Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.480
IF3.480
IF 5-year value: 4.194
IF 5-year
4.194
CiteScore value: 6.7
CiteScore
6.7
SNIP value: 1.143
SNIP1.143
IPP value: 3.65
IPP3.65
SJR value: 1.761
SJR1.761
Scimago H <br class='widget-line-break'>index value: 118
Scimago H
index
118
h5-index value: 60
h5-index60
Download
Short summary
Using a simulation study and field data, we quantify the biases that can be introduced in fluxes measured by eddy covariance (EC) if the raw high-frequency data are affected by random and systematic timing misalignments. Our study was motivated by the increasingly widespread adoption of fully digital EC systems potentially subject to such timing errors. We found biases as large as 10 %. We further propose a test to evaluate EC data logging systems for their time synchronization capabilities.
Altmetrics
Final-revised paper
Preprint
BG | Articles | Volume 15, issue 17
Biogeosciences, 15, 5473–5487, 2018
https://doi.org/10.5194/bg-15-5473-2018
Biogeosciences, 15, 5473–5487, 2018
https://doi.org/10.5194/bg-15-5473-2018

Research article 14 Sep 2018

Research article | 14 Sep 2018

Eddy covariance flux errors due to random and systematic timing errors during data acquisition

Gerardo Fratini et al.

Viewed

Total article views: 1,763 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,144 596 23 1,763 22 39
  • HTML: 1,144
  • PDF: 596
  • XML: 23
  • Total: 1,763
  • BibTeX: 22
  • EndNote: 39
Views and downloads (calculated since 23 Apr 2018)
Cumulative views and downloads (calculated since 23 Apr 2018)

Viewed (geographical distribution)

Total article views: 1,626 (including HTML, PDF, and XML) Thereof 1,617 with geography defined and 9 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 20 Jan 2021
Publications Copernicus
Download
Short summary
Using a simulation study and field data, we quantify the biases that can be introduced in fluxes measured by eddy covariance (EC) if the raw high-frequency data are affected by random and systematic timing misalignments. Our study was motivated by the increasingly widespread adoption of fully digital EC systems potentially subject to such timing errors. We found biases as large as 10 %. We further propose a test to evaluate EC data logging systems for their time synchronization capabilities.
Citation
Altmetrics
Final-revised paper
Preprint