Articles | Volume 29, issue 1
Nonlin. Processes Geophys., 29, 123–131, 2022
https://doi.org/10.5194/npg-29-123-2022
Nonlin. Processes Geophys., 29, 123–131, 2022
https://doi.org/10.5194/npg-29-123-2022
Research article
24 Mar 2022
Research article | 24 Mar 2022

Characteristics of intrinsic non-stationarity and its effect on eddy-covariance measurements of CO2 fluxes

Lei Liu et al.

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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 npg-2021-27', Anonymous Referee #1, 24 Oct 2021
    • AC2: 'Reply on RC1', Lei Liu, 11 Dec 2021
  • RC2: 'Comment on npg-2021-27', Anonymous Referee #2, 01 Nov 2021
    • AC3: 'Reply on RC2', Lei Liu, 11 Dec 2021
  • EC1: 'Comment on npg-2021-27', Harindra Joseph Fernando, 01 Nov 2021
    • AC1: 'Reply on EC1', Lei Liu, 11 Dec 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Lei Liu on behalf of the Authors (11 Dec 2021)  Author's response    Manuscript
ED: Reconsider after major revisions (further review by editor and referees) (15 Dec 2021) by Harindra Joseph Fernando
ED: Reconsider after major revisions (further review by editor and referees) (24 Dec 2021) by Harindra Joseph Fernando
ED: Reconsider after major revisions (further review by editor and referees) (01 Feb 2022) by Harindra Joseph Fernando
ED: Referee Nomination & Report Request started (03 Feb 2022) by Harindra Joseph Fernando
RR by Anonymous Referee #1 (13 Feb 2022)
RR by Anonymous Referee #2 (17 Feb 2022)
ED: Publish subject to minor revisions (review by editor) (17 Feb 2022) by Harindra Joseph Fernando
AR by Lei Liu on behalf of the Authors (23 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (24 Feb 2022) by Harindra Joseph Fernando
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Short summary
We find a new kind of non-stationarity. This new kind of non-stationarity is caused by the intrinsic randomness. Results show that the new kind of non-stationarity is widespread in small-scale variations of CO2 turbulent fluxes. This finding reminds us that we need to handle the short-term averaged turbulent fluxes carefully, and we also need to re-screen the existing non-stationarity diagnosis methods because they could make a wrong diagnosis due to this new kind of non-stationarity.