Articles | Volume 21, issue 20
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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-631', Anonymous Referee #1, 17 Aug 2021
  • RC2: 'Comment on acp-2021-631', Anonymous Referee #2, 31 Aug 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jingyu Yao on behalf of the Authors (23 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (25 Sep 2021) by Hailong Wang
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.
Final-revised paper