logo
Data

Boyagin FLUXNET Release 2025_r1 

Ver: 2025_r1
Status of Data: completed
Update Frequency: annually
Security Classification: unclassified
Dataset Published: 2026-03-25
Dataset Last Modified: 2026-08-18
Metadata viewed 9 times
Dataset accessed 1 times
Metadata Created: 2025-12-11
Metadata Last Modified: 2026-08-19
How to cite this collection:
Beringer, J. & Moore, C. (2026). Boyagin FLUXNET Release 2025_r1. Version 2025_r1. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/etr2-2p40 
Data can be accessed from the following links:
OPeNDAP2025_r1
HTTPPoint-of-truth metadata URL
HTTPro-crate-metadata.json
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 Boyagin Wandoo Woodland flux station is located approximately 12km west of Pingelly, near Perth, Western Australia. It was established in September 2017 and is managed by the University of Western Australia. The flux tower site is located within an area of wandoo woodland. The surrounding area is dominated by broadacre farming practices. Elevation of the site is close to 484m and mean annual precipitation at a nearby Bureau of Meteorology site at Pingelly measures 446mm. Maximum temperatures range from 15.3°C (in July) to 31.9°C (in Jan), while minimum temperatures range from 5.5°C (in July) to 15.5°C (in Jan). The instrument mast is 4 meters tall. Heat, water vapour, and carbon dioxide measurements are taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall and net radiation are measured. Soil heat fluxes are measured and soil moisture content are collected. 
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 Boyagin flux station is to:
  • -Monitor and determine the balance of environmental demands for water yields, agricultural productivity, GHG budgets and biodiversity within a catchment landscape.
  • -Provide information to establish a modelling tool for GHG and water fluxes across various land use types, in order to benefit land management practices in the wheatbelt of Western Australia.
The tower is a crucial component of the UWA critical zone observatory which will be the site of a multidisciplinary approach to understanding the landscape dynamics. 
Lineage
Data not provided. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Spatial Description
The Boyagin Wandoo Woodland flux tower is located in the wheatbelt of Western Australia about 200km southeast from Perth, Western Australia. 
Temporal Coverage
From 2017-10-20 to 2025-01-01 
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
Data Stream
Fluxes
GCMD Sciences
ATMOSPHERIC RADIATION - LONGWAVE RADIATION
ATMOSPHERIC RADIATION - SHORTWAVE RADIATION
ATMOSPHERIC TEMPERATURE - AIR TEMPERATURE
ATMOSPHERIC WATER VAPOR - EVAPOTRANSPIRATION
ATMOSPHERIC WATER VAPOR - HUMIDITY
ATMOSPHERIC WATER VAPOR - WATER VAPOR
ATMOSPHERIC WATER VAPOR - WATER VAPOR PROCESSES
ATMOSPHERIC WINDS - WIND DIRECTION PROFILES
CARBON FLUX
ECOLOGICAL DYNAMICS - RESPIRATION RATE
GROSS PRIMARY PRODUCTION (GPP)
NET ECOSYSTEM CO2 EXCHANGE (NEE)
PRECIPITATION - LATENT HEAT FLUX
PRECIPITATION - RAIN
SEA ICE - SENSIBLE HEAT FLUX
SENSIBLE HEAT FLUX
SOILS
VERTICAL WIND VELOCITY/SPEED
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
Project
TERN Ecosystem Processes
Temporal Resolution
1 minute - < 1 hour
Topic
climatologyMeteorologyAtmosphere
environment
User Defined
AU-Boy
FLUXNET ID
Author
Beringer, Jason
Contact Point
Isaac, Peter
Moore, Caitlin
Beringer, Jason
Principal Investigator
Moore, Caitlin
Beringer, Jason
Publisher
Terrestrial Ecosystem Research Network
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/
The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/ 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
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