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Biogeosciences An interactive open-access journal of the European Geosciences Union
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Volume 14, issue 12
Biogeosciences, 14, 2903–2928, 2017
https://doi.org/10.5194/bg-14-2903-2017
© 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...

Biogeosciences, 14, 2903–2928, 2017
https://doi.org/10.5194/bg-14-2903-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 19 Jun 2017

Research article | 19 Jun 2017

OzFlux data: network integration from collection to curation

Peter Isaac et al.
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Cited articles  
Abramowitz, G: Towards a benchmark for land surface models, Geophys. Res. Lett., 32, L22702, https://doi.org/10.1029/2005GL024419, 2005.
Abramowitz, G., Gupta, H., Pitman, A., Wang, Y., Leuning, R., Cleugh, H., and Hsu, K. L.: Neural Error Regression Diagnosis (NERD): A tool for model bias identification and prognostic data assimilation, J. Hydrometeorol., 7, 160–177, 2006.
Arndt, S.: Wombat State Forest OzFlux-tower site OzFlux: Australian and New Zealand Flux Research and Monitoring hdl: 102.100.100/14237, 2013.
Aubinet M: Eddy covariance CO2 flux measurements in nocturnal conditions: An analysis of the problem, Ecol. Appl., 18, 1368–1378, 2008.
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Networks of flux towers present diverse challenges to data collectors, managers and users. For data collectors, the goal is to minimise the time spent producing usable data sets. For data managers, the challenge is making data available in a timely and broad manner. For data users, the quest is for consistency in data processing across sites and networks. The OzFlux data path was developed to address these disparate needs and serves as an example of intra- and inter-network integration.
Networks of flux towers present diverse challenges to data collectors, managers and users. For...
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