Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 13
Articles | Volume 18, issue 13
https://doi.org/10.5194/amt-18-3193-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-3193-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 13
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

Viewed

Total article views: 4,075 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,401 1,496 178 4,075 155 220
  • HTML: 2,401
  • PDF: 1,496
  • XML: 178
  • Total: 4,075
  • BibTeX: 155
  • EndNote: 220
Views and downloads (calculated since 15 Nov 2024)
Cumulative views and downloads (calculated since 15 Nov 2024)

Viewed (geographical distribution)

Total article views: 4,075 (including HTML, PDF, and XML) Thereof 4,027 with geography defined and 48 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 08 Jun 2026
Download
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.
Read more
Share