Beringer, J. & McHugh, I. (2026). Riggs Creek FLUXNET Release 2026_r1. Version 2026_r1. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/nvg6-hr60
Riggs Creek 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: 2026-03-19
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 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 Riggs Creek flux station was located in Goulburn-Broken catchment in North-Eastern Victoria (GPS coordinates: -36.6499, 145.5760).
The flux tower site was located within an area of dryland agriculture. The surrounding area is dominated by broadacre farming practices. The vegetation cover is predominantly pasture. Elevation of the site is close to 152m and mean annual precipitation at a nearby Bereau of Meteorology site measures 650mm.
Maximum temperatures range from 12.3°C (in July) to 29.7°C (in February), while minimum temperatures range from 10.4°C (in July) to 26.8°C (in February).
The instrument mast was 4 meters tall. Heat, water vapour and carbon dioxide measurements were taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall and net radiation were measured. Soil heat fluxes were measured and soil moisture content was gathered using time domain reflectometry.
The flux tower site was located within an area of dryland agriculture. The surrounding area is dominated by broadacre farming practices. The vegetation cover is predominantly pasture. Elevation of the site is close to 152m and mean annual precipitation at a nearby Bereau of Meteorology site measures 650mm.
Maximum temperatures range from 12.3°C (in July) to 29.7°C (in February), while minimum temperatures range from 10.4°C (in July) to 26.8°C (in February).
The instrument mast was 4 meters tall. Heat, water vapour and carbon dioxide measurements were taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall and net radiation were measured. Soil heat fluxes were measured and soil moisture content was gathered using time domain reflectometry.
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 Riggs Creek Flux Station was to: - Monitor and determine the balance of environmental demands for water yields, agricultural productivity, carbon storage and biodiversity within a catchment landscape. - Provide information for other projects (i.e. The Carbon Project which seeks to establish a modelling tool for carbon and water fluxes across various land use types, in order to benefit land management practices in the Goulburn-Broken catchment region.
Lineage
Data collected using standard eddy covariance and meteorological instrumentation on a 5m tower at the Riggs Creek 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,PyFluxProONEFlux
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 Riggs Creek flux tower was located within the Goulburn-Broken catchment, approximately 40km south east of Shepparton, Victoria.
Temporal Coverage
From 2011-01-01 to 2018-01-01
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). OzThe data have been quality controlled using the PyFluxPro software. Quality control checks applied to the data include:
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.
- 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.
Data Quality Assessment Outcome
No anomalous data detected after quality control.
ANZSRC - FOR
GCMD Sciences
Horizontal Resolution
Parameters
Platforms
Temporal Resolution
User Defined
AU-Rig
FLUXNET ID
Author
Co-Author
Contact Point
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
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