Brief description
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 Collie flux station was located approximately 10km southeast of Collie, near Perth, Western Australia (GPS coordinates: -33.420, 116.237; elevation 384m).
It was established in August 2017, stopped measuring in November 2019, and the flux instrumentation was managed by The University of Western Australia.
The flux tower site was located within an area of wandoo woodland. Elevation of the site was close to 384 m. Climate information came from the nearby Collie BoM AWS station 009628 (1899 to present) and shows mean annual precipitation was approximately 933 mm with highest rainfall in June and July of ~176 mm each month.
Maximum temperatures range from 30.5°C (in Jan) to 15.5°C (in July), while minimum temperatures range from 4.2°C (in July) to 13.2 °C (in Jan).
The instrument mast was 35m tall. Heat, water vapour, and carbon dioxide measurements were taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, soil heat fluxes, soil temperature, and soil moisture content were also collected.
Lineage
Data collected using standard eddy covariance and meteorological instrumentation on a 35m tower at the Collie 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.Data Creation
Data is measured using standard micro-meteorological instrumentation on a flux tower.
Data is recorded on a data logger and is collected by the site PI.
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.
Filtering for low-ustar conditions, gap filling and partitioning of NEE into GPP and ER are done using ONEFlux.
Notes
CreditWe 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.
The purpose of the Collie flux station was:
- to provide nationally consistent observations in micrometeorology (climate, radiation, fluxes of carbon and water).
- to provide longterm measurements as part of the Ozflux network
The tower was a component of the UWA critical zone observatory.
Data Quality Assessment Scope
local :
dataset
The data have been quality controlled using the PyFluxPro software. Quality control checks applied to the data include:<ul style="list-style-type: disc;">
<li>range checks for plausible limits</li>
<li>spike detection and removal</li>
<li>dependency on other variables</li>
<li>manual rejection of date ranges</li></ul>
<br>
Specific checks applied to the sonic and IRGA data including rejection of points based on the sonic and IRGA diagnostic values and on either automatic gain control (AGC) or CO2 and H2O signal strength, depending upon the configuration of the IRGA.</br>
<br>If the data quality is poor, the meteorological data is filled from ERA5 reanalysis data and fluxes are filled using the Marginal Distribution Sampling method. Filled data can be identified by the Quality Controls flags in the dataset. </br>
<br>The ONEFlux software used to gap fill and partition this data set also applies a Median Absolute Deviation (MAD) filter to the carbon dioxide, latent heat and sensible heat before the gap filling step.</br>
Isaac P., Cleverly J., McHugh I., van Gorsel E., Ewenz C. and Beringer, J. (2017). Oz
doi :
https://doi.org/10.5194/bg-14-2903-2017
Data Quality Assessment Result
local :
Quality Result
No anomalous data detected after quality control.
Created: 2026-03-13
Issued: 2026-04-07
Modified: 2026-04-07
Data time period: 2017-01-01 to 2020-01-01
text: The Collie flux tower is located approximately 10km southeast of Collie, near Perth, Western Australia.
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Point-of-truth metadata URL
Isaac P., Cleverly J., McHugh I., van Gorsel E., Ewenz C. and Beringer, J. (2017). OzFlux data: network integration from collection to curation,
doi :
https://doi.org/10.5194/bg-14-2903-2017![]()
PyFluxPro
uri :
https://github.com/OzFlux/PyFluxPro![]()
ONEFlux
uri :
https://github.com/fluxnet/ONEFlux![]()
Pastorello, G., Trotta, C., Canfora, E. et al. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci Data 7, 225 (2020).
- URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/312d6132-069b-4076-a817-f369221289b8
- global : 312d6132-069b-4076-a817-f369221289b8
