Data Apps
EcoAcousticsEcoImagesEcoPlots
Tools
CoESRA Virtual DesktopData DiscoveryLandscape Data VisualiserSHaRED Data SubmissionTERN Linked Data ResourcesTERN Account
Resources
Terms Of UseDisclaimerCopyrightData LicensingHelp & Support
logo
Data

Data Discovery

  • Home
  • Search
  • Resources
    LTES SurveyResearch Infrastructure
    TDDP User ManualTDDP API

Calperum Chowilla FLUXNET Release 2025_r1 

Ver: 2025_r1
Status of Data: completed
Update Frequency: annually
Security Classification: unclassified
Record Last Modified: 2026-03-25
Viewed 1 times
Accessed 1 times
Dataset Created: 2025-12-12
Dataset Published: 2026-03-25
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLOPeNDAP2025_r1 FLUXNET DataHTTPro-crate-metadata.json
How to cite this collection:
Meyer, W., Ewenz, C., Koerber, G. & Lubcke, T. (2026). Calperum Chowilla FLUXNET Release 2025_r1. Version 2025_r1. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/rt0r-ep05 
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 (v3.4.21) 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 the University of Adelaide, coordinated by Prof Wayne Meyer and Prof David Chittleborough of the Landscape Futures Program as part of the Environment Institute. This is a former sheep grazing 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:
  • measure the energy, CO2 and H2O balance of mallee shrub land for short term (days) and long term (years)
  • link vegetation and ecosystem response to soil, atmosphere and local management conditions to explain daily and seasonal variation in exchange processes
  • use the site data to broaden environmental monitoring data for Ozflux and climate interpretation at the continental scale
  • 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 20m tower at the Calperum 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. 
Method DocumentationPastorello, G., Trotta, C., Canfora, E. et al. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci Data 7, 225 (2020).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: 2903-2928PyFluxProONEFlux
Procedure Steps

1. 

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. 

Spatial Description
The Calperum Chowilla flux tower is located north of Renmark in the South Australia Riverland. 
Temporal Coverage
From 2010-07-30 to 2025-09-09 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

Data Quality Assessment Scope
The data have been quality controlled using the PyFluxPro software. Quality control checks applied to the data include:
  • 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 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.

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.

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. 
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: 2903-2928
Data Quality Assessment Outcome
No anomalous data detected after quality control. 
ANZSRC - FOR
Atmospheric sciences
Carbon sequestration science
Climate change impacts and adaptation
Climatology
Ecosystem function
Meteorology
Soil sciences
GCMD Sciences
ATMOSPHERE - AIR TEMPERATURE
ATMOSPHERE - EVAPOTRANSPIRATION
ATMOSPHERE - HUMIDITY
ATMOSPHERE - LATENT HEAT FLUX
ATMOSPHERE - LONGWAVE RADIATION
ATMOSPHERE - RAIN
ATMOSPHERE - SHORTWAVE RADIATION
ATMOSPHERE - VERTICAL WIND VELOCITY/SPEED
ATMOSPHERE - WATER VAPOR
ATMOSPHERE - WATER VAPOR PROCESSES
ATMOSPHERE - WIND DIRECTION PROFILES
BIOSPHERE - RESPIRATION RATE
CLIMATE INDICATORS - CARBON FLUX
CRYOSPHERE - SENSIBLE HEAT FLUX
LAND SURFACE - GROSS PRIMARY PRODUCTION (GPP)
LAND SURFACE - NET ECOSYSTEM CO2 EXCHANGE (NEE)
LAND SURFACE - SENSIBLE HEAT FLUX
LAND SURFACE - SOILS
Horizontal Resolution
250 meters - < 500 meters
Parameters
air temperature
downward heat flux at ground level in soil
ecosystem respiration
gross primary productivity
lateral component of wind speed
longitudinal component of wind speed
magnitude of surface downward stress
mass concentration of water vapor in air
mole fraction of carbon monoxide in dry air
mole fraction of water vapor in air
Monin-Obukhov length
net ecosystem exchange
net ecosystem productivity
net primary productivity of biomass expressed as carbon accumulated in miscellaneous living matter
relative humidity
soil temperature
surface air pressure
surface downwelling longwave flux in air
surface downwelling shortwave flux in air
surface friction velocity
surface net downward radiative flux
surface upward latent heat flux
surface upward mole flux of carbon dioxide
surface upward sensible heat flux
surface upwelling longwave flux in air
surface upwelling shortwave flux in air
thickness of rainfall amount
volume fraction of condensed water in soil
wind from direction
wind speed
Temporal Resolution
1 minute - < 1 hour
Topic
climatologyMeteorologyAtmosphere
environment
User Defined
AU-Cpr
FLUXNET ID
mallee woodland
Author
Meyer, Wayne
Co-Author
Ewenz, Cacilia
Koerber, Georgia
Lubcke, Tim
Contact Point
Meyer, Wayne
Isaac, Peter
Principal Investigator
Meyer, Wayne
Publisher
Terrestrial Ecosystem Research Network
Export to DCATExport to BibTeXExport to EndNote/Zotero
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
Contact Us
Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 

Contact us

Physical & Mail Address
The University of Queensland
Long Pocket Precinct
Level 5, Foxtail Building #1019
80 Meiers Road
Indooroopilly QLD 4068 Australia

General enquiries
P: (07) 3365 9097
tern@uq.edu.au

Data Support
esupport@tern.org.au

Subscribe for project updates, data releases, research findings, and users stories direct to your inbox.

Funding

TERN is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy, NCRIS.

Co-investment

Accreditation

CoreTrustSeal

Resources

Terms Of Use

Disclaimer

Copyright

Data Licensing

Help & Support

Key Operating Partners
Version:6.2.24