This release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques. Data were processed using PyFluxPro as described by Isaac et al. (2017) for the quality control and post-processing steps. The final, gap-filled product containing Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER) has been produced using the ONEFlux software as described in Pastorello et al. (2020). This data set has been produced as part of the FLUXNET Shuttle project. The Otway flux station was established in February 2007 on private land at Nirranda South in south west Victoria, Australia (GPS coordinates: -38.5323, 142.8168; elevation: 54m). It was managed by CSIRO Marine and Atmospheric Research staff as part of the Cooperative Research Centre for Greenhouse Gas Technologies.
The pasture was grazed by dairy cattle with average grass height of 0.1m.
Annual average rainfall at the site was around 800mm and was only moderately seasonal. Mean daily temperature ranged from 25°C in February to 12°C in July.
The flux station was situated on a 10m tower. Fluxes of heat, water vapour and carbon dioxide were measured using the open-path eddy covariance technique. Supplementary measurements included temperature, humidity, rainfall, total solar, photosynthetically active radiation (PAR) and net radiation. Soil temperature and heat flux were also measured.
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
Lineage
Data collected using standard eddy covariance and meteorological instrumentation on a 10m tower at the Otway site. The data were quality controlled using the PyFluxPro software package, see Isaac et al. (2017), which is available at
https://github.com/OzFlux/PyFluxPro. Gap filling and partitioning has been done using the ONEFlux software package, see Pastorello et al. 2020, which is available at
https://github.com/fluxnet/ONEFlux.
Procedure Steps1.
Data is measured using standard micro-meteorological instrumentation on a flux tower.
2.
Data is recorded on a data logger and is collected by the site PI.
3.
Data quality control including removal of data outside plausible ranges, removal of spikes, exclusion of particular date ranges and removal of data based on the dependence of one variable on another is done using PyFluxPro.
4.
Filtering for low-ustar conditions, gap filling and partitioning of NEE into GPP and ER are done using ONEFlux.