Articles | Volume 21, issue 20
https://doi.org/10.5194/acp-21-15589-2021
https://doi.org/10.5194/acp-21-15589-2021
Technical note
 | 
18 Oct 2021
Technical note |  | 18 Oct 2021

Technical note: Uncertainties in eddy covariance CO2 fluxes in a semiarid sagebrush ecosystem caused by gap-filling approaches

Jingyu Yao, Zhongming Gao, Jianping Huang, Heping Liu, and Guoyin Wang

Viewed

Total article views: 1,756 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,202 508 46 1,756 20 30
  • HTML: 1,202
  • PDF: 508
  • XML: 46
  • Total: 1,756
  • BibTeX: 20
  • EndNote: 30
Views and downloads (calculated since 28 Jul 2021)
Cumulative views and downloads (calculated since 28 Jul 2021)

Viewed (geographical distribution)

Total article views: 1,756 (including HTML, PDF, and XML) Thereof 1,735 with geography defined and 21 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Feb 2024
Download
Short summary
Gap-filling usually accounts for a large source of uncertainties in the annual CO2 fluxes, though gap-filling CO2 fluxes is challenging at dryland sites due to small fluxes. Using data collected from a semiarid site, four machine learning methods are evaluated with different lengths of artificial gaps. The artificial neural network and random forest methods outperform the other methods. With these methods, uncertainties in the annual CO2 flux at this site are estimated to be within 16 g C m−2.
Altmetrics
Final-revised paper
Preprint