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

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

doi:https://doi.org/10.5194/bg-14-1457-2017

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:

OzFlux: a network for the study of ecosystem carbon and water...

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

Supplement

https://doi.org/10.5194/bg-14-1457-2017-supplement

Data sets

Whroo OzFlux tower site J. Beringer http://hdl.handle.net/102.100.100/14232

Calperum Chowilla OzFlux tower site Calperum Tech http://hdl.handle.net/102.100.100/14236

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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.