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

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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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 Anna Mirena Feist-Polner on behalf of the Authors (29 Nov 2017)  Author's response    Manuscript
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
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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.
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