Articles | Volume 15, issue 11
https://doi.org/10.5194/amt-15-3555-2022
https://doi.org/10.5194/amt-15-3555-2022
Research article
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14 Jun 2022
Research article | Highlight paper |  | 14 Jun 2022

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

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Interactive discussion

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

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Yun Yuan on behalf of the Authors (06 Apr 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (11 May 2022) by Pinhua Xie
RR by Anonymous Referee #1 (12 May 2022)
ED: Publish as is (12 May 2022) by Pinhua Xie
AR by Yun Yuan on behalf of the Authors (20 May 2022)
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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
It is necessary to correctly evaluate the amount of cloud water resources in an area. Currently, there is a lack of effective observation methods for atmospheric column condensate evaluation. We propose a method for atmospheric column condensate by combining millimetre cloud radar, lidar and microwave radiometers. The method can realise determination of atmospheric column condensate. The variation of cloud before precipitation is considered, and the atmospheric column is deduced and obtained.