2021-397', Anonymous Referee #2, 17 Mar 2022

Huige Di et al.

Huige Di et al.

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Executive editor
The remote sensing observation of condensation water in cloud is realized by using active and passive remote sensing instruments. This is the first application, to our knowledge, of observations for atmospheric column condensate evaluation, which is significant for research on the hydrologic cycle and the assessment of cloud water resources.
Short summary
This paper presents a remote sensing method for detecting columnar condensation water in the atmosphere by using Lidar, MWR and microwave radiometer. The detailed detection scheme and data calculation method are given. A cloud precipitation process was observed, and columnar condensed water was obtained by active and passive instruments.