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Articles | Volume 14, issue 6
Articles | Volume 14, issue 6
https://doi.org/10.5194/bg-14-1457-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/bg-14-1457-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 14, issue 6
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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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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OzFlux: a network for the study of ecosystem carbon and water...
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