Articles | Volume 18, issue 13
https://doi.org/10.5194/amt-18-3193-2025
https://doi.org/10.5194/amt-18-3193-2025
Research article
 | 
16 Jul 2025
Research article |  | 16 Jul 2025

Turbulent transport extraction in time and frequency and the estimation of eddy fluxes at high resolution

Gabriel Destouet, Nikola Besic, Emilie Joetzjer, and Matthias Cuntz

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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 egusphere-2024-3243', Anonymous Referee #1, 07 Dec 2024
    • AC1: 'Reply on RC1', Gabriel Destouet, 20 Mar 2025
  • RC2: 'Comment on egusphere-2024-3243', Anonymous Referee #2, 23 Jan 2025
    • AC2: 'Reply on RC2', Gabriel Destouet, 20 Mar 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Gabriel Destouet on behalf of the Authors (27 Mar 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (28 Mar 2025) by Yuanjian Yang
RR by Anonymous Referee #1 (10 Apr 2025)
RR by Anonymous Referee #2 (14 Apr 2025)
ED: Publish as is (26 Apr 2025) by Yuanjian Yang
AR by Gabriel Destouet on behalf of the Authors (30 Apr 2025)
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Short summary
Over the past two decades, global flux tower networks have provided valuable insights into ecosystem functioning. However, the standard eddy-covariance method used for processing flux data has limitations, leading to data loss and limited resolution due to fixed time steps. This paper introduces a new method using wavelet analysis to increase temporal resolution and improve data retention. Applied at the Hesse forest flux tower in France, this approach provides high-resolution flux estimates, enhancing the accuracy of flux measurements.
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