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Wedgetail Flux Data 2025_v2 

Ver: 2025_v2
Status of Data: completed
Update Frequency: quarterly
Security Classification: unclassified
Record Last Modified: 2026-05-15
Viewed 0 times
Accessed 0 times
Dataset Created: 2024-06-26
Dataset Published: 2026-05-15
HTTPPoint-of-truth metadata URL
HTTPro-crate-metadata.json
Data can be accessed from the following links:
HTTPOpenDAP
How to cite this collection:
Hovenden, M. & Yates, B. (2026). Wedgetail Flux Data 2025_v2. Version 2025_v2. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/cme1-ew43 
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 Wedge Tail flux tower (42°05'29"S, 147°04'46"E) is located on the traditional lands of the Lairmairrener people within the Silver Plains Reserve, a property managed by the Tasmanian Land Conservancy.
Installed on 29 July 2024 by the University of Tasmania, the Wedge Tail flux tower is situated approximately 550 meters from the adjacent Silver Plains Flux Tower. 
The surrounding landscape is a gently south-southwest sloping, species-rich sedgeland and grassland, with a history of grazing. Positioned at an elevation of 860 meters, the site receives an average annual precipitation of approximately 900 mm. The soil at the site is organosol on a Jurassic dolerite geology. Average seasonal temperatures range from 16°C in summer to 6°C in winter. 
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 Wedgetail flux tower is to: - Monitor exchanges of carbon dioxide, water vapour and energy in a high-altitude grassy peatland ecosystem on the Tasmanian Central Plateau.
- Quantify the carbon balance of the ecosystem, along with the key components of net ecosystem exchange, gross primary productivity and ecosystem respiration.
- Identify key environmental and climatic drivers of carbon, water and energy fluxes.
- Complement manual chamber measurements of net ecosystem CO2 exchange in an adjacent climate change experiment.
- Utilize measurements alongside manual chamber measurements and ancillary environmental variables to model ecosystem carbon dynamics under a future climate. Furthermore Wedgetail serves as a control site for the Silver Plains flux tower (AU-Sil), situated ~550m east of Wedgetail, which will undergo hydrological remediation from 2027-2028. 
Lineage
Data collected using standard eddy covariance and meteorological instrumentation on a 2.6m tower at the Wedgetail 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
Data not provided. 
Temporal Coverage
From 2024-06-26 to 2025-08-25 
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
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
Wedgetail Flux Station
Project
OzFlux
TERN Ecosystem Processes
Temporal Resolution
1 minute - < 1 hour
Topic
climatologyMeteorologyAtmosphere
environment
User Defined
AU-Wgt
Author
Hovenden, Mark
Co-Author
Yates, Bethany
Contact Point
Hovenden, Mark
Yates, Bethany
Publisher
Terrestrial Ecosystem Research Network
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Terrestrial Ecosystem Research Network
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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.
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