Articles | Volume 14, issue 6
https://doi.org/10.5194/bg-14-1457-2017
https://doi.org/10.5194/bg-14-1457-2017
Technical note
 | 
23 Mar 2017
Technical note |  | 23 Mar 2017

Technical note: Dynamic INtegrated Gap-filling and partitioning for OzFlux (DINGO)

Jason Beringer, Ian McHugh, Lindsay B. Hutley, Peter Isaac, and Natascha Kljun

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (05 Oct 2016) by Dario Papale
AR by Jason Beringer on behalf of the Authors (31 Jan 2017)  Manuscript 
ED: Publish subject to minor revisions (Editor review) (31 Jan 2017) by Dario Papale
AR by Jason Beringer on behalf of the Authors (07 Feb 2017)  Author's response   Manuscript 
ED: Publish as is (07 Feb 2017) by Dario Papale
AR by Jason Beringer on behalf of the Authors (02 Mar 2017)  Manuscript 
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Short summary
Standardised, quality-controlled and robust data from flux networks underpin the understanding of ecosystem processes and tools to manage our natural resources. The Dynamic INtegrated Gap-filling and partitioning for OzFlux (DINGO) system enables gap-filling and partitioning of fluxes and subsequently provides diagnostics and results. Quality data from robust systems like DINGO ensure the utility and uptake of flux data and facilitates synergies between flux, remote sensing and modelling.
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