Preprints
https://doi.org/10.5194/egusphere-2023-1608
https://doi.org/10.5194/egusphere-2023-1608
16 Aug 2023
 | 16 Aug 2023

Identification of stratospheric disturbance information in China based on round-trip intelligent sounding system

Yang He, Xiaoqian Zhu, Zheng Sheng, and Mingyuan He

Abstract. Assessing the role of physical processes in the stratosphere under climate change has been one of the hottest topics over the past few decades. However, due to the limitation of detection technique, the stratospheric disturbance information from in situ observation is still relatively scarce. The round-trip intelligent sounding system (RTISS) is a new detection technology developed in recent years, which can capture atmospheric fine structure information of the troposphere and stratosphere through the three-stage (rising, flat-floating, and falling) detection. Based on the structure function and singular measure, we quantify the stratospheric small-scale gravity wave (SGW) over China by Hurst parameter and intermittency parameter, and discuss its relationship with inertia-gravity wave (IGW). The results show that the enhancement of the SGWs in the stratosphere is accompanied by the weakening of the IGWs below, which is closely related to the Kelvin-Helmholtz instability (KHI), and is conducive to the transport of ozone to higher altitudes from lower stratosphere. The parameter space (H1, C1) shows sufficient potential in the analysis of stratospheric disturbances and their role in material transport and energy transfer.

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Journal article(s) based on this preprint

27 Mar 2024
Identification of stratospheric disturbance information in China based on the round-trip intelligent sounding system
Yang He, Xiaoqian Zhu, Zheng Sheng, and Mingyuan He
Atmos. Chem. Phys., 24, 3839–3856, https://doi.org/10.5194/acp-24-3839-2024,https://doi.org/10.5194/acp-24-3839-2024, 2024
Short summary
Yang He, Xiaoqian Zhu, Zheng Sheng, and Mingyuan He

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1608', Anonymous Referee #1, 23 Sep 2023
    • AC1: 'Reply on RC1', Yang He, 04 Dec 2023
  • RC2: 'Comment on egusphere-2023-1608', Anonymous Referee #2, 13 Oct 2023
    • AC2: 'Reply on RC2', Yang He, 04 Dec 2023

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1608', Anonymous Referee #1, 23 Sep 2023
    • AC1: 'Reply on RC1', Yang He, 04 Dec 2023
  • RC2: 'Comment on egusphere-2023-1608', Anonymous Referee #2, 13 Oct 2023
    • AC2: 'Reply on RC2', Yang He, 04 Dec 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Yang He on behalf of the Authors (04 Dec 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (05 Dec 2023) by Jerome Brioude
RR by Anonymous Referee #1 (25 Dec 2023)
RR by Anonymous Referee #3 (29 Dec 2023)
ED: Publish subject to minor revisions (review by editor) (07 Jan 2024) by Jerome Brioude
AR by Yang He on behalf of the Authors (23 Jan 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (01 Feb 2024) by Jerome Brioude
AR by Yang He on behalf of the Authors (03 Feb 2024)  Manuscript 

Journal article(s) based on this preprint

27 Mar 2024
Identification of stratospheric disturbance information in China based on the round-trip intelligent sounding system
Yang He, Xiaoqian Zhu, Zheng Sheng, and Mingyuan He
Atmos. Chem. Phys., 24, 3839–3856, https://doi.org/10.5194/acp-24-3839-2024,https://doi.org/10.5194/acp-24-3839-2024, 2024
Short summary
Yang He, Xiaoqian Zhu, Zheng Sheng, and Mingyuan He
Yang He, Xiaoqian Zhu, Zheng Sheng, and Mingyuan He

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Latest update: 18 Sep 2024
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Short summary
The round-trip intelligent sounding system (RTISS) is a new detection technology developed in recent years, which can capture atmospheric fine structure information through the three-stage (rising, flat-floating, and falling) detection. Based on RTISS, we have developed a method to quantify stratospheric atmospheric disturbance information, which shows sufficient potential in the analysis of stratospheric disturbances and their role in material transport and energy transfer.