Articles | Volume 15, issue 2
https://doi.org/10.5194/bg-15-631-2018
https://doi.org/10.5194/bg-15-631-2018
Research article
 | 
31 Jan 2018
Research article |  | 31 Jan 2018

New gap-filling and partitioning technique for H2O eddy fluxes measured over forests

Minseok Kang, Joon Kim, Bindu Malla Thakuri, Junghwa Chun, and Chunho Cho

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (Editor review) (10 Sep 2017) by Georg Wohlfahrt
AR by Minseok Kang on behalf of the Authors (24 Sep 2017)  Author's response   Manuscript 
ED: Reconsider after major revisions (17 Oct 2017) by Georg Wohlfahrt
AR by Minseok Kang on behalf of the Authors (26 Nov 2017)
ED: Publish subject to technical corrections (29 Nov 2017) by Georg Wohlfahrt
AR by Minseok Kang on behalf of the Authors (05 Dec 2017)  Author's response   Manuscript 
Download
Short summary
We proposed a new data processing technique to reduce the uncertainty of H2O fluxes measured using the eddy covariance method, which is widely used to observe mass/energy fluxes between biosphere and atmosphere. A special feature of the proposed technique is the merging of two existing methods a new method. Such a strategy strengthens the strength and makes up for the weakness of the original methods. It will contribute to the standardization of eddy covariance data processing.
Altmetrics
Final-revised paper
Preprint