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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Jul 2025
Research article |
| 16 Jul 2025
| 16 Jul 2025
Turbulent transport extraction in time and frequency and the estimation of eddy fluxes at high resolution
Gabriel Destouet
CORRESPONDING AUTHOR
UMR SILVA, INRAE, AgroParisTech, Université de Lorraine, Nancy, France
Nikola Besic
Laboratoire d'Inventaire Forestier, IGN, ENSG, Nancy, France
Emilie Joetzjer
UMR SILVA, INRAE, AgroParisTech, Université de Lorraine, Nancy, France
Matthias Cuntz
UMR SILVA, INRAE, AgroParisTech, Université de Lorraine, Nancy, France
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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.
Over the past two decades, global flux tower networks have provided valuable insights into...
