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

Viewed

Total article views: 3,316 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,164 1,050 102 3,316 358 86 113
  • HTML: 2,164
  • PDF: 1,050
  • XML: 102
  • Total: 3,316
  • Supplement: 358
  • BibTeX: 86
  • EndNote: 113
Views and downloads (calculated since 10 May 2016)
Cumulative views and downloads (calculated since 10 May 2016)

Cited

Saved (preprint)

Latest update: 14 Dec 2024
Download
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.
Altmetrics
Final-revised paper
Preprint