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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Does maximization of net carbon profit enable the prediction of vegetation behaviour in savanna sites along a precipitation gradient?
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Cited articles

Barraza, V., Grings, F., Ferrazzoli, P., Huete, A., Restrepo-Coupe, N., Beringer, J., Van Gorsel, E., and Karszenbaum, H.: Behavior of multitemporal and multisensor passive microwave indices in Southern Hemisphere ecosystems, J. Geophys. Res.-Biogeosci., 119, 2231–2244, https://doi.org/10.1002/2014JG002626, 2014.
Barraza, V., Restrepo-Coupe, N., Huete, A., Grings, F., and Van Gorsel, E.: Passive microwave and optical index approaches for estimating surface conductance and evapotranspiration in forest ecosystems, Agric. For. Meteorol., 213, 126–137, https://doi.org/10.1016/j.agrformet.2015.06.020, 2015.
Beringer, J.: Whroo OzFlux tower site, available at: http://hdl.handle.net/102.100.100/14232 (last access: March 2017), 2013.
Bristow, M., Hutley, L. B., Beringer, J., Livesley, S. J., Edwards, A. C., and Arndt, S. K.: Quantifying the relative importance of greenhouse gas emissions from current and future savanna land use change across northern Australia, Biogeosciences, 13, 6285–6303, https://doi.org/10.5194/bg-13-6285-2016, 2016.
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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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