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Data

Dookie 1 Flux Data Collection 

Ver: 1.0
Status of Data: onGoing
Update Frequency: quarterly
Security Classification: unclassified
Dataset Published: 2026-07-27
Dataset Last Modified: 2026-07-27
Metadata viewed 1 times
Dataset accessed 0 times
Metadata Created: 2026-07-13
Metadata Last Modified: 2026-07-27
How to cite this collection:
Arndt, S., McHugh, I. & Loew, M. (2026). Dookie 1 Flux Data Collection. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/37dd193f-595c-4610-8bf9-7a6229ef3c80 
Data can be accessed from the following links:
HTTPOpenDAP
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 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).

The site is a cropland with MAP of ~517mm and MAT of ~16 degrees C and was commissioned on the 2024-09-11. The site is currently managed by the University of Melbourne.
This is the Dookie 1 Flux tower data release of the three towers in the Site.
 
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 Dookie site was established to study the long-term trials of Drought Resilient Farming Practices Program. Investigating the impact of continuous and dual-purpose crops to make the farming system more resilience and profitable.
 
Lineage
Data collected using standard eddy covariance and meteorological instrumentation at the Dookie 1 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 StepsData not provided.
Spatial Description
The site is a mixed farming system with sown annual pasture, canola, wheat, sheep rotation.
 
Temporal Coverage
From 2025-08-25 to on going 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

Data Quality Assessment Scope
If the data quality is poor, the data is filled from alternative sources. Filled data can be identified by the Quality Controls flags in the dataset. Quality control checks include (i) range checks for plausible limits, (ii) spike detection, (iii) dependency on other variables and (iv) manual rejection of date ranges. Specific checks applied to the sonic and IRGA data include 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. For more details, refer to Isaac et al (2017) in the Publications section, https://doi.org/10.5194/bg-14-2903-2017. For further information about the software (PyFluxPro) used to process and quality control the flux data, see https://github.com/OzFlux/PyFluxPro/wiki .
 
Isaac P., Cleverly J., McHugh I., van Gorsel E., Ewenz C. and Beringer, J. (2017). Oz
Data Quality Assessment Outcome
No anomalous data detected after quality control. 
ANZSRC - FOR
Atmospheric sciences
Climate change impacts and adaptation
Ecosystem function
Environmental management
Soil sciences
Data Stream
Fluxes
GCMD Sciences
AGRICULTURE - SOIL MOISTURE/WATER CONTENT
ATMOSPHERE - AIR TEMPERATURE
ATMOSPHERE - ATMOSPHERIC CARBON DIOXIDE
ATMOSPHERE - ATMOSPHERIC PRESSURE MEASUREMENTS
ATMOSPHERE - EVAPOTRANSPIRATION
ATMOSPHERE - HEAT FLUX
ATMOSPHERE - HUMIDITY
ATMOSPHERE - INCOMING SOLAR RADIATION
ATMOSPHERE - LONGWAVE RADIATION
ATMOSPHERE - PRECIPITATION AMOUNT
ATMOSPHERE - SHORTWAVE RADIATION
ATMOSPHERE - TRACE GASES/TRACE SPECIES
ATMOSPHERE - TURBULENCE
ATMOSPHERE - VERTICAL WIND VELOCITY/SPEED
ATMOSPHERE - WIND DIRECTION
ATMOSPHERE - WIND SPEED
BIOSPHERE - PHOTOSYNTHETICALLY ACTIVE RADIATION
BIOSPHERE - RESPIRATION RATE
BIOSPHERE - TERRESTRIAL ECOSYSTEMS
LAND SURFACE - GROSS PRIMARY PRODUCTION (GPP)
LAND SURFACE - LAND PRODUCTIVITY
LAND SURFACE - NET ECOSYSTEM CO2 EXCHANGE (NEE)
LAND SURFACE - SOIL TEMPERATURE
SOLID EARTH - BIOGEOCHEMICAL PROCESSES
Horizontal Resolution
Point Resolution
Parameters
air temperature
downward heat flux at ground level in soil
ecosystem respiration
enhanced vegetation index
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 dioxide in air
mole fraction of water vapor in air
Monin-Obukhov length
net ecosystem exchange
net ecosystem productivity
relative humidity
soil temperature
specific humidity
specific humidity saturation deficit in air
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 flux of available energy
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
vertical component of wind speed
volume fraction of condensed water in soil
water evapotranspiration flux
water vapor partial pressure in air
water vapor saturation deficit in air
wind from direction
wind speed
Platforms
Dookie1 Flux Station
Project
OzFlux
TERN Ecosystem Processes
Temporal Resolution
1 minute - < 1 hour
Topic
climatologyMeteorologyAtmosphere
environment
farming
User Defined
AU-Do1
Eddy Covariance
Author
Arndt, Stefan
Co-Author
McHugh, Ian
Loew, Markus
Contact Point
Arndt, Stefan
Principal Investigator
Arndt, Stefan
Publisher
Terrestrial Ecosystem Research Network
Beringer, Jason et al., 2016. An introduction to the Australian and New Zealand flux tower network – OzFlux. Biogeosciences, 13(21). doi:10.5194/bg-13-5895-2016
Isaac, Peter et al., 2017. OzFlux data: network integration from collection to curation. Biogeosciences, 14(12). doi:10.5194/bg-14-2903-2017
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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/ 
This data was created with an automated process and may not closely represent the real situation at the site for certain parameters due to lack of input from someone with detailed site knowledge. 
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 
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