Meyer, W., Ewenz, C., Koerber, G. & Lubcke, T. (2026). Calperum Chowilla FLUXNET Release 2026_r1. Version 2026_r1. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/braj-w973
Calperum Chowilla FLUXNET Release 2026_r1
Ver: 2026_r1
Status of Data: completed
Update Frequency: annually
Security Classification: unclassified
Record Last Modified: 2026-04-02
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Dataset Created: 2026-03-02
Dataset Published: 2026-04-02
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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 (v3.4.23) 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 Calperum Chowilla site was established in July 2010 and is managed by Adelaide University, coordinated by Prof Wayne Meyer and Prof David Chittleborough of the Landscape Future Program as part of the Environment Institute. This is a former sheep graing property that has been destocked and is being managed as a conservation area in this type of ecosystem. The landscape is flat with a series of low east-west sand dunes. The dunes are remnants of a previous dry era and are mostly now stabilized by mallee (multi-stemmed Eucalypt trees) and various shrubs. It is a semi-arid environment fringing the River Murray floodplains of the Riverland.
The Calperum Chowilla site was established in July 2010 and is managed by Adelaide University, coordinated by Prof Wayne Meyer and Prof David Chittleborough of the Landscape Future Program as part of the Environment Institute. This is a former sheep graing property that has been destocked and is being managed as a conservation area in this type of ecosystem. The landscape is flat with a series of low east-west sand dunes. The dunes are remnants of a previous dry era and are mostly now stabilized by mallee (multi-stemmed Eucalypt trees) and various shrubs. It is a semi-arid environment fringing the River Murray floodplains of the Riverland.
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.
Purpose
The purpose of the Calperum Chowilla flux station is to : 1) Measure the energy, CO2 and H2O balance of mallee shrub land for short term (days) and long term (years).
2) Link vegetation and ecosystem response to soil, atmosphere and local management conditions to explain daily and seasonal variation in exchange processes.
3) Use the site data to broaden environmental monitoring data for Ozflux and climate interpretation at the continental scale.
4) Use the measured data to develop and test predictive models of vegetation and related ecosystems that can be used to improve restorative actions in conservation of this type of ecosystem.
2) Link vegetation and ecosystem response to soil, atmosphere and local management conditions to explain daily and seasonal variation in exchange processes.
3) Use the site data to broaden environmental monitoring data for Ozflux and climate interpretation at the continental scale.
4) Use the measured data to develop and test predictive models of vegetation and related ecosystems that can be used to improve restorative actions in conservation of this type of ecosystem.
Lineage
Data collected using standard eddy covariance and meteorological instrumentation on a 20 m tower at the Calperum Chowilla flux tower site. The data were quality controlled using the PyFluxPro software package, see Isaac et al. (2017), which is available at https://github.com/ternaustralia/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.
Method DocumentationPastorello G, Trotta C, Canfora E, et al. (2020). The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci Data 7, 225.Isaac P. Cleverly J., McHugh I., van Gorsel E., Ewenz C., and Beringer J. (2017). OzFlux data: network integration from collection to curation. Biogeosciences, 14: 2903-2928ONEFluxPyFluxPro
Procedure Steps
1.
Data is measured using standard micrometeorological 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 vriable 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.
Spatial Description
The Calperum Chowilla flux tower is located north of Renmark in the South Australian Riverland.
Temporal Coverage
From 2010-07-30 to 2025-12-31
Spatial Resolution
Data not provided.
Vertical Extent
Data not provided.
Data Quality Assessment Scope
Isaac P. Cleverly J., McHugh I., van Gorsel E., Ewenz C., and Beringer J. (2017). OzFlux data: network integration from collection to curation. Biogeosciences, 14: 2903-2928The data has been quality controlled using the PyFluxPro software. Quality control checks applied to the data include:
Specific checks applied to the sonic and IRGA data includeing 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.
If the data quality is poor, the meteorological data is filled from ERA5 reanalysis data and fluxes are filled using the Marginal Distribution Samling method. Filled data can be identified by the Quality Control flags in the dataset.
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.
- range checks for plausible limits
- spike detection and removal
- dependency on other variables
- manual rejection of date ranges
Specific checks applied to the sonic and IRGA data includeing 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.
If the data quality is poor, the meteorological data is filled from ERA5 reanalysis data and fluxes are filled using the Marginal Distribution Samling method. Filled data can be identified by the Quality Control flags in the dataset.
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.
Data Quality Assessment Outcome
No anomalous data detected after quality control.
ANZSRC - FOR
GCMD Sciences
Horizontal Resolution
Parameters
Platforms
Temporal Resolution
User Defined
AU-Cpr
Mallee woodland
Author
Contact Point
Principal Investigator
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
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